#By Applications( Aerospace
Explore tagged Tumblr posts
Text
"Designer Saul Feldman looks at a model of a proposed lunar module that would earth-orbit carrying the Apollo Telescope Mount."
Date: March 18, 1969
Long Island Daily Press Identifier: aql:16776 ldp-000253 ldp-000253.tif
#Skylab Orbital Workshop#Skylab OWS#Skylab#Skylab I#Skylab 1#SL-1#Space Station#Apollo Telescope Mount#ATM#Apollo Applications Program#Lunar Module#NASA#Apollo Program#Grumman Aerospace Corporation#Grumman#Factory#Bethpage#Long Island#New York#model#March#1969#cancelled#my post
23 notes
·
View notes
Text
Machine learning unlocks secrets to advanced alloys
New Post has been published on https://thedigitalinsider.com/machine-learning-unlocks-secrets-to-advanced-alloys/
Machine learning unlocks secrets to advanced alloys
The concept of short-range order (SRO) — the arrangement of atoms over small distances — in metallic alloys has been underexplored in materials science and engineering. But the past decade has seen renewed interest in quantifying it, since decoding SRO is a crucial step toward developing tailored high-performing alloys, such as stronger or heat-resistant materials.
Understanding how atoms arrange themselves is no easy task and must be verified using intensive lab experiments or computer simulations based on imperfect models. These hurdles have made it difficult to fully explore SRO in metallic alloys.
But Killian Sheriff and Yifan Cao, graduate students in MIT’s Department of Materials Science and Engineering (DMSE), are using machine learning to quantify, atom-by-atom, the complex chemical arrangements that make up SRO. Under the supervision of Assistant Professor Rodrigo Freitas, and with the help of Assistant Professor Tess Smidt in the Department of Electrical Engineering and Computer Science, their work was recently published in The Proceedings of the National Academy of Sciences.
Interest in understanding SRO is linked to the excitement around advanced materials called high-entropy alloys, whose complex compositions give them superior properties.
Typically, materials scientists develop alloys by using one element as a base and adding small quantities of other elements to enhance specific properties. The addition of chromium to nickel, for example, makes the resulting metal more resistant to corrosion.
Unlike most traditional alloys, high-entropy alloys have several elements, from three up to 20, in nearly equal proportions. This offers a vast design space. “It’s like you’re making a recipe with a lot more ingredients,” says Cao.
The goal is to use SRO as a “knob” to tailor material properties by mixing chemical elements in high-entropy alloys in unique ways. This approach has potential applications in industries such as aerospace, biomedicine, and electronics, driving the need to explore permutations and combinations of elements, Cao says.
Capturing short-range order
Short-range order refers to the tendency of atoms to form chemical arrangements with specific neighboring atoms. While a superficial look at an alloy’s elemental distribution might indicate that its constituent elements are randomly arranged, it is often not so. “Atoms have a preference for having specific neighboring atoms arranged in particular patterns,” Freitas says. “How often these patterns arise and how they are distributed in space is what defines SRO.”
Understanding SRO unlocks the keys to the kingdom of high-entropy materials. Unfortunately, not much is known about SRO in high-entropy alloys. “It’s like we’re trying to build a huge Lego model without knowing what’s the smallest piece of Lego that you can have,” says Sheriff.
Traditional methods for understanding SRO involve small computational models, or simulations with a limited number of atoms, providing an incomplete picture of complex material systems. “High-entropy materials are chemically complex — you can’t simulate them well with just a few atoms; you really need to go a few length scales above that to capture the material accurately,” Sheriff says. “Otherwise, it’s like trying to understand your family tree without knowing one of the parents.”
SRO has also been calculated by using basic mathematics, counting immediate neighbors for a few atoms and computing what that distribution might look like on average. Despite its popularity, the approach has limitations, as it offers an incomplete picture of SRO.
Fortunately, researchers are leveraging machine learning to overcome the shortcomings of traditional approaches for capturing and quantifying SRO.
Hyunseok Oh, assistant professor in the Department of Materials Science and Engineering at the University of Wisconsin at Madison and a former DMSE postdoc, is excited about investigating SRO more fully. Oh, who was not involved in this study, explores how to leverage alloy composition, processing methods, and their relationship to SRO to design better alloys. “The physics of alloys and the atomistic origin of their properties depend on short-range ordering, but the accurate calculation of short-range ordering has been almost impossible,” says Oh.
A two-pronged machine learning solution
To study SRO using machine learning, it helps to picture the crystal structure in high-entropy alloys as a connect-the-dots game in an coloring book, Cao says.
“You need to know the rules for connecting the dots to see the pattern.” And you need to capture the atomic interactions with a simulation that is big enough to fit the entire pattern.
First, understanding the rules meant reproducing the chemical bonds in high-entropy alloys. “There are small energy differences in chemical patterns that lead to differences in short-range order, and we didn’t have a good model to do that,” Freitas says. The model the team developed is the first building block in accurately quantifying SRO.
The second part of the challenge, ensuring that researchers get the whole picture, was more complex. High-entropy alloys can exhibit billions of chemical “motifs,” combinations of arrangements of atoms. Identifying these motifs from simulation data is difficult because they can appear in symmetrically equivalent forms — rotated, mirrored, or inverted. At first glance, they may look different but still contain the same chemical bonds.
The team solved this problem by employing 3D Euclidean neural networks. These advanced computational models allowed the researchers to identify chemical motifs from simulations of high-entropy materials with unprecedented detail, examining them atom-by-atom.
The final task was to quantify the SRO. Freitas used machine learning to evaluate the different chemical motifs and tag each with a number. When researchers want to quantify the SRO for a new material, they run it by the model, which sorts it in its database and spits out an answer.
The team also invested additional effort in making their motif identification framework more accessible. “We have this sheet of all possible permutations of [SRO] already set up, and we know what number each of them got through this machine learning process,” Freitas says. “So later, as we run into simulations, we can sort them out to tell us what that new SRO will look like.” The neural network easily recognizes symmetry operations and tags equivalent structures with the same number.
“If you had to compile all the symmetries yourself, it’s a lot of work. Machine learning organized this for us really quickly and in a way that was cheap enough that we could apply it in practice,” Freitas says.
Enter the world’s fastest supercomputer
This summer, Cao and Sheriff and team will have a chance to explore how SRO can change under routine metal processing conditions, like casting and cold-rolling, through the U.S. Department of Energy’s INCITE program, which allows access to Frontier, the world’s fastest supercomputer.
“If you want to know how short-range order changes during the actual manufacturing of metals, you need to have a very good model and a very large simulation,” Freitas says. The team already has a strong model; it will now leverage INCITE’s computing facilities for the robust simulations required.
“With that we expect to uncover the sort of mechanisms that metallurgists could employ to engineer alloys with pre-determined SRO,” Freitas adds.
Sheriff is excited about the research’s many promises. One is the 3D information that can be obtained about chemical SRO. Whereas traditional transmission electron microscopes and other methods are limited to two-dimensional data, physical simulations can fill in the dots and give full access to 3D information, Sheriff says.
“We have introduced a framework to start talking about chemical complexity,” Sheriff explains. “Now that we can understand this, there’s a whole body of materials science on classical alloys to develop predictive tools for high-entropy materials.”
That could lead to the purposeful design of new classes of materials instead of simply shooting in the dark.
The research was funded by the MathWorks Ignition Fund, MathWorks Engineering Fellowship Fund, and the Portuguese Foundation for International Cooperation in Science, Technology and Higher Education in the MIT–Portugal Program.
#3d#advanced materials#aerospace#alloys#applications#approach#arrangement#Artificial Intelligence#atom#atomic#atoms#biomedicine#book#Building#Capture#Casting#challenge#change#chemical#chemical bonds#chemical elements#chromium#classes#classical#complexity#Composition#computer#Computer modeling#computer models#Computer Science
2 notes
·
View notes
Text
it's me, I'm the math and science autism
4 notes
·
View notes
Text
Innovative Colorless Polyimide Films: Trends, Opportunities, and Key Players Boosting Modern Industries
The Colorless Polyimide Films (CPI) market is experiencing rapid growth due to rising demand across industries like electronics, aerospace, and renewable energy. CPI films stand out for their exceptional heat resistance, mechanical strength, and transparency—critical for applications such as flexible displays and solar panels. Unlike traditional, amber-tinted polyimides, CPI films maintain optical clarity under harsh conditions. Advances in polymer synthesis and film processing technology are enhancing their transparency and durability, while ongoing R&D seeks to overcome production costs and improve sustainability.
The colorless polyimide films market is projected to grow from USD 96 million in 2022 to USD 1,102 million by 2027, at a CAGR of 60.0% during the forecast period.
Asia-Pacific leads in CPI film production, supported by robust industrial infrastructure in countries like China, Japan, and South Korea. Meanwhile, North America and Europe maintain competitive positions through substantial research investments and high manufacturing standards. Challenges remain, particularly in achieving cost-efficient production without compromising film properties. However, the push for innovative and environmentally friendly products positions CPI films for further integration into consumer electronics, aerospace engineering, and energy solutions.
Future trends indicate sustained expansion, as technological shifts continue to prioritize flexible, transparent materials. Collaborative ventures between tech manufacturers and CPI film producers are expected to stimulate further advancements, helping to streamline production and expand usage in various applications. CPI films are set to play an integral role in shaping modern technology and sustainability practices.
The Colorless Polyimide Films (CPI) market is competitive, featuring several prominent players contributing to innovation and market expansion. Key companies include DuPont, known for its strong portfolio of advanced materials, and Kolon Industries Inc., which has been significant in developing flexible display components. Kaneka Corporation is another major name, focusing on high-performance polymer solutions. Sumitomo Chemical brings extensive experience in chemical manufacturing and specialty films, while SKC Inc. leverages its expertise in film technology to capture market share. Wuhan Imide New Materials Technology Co., Ltd. and Flexterra, Inc. are also notable for their contributions to niche applications and research efforts.
These companies are investing in R&D to enhance CPI films' optical properties, flexibility, and thermal resistance, catering to industries that include consumer electronics, aerospace, and renewable energy. Collaborations and strategic partnerships with technology firms are driving the adoption of CPI films in cutting-edge products such as foldable screens and solar panels. With a focus on improving production efficiency and sustainability, market players are well-positioned to capitalize on the growing demand for advanced, transparent, and durable materials.
To Know More Download PDF Brochure :
The Colorless Polyimide Films (CPI) market is rich with opportunities as sustainability efforts and technological advancements continue to evolve. Leading players such as DuPont, Kolon Industries, and Kaneka Corporation play a pivotal role, focusing on innovation and partnerships to enhance product performance and meet the needs of modern industries.
#Colorless polyimide films#market trends#industry opportunities#key players#advanced electronics#aerospace applications#sustainable solutions.
0 notes
Text
Ferrochrome Market Size, Share, Demand, Future Growth, Challenges and Competitive Analysis
"Global Ferrochrome Market – Industry Trends and Forecast to 2029
Global Ferrochrome Market, By Type (High Carbon, Medium Carbon, Low Carbon, and Ferro Silico Chrome), Application (Stainless Steel, Cast Iron, Powder Metallurgy, and Others) - Industry Trends and Forecast to 2029.
Access Full 350 Pages PDF Report @
**Segments**
- **Type**: - High Carbon Ferrochrome - Medium Carbon Ferrochrome - Low Carbon Ferrochrome
- **Application**: - Stainless Steel - Engineering Steel - Alloy Steel - Others
- **End-Use Industry**: - Aerospace - Automotive - Construction - Others
The ferrochrome market can be segmented based on type, application, and end-use industry. In terms of type, the market is divided into high carbon ferrochrome, medium carbon ferrochrome, and low carbon ferrochrome. High carbon ferrochrome is primarily used in stainless steel production, while medium and low carbon ferrochrome find applications in engineering steel and alloy steel manufacturing. Regarding applications, ferrochrome is extensively utilized in stainless steel, engineering steel, alloy steel, and other sectors. Moreover, in terms of end-use industries, aerospace, automotive, construction, and other sectors are major consumers of ferrochrome.
**Market Players**
- Glencore - Eurasian Resources Group - Samancor Chrome - Hernic Ferrochrome - IFM (International Ferro Metals)
The ferrochrome market features key players such as Glencore, Eurasian Resources Group, Samancor Chrome, Hernic Ferrochrome, and IFM (International Ferro Metals). These companies are actively involved in the production, distribution, and marketing of ferrochrome products globally. Glencore, a renowned name in the mining and metals industry, has a significant presence in the ferrochrome market. Similarly, Eurasian Resources Group and Samancor Chrome are major players with a strong foothold in the market. Hernic Ferrochrome and IFM (International Ferro Metals) also play crucial roles in shaping the competitive landscape of the ferrochrome industry.
https://www.databridgemarketresearch.com/reports/global-ferrochrome-marketThe ferrochrome market is witnessing significant growth driven by the increasing demand for stainless steel, engineering steel, and alloy steel across various industries. Stainless steel, a key application of ferrochrome, is widely used in sectors such as construction, automotive, and aerospace due to its corrosion resistance and durability. The aerospace industry, in particular, relies on high-quality stainless steel components for aircraft manufacturing, driving the demand for high carbon ferrochrome. Similarly, the automotive sector utilizes ferrochrome in the production of components such as engine parts and exhaust systems, contributing to the market's growth.
Moreover, the construction industry plays a crucial role in the demand for ferrochrome, as stainless steel is extensively used in infrastructure projects, architectural structures, and building materials. The superior strength and aesthetic appeal of stainless steel make it a preferred choice in construction applications, thereby propelling the consumption of ferrochrome in this sector. Additionally, the engineering steel segment benefits from the properties of medium and low carbon ferrochrome, which enhance the mechanical properties and machinability of steel products used in various industrial applications.
In terms of market players, companies such as Glencore, Eurasian Resources Group, Samancor Chrome, Hernic Ferrochrome, and IFM (International Ferro Metals) are key players driving the growth and innovation in the ferrochrome industry. These companies have a strong global presence and invest in research and development to improve product quality and cater to evolving consumer needs. Glencore, known for its expertise in mining and metals, leverages its extensive resources and technological capabilities to maintain a competitive edge in the ferrochrome market.
Furthermore, technological advancements and strategic alliances among market players are expected to shape the future landscape of the ferrochrome market. Collaboration between manufacturers, end-users, and research institutions can lead to the development of advanced ferrochrome products tailored to specific industry requirements. The growing focus on sustainable practices and environmental regulations also drives innovation in ferrochrome production processes, aiming**Global Ferrochrome Market Analysis**
- **Market Trends**: - The ferrochrome market is experiencing growth due to the rising demand for stainless steel across various industries, including automotive, construction, and aerospace. Stainless steel's corrosion resistance and durability make it a preferred material, driving the need for ferrochrome as a key alloying element. - The construction industry is a significant driver of ferrochrome consumption, as stainless steel is widely utilized in infrastructure projects and architectural applications. The strength and aesthetic appeal of stainless steel contribute to its popularity in the construction sector, thereby boosting the demand for ferrochrome. - Technological advancements and strategic collaborations among market players are shaping the future of the ferrochrome market. Companies are investing in research and development to enhance product quality and meet evolving consumer requirements. Additionally, a focus on sustainable practices and environmental regulations is driving innovation in ferrochrome production processes.
- **Market Forecast**: - The global ferrochrome market is projected to witness steady growth in the coming years, driven by an increasing preference for stainless steel in various applications. The aerospace industry's demand for high-quality stainless steel components and the automotive sector's reliance on ferrochrome for engine parts and exhaust systems will further propel market growth. - The construction industry's continued investments in infrastructure development and architectural projects will fuel the consumption of ferrochrome for stainless steel applications. Moreover, the engineering steel segment is expected to benefit from the properties of medium and low carbon fer
Highlights of TOC:
Chapter 1: Market overview
Chapter 2: Global Ferrochrome Market
Chapter 3: Regional analysis of the Global Ferrochrome Market industry
Chapter 4: Ferrochrome Market segmentation based on types and applications
Chapter 5: Revenue analysis based on types and applications
Chapter 6: Market share
Chapter 7: Competitive Landscape
Chapter 8: Drivers, Restraints, Challenges, and Opportunities
Chapter 9: Gross Margin and Price Analysis
Countries Studied:
North America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)
Browse Trending Reports:
Bio Based Succinic Acid Market Baselayer Compression Shirts Market Trauma Devices Market Dairy Flavours Market Immunogenetics Market l Carnitine Market Iv Infusion Bottle Seals And Caps Market Self Storage And Moving Services Market Acute Bronchitis Market Thrombophilia Market Tetracyclines Market Agricultural Biologicals Market Two Part Adhesive Market Labeling Equipment Market Fruit And Herbal Tea Market Air Filter For Automotive Market Organic Feed Market Soy Milk Infant Formula Market Pallet Stretch Wrapping Machine Market
About Data Bridge Market Research:
Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.
Contact Us:
Data Bridge Market Research
US: +1 614 591 3140
UK: +44 845 154 9652
APAC : +653 1251 975
Email: [email protected]"
#Global Ferrochrome Market – Industry Trends and Forecast to 2029#Global Ferrochrome Market#By Type (High Carbon#Medium Carbon#Low Carbon#and Ferro Silico Chrome)#Application (Stainless Steel#Cast Iron#Powder Metallurgy#and Others) - Industry Trends and Forecast to 2029.#Access Full 350 Pages PDF Report @#https://www.databridgemarketresearch.com/reports/global-ferrochrome-market#**Segments**#- **Type**:#- High Carbon Ferrochrome#- Medium Carbon Ferrochrome#- Low Carbon Ferrochrome#- **Application**:#- Stainless Steel#- Engineering Steel#- Alloy Steel#- Others#- **End-Use Industry**:#- Aerospace#- Automotive#- Construction#The ferrochrome market can be segmented based on type#application#and end-use industry. In terms of type#the market is divided into high carbon ferrochrome
0 notes
Text
Successful Applications of Ceramic Epoxy Adhesives in Various Industries
Ceramic epoxy adhesives are gaining prominence across multiple industries due to their exceptional strength, durability, and resistance to extreme conditions. These adhesives are engineered to bond ceramics and other materials, providing reliable solutions for demanding applications. Their unique properties make them ideal for high-performance environments, particularly in high-temperature applications.
In the aerospace sector, high temperature ceramic epoxy adhesives are used to assemble engine components and thermal protection systems. These adhesives withstand intense heat and mechanical stress, ensuring the structural integrity of critical components. As a result, they contribute significantly to the overall safety and efficiency of aerospace vehicles.
The automotive industry also benefits from the best ceramic epoxy adhesive for bonding parts that experience high stress and exposure to harsh conditions. Manufacturers utilize these adhesives to secure exhaust systems, engine components, and structural elements, enhancing vehicle performance and longevity. Their superior bonding capabilities help reduce the risk of failure, which is paramount in automotive applications.
Another significant application of ceramic epoxy adhesives is in the electronics industry. With the increasing demand for lightweight and durable materials, epoxy bonding adhesives are essential for assembling electronic components. These adhesives provide excellent insulation and thermal stability, making them suitable for circuit boards and other critical electronics, ensuring functionality even under extreme conditions.
In addition to these applications, the construction industry relies on high temperature ceramic adhesives for bonding tiles, stones, and other building materials. Their ability to withstand environmental factors, such as moisture and temperature fluctuations, makes them a preferred choice among builders and contractors.
As an adhesive manufacturer in India, Kohesi Bond offers a range of ceramic epoxy adhesives designed for diverse applications. Our products are formulated to meet the highest industry standards, ensuring reliability and performance. With our commitment to quality and innovation, we provide the right solutions for your adhesive needs, helping you achieve successful outcomes in your projects.
#Ceramic Epoxy Adhesive#High Temperature Adhesives#Industrial Adhesives#Epoxy Bonding#Adhesive Solutions#Aerospace Adhesives#Automotive Adhesives#Electronics Manufacturing#Construction Adhesives#Adhesive Manufacturer in India#High Performance Adhesives#Durable Bonding Solutions#Ceramic Adhesive Applications#Epoxy Adhesive Properties#Advanced Adhesives
1 note
·
View note
Text
#Computational Fluid Dynamics#Aerospace Engineering#Aeroacoustics#Aerospace Propulsion#Aerodynamic Analysis#CFD Applications in Aerospace#Shock-Boundary Layer Interaction#Aeroelastic Analysis#Combustion Modeling#High-Speed Flow Analysis#Turbofan Engine Simulation#Drag Reduction Techniques#Aerospace Vehicle Design#Numerical Simulation in Aerospace#Flow Field Optimization
0 notes
Text
A Signal Processing Company in Defense and Aerospace
#Scenario Simulation#Modelling & Simulation#Signal Processing company in Hyderabad#Radar & EW Sensor Testing#Digital Signal Processing#Ansys STK AGI#Telemetry Receivers Manufacturers in hyderabad#radar target echo simulator#Digital Telemtry Receiver#EW Emitter simulator#Target simulator radar in hyderabad#Radar signal generator in hyderabad#Electronic warfare#sar simulator Hyderabad (synthetic aperture radar )#RF environment simulation#ELINT#comint#sigint simulator#THREAT simulator in hyderabad#Aerospace Signal processing company#Best Signal processing company in Hyderabad#Radar signal processing companies in india#Defense Equipment manufacturing companies#Communication systems IP in hyderabad#CRTK Applications#Telemetry manufacturers from Hyderabad#Digital Telemetry Transmitter#Radar Toolkit for Labview
0 notes
Text
PET Sheets Manufacturer & Supplier for Industries Worldwide: Lyka Global Plast
In today's industrial landscape, the demand for high-quality and versatile materials is ever-increasing. One such material that has gained significant prominence is PET (Polyethylene Terephthalate) sheets. Renowned for their exceptional properties, PET sheets are indispensable across various industries. Lyka Global Plast stands out as a leading manufacturer and supplier of PET sheets, serving industries worldwide with unwavering commitment to quality and innovation.
Understanding PET Sheets
Polyethylene Terephthalate (PET) is a thermoplastic polymer resin of the polyester family, extensively used in manufacturing sheets due to its unique combination of properties. PET sheets are known for their excellent mechanical strength, chemical resistance, and clarity. These sheets are lightweight, durable, and highly versatile, making them ideal for a wide range of applications.
Why Choose Lyka Global Plast for PET Sheets?
1. Quality Assurance
At Lyka Global Plast, quality is not just a promise; it is a commitment. Our PET sheets undergo rigorous quality control processes to ensure they meet the highest industry standards. From raw material selection to the final product, every step is meticulously monitored to deliver sheets that exhibit superior performance and longevity.
2. State-of-the-Art Manufacturing Facilities
Equipped with advanced manufacturing facilities, Lyka Global Plast leverages cutting-edge technology to produce PET sheets of unparalleled quality. Our state-of-the-art machinery and skilled workforce enable us to cater to diverse industrial needs with precision and efficiency.
3. Wide Range of Applications
PET sheets from Lyka Global Plast find applications across a multitude of industries. Whether it's packaging, automotive, electronics, construction, or signage, our PET sheets are designed to meet the specific requirements of each sector. Their exceptional clarity and chemical resistance make them ideal for packaging, while their mechanical strength is highly valued in automotive and construction applications.
4. Customization and Flexibility
Understanding that different industries have unique needs, we offer customization options for our PET sheets. From varying thicknesses to different dimensions, we provide tailored solutions that align perfectly with our clients' requirements. Our flexibility in manufacturing ensures that we can accommodate both small and large orders efficiently.
5. Sustainability Commitment
Sustainability is at the core of Lyka Global Plast's operations. Our PET sheets are recyclable and environmentally friendly, contributing to a circular economy. We are committed to reducing our carbon footprint and promoting sustainable practices across all stages of production.
Applications of PET Sheets
1. Packaging Industry
PET sheets are extensively used in the packaging industry due to their clarity, strength, and chemical resistance. They are ideal for food and beverage containers, blister packaging, and clamshells, ensuring product safety and integrity.
2. Automotive Industry
In the automotive sector, PET sheets are utilized for interior and exterior components due to their durability and resistance to impact and weathering. They contribute to lightweighting vehicles, enhancing fuel efficiency and performance.
3. Electronics Industry
The electronics industry benefits from PET sheets for their insulating properties and dimensional stability. They are used in displays, protective coverings, and electrical insulation applications, ensuring reliability and safety.
4. Construction Industry
PET sheets are valued in construction for their strength and versatility. They are used in glazing, roofing, and interior applications, providing durability and aesthetic appeal.
5. Signage and Advertising
The exceptional clarity and printability of PET sheets make them a preferred choice for signage and advertising materials. They ensure vibrant and durable displays for both indoor and outdoor use.
Conclusion
Lyka Global Plast is your trusted partner for high-quality PET sheets, serving industries worldwide with excellence. Our commitment to quality, innovation, and sustainability sets us apart as a leading manufacturer and supplier. Whether you need PET sheets for packaging, automotive, electronics, construction, or signage, Lyka Global Plast delivers solutions that meet and exceed your expectations. Explore our range of PET sheets and experience the difference in quality and performance.
#High-quality PET sheets manufacturer for industries#Best PET sheets supplier for global markets#Custom PET sheets manufacturer and exporter#Eco-friendly PET sheets for sustainable packaging#PET sheets for food packaging and safety#Durable PET sheets for automotive applications#Transparent PET sheets for electronics industry#UV-resistant PET sheets for construction projects#Printable PET sheets for signage and advertising#Affordable PET sheets supplier for bulk orders#PET sheets manufacturer for industrial use#PET sheets supplier with global shipping#PET sheets manufacturer with customization options#PET sheets for pharmaceutical packaging#Heat-resistant PET sheets for industrial applications#Lightweight PET sheets for aerospace industry#Impact-resistant PET sheets for automotive parts#PET sheets for greenhouse and agriculture#Recyclable PET sheets for environmental sustainability#PET sheets with FDA approval
0 notes
Text
The Science Behind 3D Printing and Its Innovations
Introduction Alternative term for additive manufacturing: in this process, objects are conceptualized in another manner, changing how the objects are thought of by using 3D printing. One such technology is making creation from prototyping to final products more flexible and efficient. At TechtoIO, we deep dive into the science of 3D printing and the innovations that fuel this groundbreaking technology. Read to continue link
#Science Explained#Tags3D printed houses#3D printed prosthetics#3D printing applications#3D printing benefits#3D printing education#3D printing future#3D printing in automotive#3D printing in fashion#3D printing in healthcare#3D printing materials#3D printing prototyping#3D printing science#3D printing technology#additive manufacturing#aerospace 3D printing#bioprinting#construction 3D printing#custom 3D printing#innovations in 3D printing#Technology#Science#business tech#Adobe cloud#Trends#Nvidia Drive#Analysis#Tech news#Science updates#Digital advancements
1 note
·
View note
Text
Investment Castings for Aircraft Structural Elements A Focus on Unitritech's Excellence
Investment castings, also known as precision castings, play a crucial role in the aerospace industry, particularly in the manufacturing of structural elements for aircraft. These castings are made using a wax pattern that is coated with a refractory ceramic material. Once the ceramic material hardens, the wax is melted away, leaving a precise mold that can produce high-tolerance, intricate components ideal for aerospace applications.
One of the leading manufacturers in this field is Unitritech, renowned for their superior investment castings for structural elements of aircraft. Unitritech utilizes advanced technologies and stringent quality control processes to ensure that each casting meets the rigorous demands of the aerospace industry. Their investment castings are characterized by exceptional strength, lightweight properties, and the ability to withstand extreme temperatures and pressures, making them perfect for critical structural components of aircraft.
Unitritech's commitment to innovation and excellence has positioned them as a top choice for aerospace manufacturers seeking reliable and high-performance structural elements. Their expertise in producing complex geometries and maintaining tight tolerances ensures that every component contributes to the overall safety, efficiency, and performance of the aircraft.
In summary, investment castings are essential for the aerospace industry, and Unitritech stands out as a premier provider of these critical components, ensuring the highest standards of quality and performance in aircraft structural elements.
#High-Precision Investment Castings for Aerospace Applications#Reliable Structural Elements for Aircraft in Investment Castings#Durable and Lightweight Investment Castings for Aerospace#Quality Investment Castings for Aerospace Structural Elements#Precision Casting for Critical Aircraft Components#Ensuring Flight Safety with Precision Investment Castings
0 notes
Text
Beryllium Copper Sheets & Plates Exporters
#Stainless steel#metal fabrication#corrosion-resistant#kitchenware#appliances#construction materials#durable#rust-proof#industrial applications#stainless steel grades#maintenance#cleaning#sustainable materials#architectural design#cookware#utensils#sanitary equipment#marine applications#automotive components#aerospace materials
0 notes
Text
AI Algorithm Improves Predictive Models of Complex Dynamical Systems - Technology Org
New Post has been published on https://thedigitalinsider.com/ai-algorithm-improves-predictive-models-of-complex-dynamical-systems-technology-org/
AI Algorithm Improves Predictive Models of Complex Dynamical Systems - Technology Org
Researchers at the University of Toronto have made a significant step towards enabling reliable predictions of complex dynamical systems when there are many uncertainties in the available data or missing information.
Artificial intelligence – artistic concept. Image credit: geralt via Pixabay, free license
In a recent paper published in Nature, Prasanth B. Nair, a professor at the U of T Institute of Aerospace Studies (UTIAS) in the Faculty of Applied Science & Engineering, and UTIAS PhD candidate Kevin Course introduced a new machine learning algorithm that surmounts the real-world challenge of imperfect knowledge about system dynamics.
The computer-based mathematical modelling approach is used for problem solving and better decision making in complex systems, where many components interact with each other.
The researchers say the work could have numerous applications ranging from predicting the performance of aircraft engines to forecasting changes in global climate or the spread of viruses.
From left to right: Professor Prasanth Nair and PhD student Kevin Course are the authors of a new paper in Nature that introduces a new machine learning algorithm that addresses the challenge of imperfect knowledge about system dynamics. Image credit: University of Toronto
“For the first time, we are able to apply state estimation to problems where we don’t know the governing equations, or the governing equations have a lot of missing terms,” says Course, who is the paper’s first author.
“In contrast to standard techniques, which usually require a state estimate to infer the governing equations and vice-versa, our method learns the missing terms in the mathematical model and a state estimate simultaneously.”
State estimation, also known as data assimilation, refers to the process of combining observational data with computer models to estimate the current state of a system. Traditionally, it requires strong assumptions about the type of uncertainties that exist in a mathematical model.��
“For example, let’s say you have constructed a computer model that predicts the weather and at the same time, you have access to real-time data from weather stations providing actual temperature readings,” says Nair. “Due to the model’s inherent limitations and simplifications – which is often unavoidable when dealing with complex real-world systems – the model predictions may not match the actual observed temperature you are seeing.
“State estimation combines the model’s prediction with the actual observations to provide a corrected or better-calibrated estimate of the current temperature. It effectively assimilates the data into the model to correct its state.”
However, it has been previously difficult to estimate the underlying state of complex dynamical systems in situations where the governing equations are completely or partially unknown. The new algorithm provides a rigorous statistical framework to address this long-standing problem.
“This problem is akin to deciphering the ‘laws’ that a system obeys without having explicit knowledge about them,” says Nair, whose research group is developing algorithms for mathematical modelling of systems and phenomena that are encountered in various areas of engineering and science.
A byproduct of Course and Nair’s algorithm is that it also helps to characterize missing terms or even the entirety of the governing equations, which determine how the values of unknown variables change when one or more of the known variables change.
The main innovation underpinning the work is a reparametrization trick for stochastic variational inference with Markov Gaussian processes that enables an approximate Bayesian approach to solve such problems. This new development allows researchers to deduce the equations that govern the dynamics of complex systems and arrive at a state estimate using indirect and “noisy” measurements.
“Our approach is computationally attractive since it leverages stochastic – that is randomly determined – approximations that can be efficiently computed in parallel and, in addition, it does not rely on computationally expensive forward solvers in training,” says Course.
While Course and Nair approached their research from a theoretical viewpoint, they were able to demonstrate practical impact by applying their algorithm to problems ranging from modelling fluid flow to predicting the motion of black holes.
“Our work is relevant to several branches of sciences, engineering and finance as researchers from these fields often interact with systems where first-principles models are difficult to construct or existing models are insufficient to explain system behaviour,” says Nair.
“We believe this work will open the door for practitioners in these fields to better intuit the systems they study,” adds Course. “Even in situations where high-fidelity mathematical models are available, this work can be used for probabilistic model calibration and to discover missing physics in existing models.
“We have also been able to successfully use our approach to efficiently train neural stochastic differential equations, which is a type of machine learning model that has shown promising performance for time-series datasets.”
While the paper primarily addresses challenges in state estimation and governing equation discovery, the researchers say it provides a general groundwork for robust data-driven techniques in computational science and engineering.
“As an example, our research group is currently using this framework to construct probabilistic reduced-order models of complex systems. We hope to expedite decision-making processes integral to the optimal design, operation and control of real-world systems,” says Nair.
“Additionally, we are also studying how the inference methods stemming from our research may offer deeper statistical insights into stochastic differential equation-based generative models that are now widely used in many artificial intelligence applications.”
Source: University of Toronto
You can offer your link to a page which is relevant to the topic of this post.
#A.I. & Neural Networks news#aerospace#ai#aircraft#algorithm#Algorithms#amp#applications#approach#artificial#Artificial Intelligence#artificial intelligence (AI)#Black holes#challenge#Chemistry & materials science news#Classical physics news#climate#computational science#computer#computer models#course#data#data-driven#datasets#decision making#Design#development#dynamic systems#dynamics#engineering
2 notes
·
View notes
Text
Kind Regards
Can A Light Beam Its Speed 1.16 million km per second Be Found? (Revised)
or
or
or
Abstract
The paper provides 4 hypotheses with their explanations and proves – let's provide them in following
Paper hypotheses
Hypothesis No. (1)
The space is created from one energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space proves the speed is a fact.
Hypothesis No. (2)
The Gravitational Waves Are Produced By The Planets Motions Energies And Not By The Sun Gravitational Field– Moreover- The Sun Does NOT Produce A Gravitational Field And It Has No Massive Gravity-
Hypothesis No. (3)
Mars original orbit was between Mercury and Venus and Pluto was The Mercury Moon (Pluto size was equal Mercury size) But these two planets had migrated from their original orbits as a result for a collision- the planets migration caused a risk for the solar system geometrical design- Uranus and Jupiter the Two planets worked to repair the solar system design– that caused Jupiter orbit to be the main orbit in the solar system design- Jupiter orbit proves the speed 1.16 million km per second is a fact.
Hypothesis No. (4)
The Sun Is a phenomenon created by the planets motions
The sun rays is created from the gravitational waves motions energies and the gravitational waves are produced by the planets motions energies-
Based on that
The Sun Is A Phenomenon Created By The Planets Motions
And
The Sun Is NOT Doing Nuclear Fusion To Produce Its Rays- instead- The Planets Motions Energies Total Is Used To Produce The Sun Rays
The Sun Is Created After All Planets Creation And Motion – means
The Planets Are Created And Moving In Their Orbits Around A Point Of Space Before The Sun Creation- And The Sun Is Created On This Point Of Space around which the planets revolve - And
No Planet moves by The Sun Gravity (Newton is Wrong) - And
The Sun Doesn't Produce A Gravitational Field (Einstein Is Wrong)
And
The Sun Is A Phenomenon Created By The Planets Motions– means-The Sun creation and death depends on a cycle – means – after this current sun death another sun will be created for the solar system.
The Hypotheses Explanation
The abstract provides the hypotheses explanation and the paper provides their proves and discussions- In following the hypotheses will be explained in details
NOTICE - The creatures and all matters on the Earth are created from the sun light energy and the sun light speed is 300000 km/s, because of that, the creature realization is limited to the speed 300000 km/s and can't realize the original speed (1.16 million km per second) that means the speed 300000 km/s is a limit for the creatures realization and not for the universe design.
Notice- this revised version adds only more proves for the paper first hypothesis-
Hypothesis No. (1)
The space is created from an energy and this energy is provided by a light beam moves by a speed 1.16 million km per second – the speed is registered in the created space which proves the speed is a fact
The Hypothesis Explanation
I- The Space Is Created By One Light Beam Energy- And This Light Beam Speed Is 1.16 million km per second
I-1 Preface (the main idea)
I-2 The Space Creation Method (the distances are one network)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
I-4 The Matter definition (based on my planet diameter equation)
I-5 The Planets Creation
I-6 Can The Time Machine Be A Fact?
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time
I-16 Mercury Orbit Analysis
I-1 Preface (The Main Idea)
The solar system (planets and distances) is created from one energy and this energy is provided by one light beam and this light beam moves by speed (1.16 million km/s)
The space is created before the planets creation-
Let's write the whole story in following
The light beam (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto orbit– by that– we consider Mercury orbit is the origin point-
Now- we should notice- No planet is created yet- the motion from Mercury orbit to Pluto orbit defines the motion direction- and No planet is created before this motion end nor during this motion- the planets will be created after this motion is finished means when the light 1.16 million km per second reaches to Pluto (orbit)- after this event – the planets will be created –as I will explain later
Notice
The light (1.16 million km per second) creates the distances by its motion- means- the light moves from Mercury point to Venus point– the distance from Mercury to Venus was not found and is created only by the light motion through it for first time- means – before the light motion this distance was NOT found- It's found after the light moves through this distance for first time-
This is similar to the blood motion through the arteries, the blood creates these arteries and the blood moves through these arteries, but the blood created these arteries with its first motion and that needed energy- but – after the arteries creation the blood move through them without any energy is required- means- the first motion is the most important one because by it the arteries are created
Shortly- The space is created from the energy of this light beam its speed 1.16 million km per second – NOW- after the Space creation- the light beam energy is decreased because of the energy consumption in the space creation process- and the rest energy is one light beam its speed is (C=300000 km/s =the light known speed) – But - We understand that- it's the same one light beam- its speed was 1.16 million km /s before the space creation- and the light created the space and that caused to consume the light energy and that caused to decrease the light speed to be 300000 km/s
Shortly- the light beam started its motion from Mercury (orbit) with speed 1.16 million km /s and reaches to Pluto (orbit) with a speed 300000 km/s because of the energy consumption in the space creation process
Let's give example to explain this idea
Imagine we create A Sea Of Water- we use energy to create this sea of water- now we have some energy and we use this energy to create this sea of water- BUT- our energy is NOT spent completely But there's a small part still rest with us – this small part of energy is used to create one wave moves through this sea and this wave speed is 300000 km/s (I suppose the space is similar to the sea of water)
Now – the rest energy is found in one light beam its speed 300000 km/s and this light beam is found NOW in Pluto Orbit – and this light beam will be reflected from Pluto orbit toward the inner planets– means- the rest energy will move in the reflected direction to the original light motion direction.
This idea will be explained in details in the next point- shortly
The light beam (300000 km/s) will be reflected from Pluto toward the inner planets
AND the light 300000 km/s will meet the original light beam (1.16 million km per second) in the origin point (in fact – beside the origin point) and there's a coherence of light is done between the light beam (300000 km/s) and the light beam (1.16 million km per second) – this coherence of light is proved strongly- we have to ask (how can that be possible while the light beam 1.16 million km /s is consumed and the new light beam 300000 km/s is the rest energy? how this light beam (300000 km/s) can meet the original one (1.16 million km per second)? in points no. (I-3) and no.(I-6) I answer this question.
Notice (1) I suppose the rest energy is a light beam its speed is (C=300000 km/s) but this idea is for simplicity- the rest energy can be in any wave form its speed (C=300000 km/s) – no necessity to be in visible light beam form
It's simply energy moves by the known speed of light (C=300000 km/s)
Notice (2)
All Planets Orbits Are Defined Before Any Planet Creation-
The light used the distance from the sun to Pluto as one area and create one geometrical design for this area before any planet creation
Notice (3)
The planets are created from the rest energy its speed (300000 km/s) – means- the space is created by the light 1.16 million km per second and the energy is consumed in the space creation and the rest energy is one light beam its speed 300000 km/s (or one wave moves by the known speed of light C=300000 km/s) – the solar planets are created from this one wave its speed 300000 km/s and that means all planets orbit are created and defined before any planet creation
Notice (4)
The Sun Is Created After All Planets Creations And Motions
The sun is a phenomenon created by the planets motions energies total
The sun doesn't produce a gravitational field and doesn't have massive gravity
Logically – No planet moves by the sun gravity
(The Planet Moves With The Energy From Which The Planet Is Created – Newton is wrong- later we discuss the proves)
Notice (5)
The child (fetus) inside his mother is created by the blood motion- the blood motion creates arteries for this child and through these arteries the blood moves also but the arteries themselves are created by this same blood motion- Similar to that- the distances are created by the light motion energy and the light moves through these distances also but originally these distances themselves are created by the light motion energy- means the distances creation is done with the first time of the light motion through them - that required energy- but after the distances are created no more energy is required- the light (or planet) can pass simply through these distances
I-2 The Space Creation Method (the distances are one network)
Data
778.6 = 1.16 x 671
721 = 1.16 x 621
629 = 1.16 x 543
543 = 1.16 x 468
5906 = 1.16 x 5127
These numbers are distances in (million km)
778.6, 721, 671, 629, 551 are Jupiter distances to the sun, Mercury, Venus, Earth and Mars respectively- 5906 and 5127 Pluto distances to the sun and Jupiter respectively
468 = 936 /2 where (940 million km = the Earth orbital circumference)
Discussion
(1)
The previous data tells us how the light beam motion creates the distances-
Simply the light uses a distance as (a period of time) and travels through this period another distance- that can be understood clearly from Jupiter distances- let's look deeply as possible
The light beam (1.16 million km per second) uses the period 629 seconds to pass a new distance = 729 million km (Mercury Jupiter distance is 721 million km error 1%) – where 629 million km = Jupiter Earth distance
Also
The light beam (1.16 million km per second) uses the period 671 seconds to pas a new distance =778.6 million km (Jupiter orbital distance)
where 671 million km = Jupiter Venus distance
by this method the light creates the distances based on each other- and that makes all distances to be created depends on one another and that makes all distances in the solar system to be One Network where all distances are created based on the same One Geometrical Design
(2)
The data shows the creation method- and we understand that- the distance 551 million km (Jupiter Mars Distance) is created firstly and the light (1.16 mkm/s) used this distance as a period of time (551 sec) and the light travels during this period a distance =(639 million km where 629 million km is Jupiter Earth distance error 1.5%) and then the light uses the new distance (629 mkm) as a period of time (629 sec) and the light travels during this period a distance = (729 million km – where 721 million km = Mercury Jupiter distance – error 1%)
The data shows the method clearly and we understand the light original motion started from Mercury orbit to Pluto orbit because the distances are created based on one another in that direction of motion as explained clearly
(3)
New data NO. (1)
2723 sec x 2 x 300000 km/s = 1622 million km – where
2723 million km = Uranus Earth Distance
1622 million km = Uranus Neptune Distance
The data shows- the light beam its speed (C=300000 km/s) is in proportionality also with the created distances but this proportionally is found in Reflected Direction
Logically, The light can NOT move from Uranus to Neptune and after that the light returns to move from Uranus to the Earth- it's simply reflected direction
The distances are NOT created by the motion of this light beam (300000 km/s) – but the distances are created by the motion of the original light beam (1.16 million km per second) but the proportionality between the distances with the light (300000 km/s) is found because there's a proportionality between the original one (1.16 million km per second) and this light beam (300000 km/s) – AND
Because the light (300000 km/s) moves in the reflected direction of the original light beam (1.16 million km per second) that causes the proportionality between the distances and the light (300000 km/s) be in a reflected form
New data NO. (2)
2094 sec x 300000 km/s = 629 million km
2094 million km = Uranus Jupiter distance
629 million km = Earth Jupiter distance
The light (300000 km/s) moves in reflected direction- for that- the distance 2094 million km is used as a period of time to pass a new distance (629 mkm)
The data proves the idea clearly
Notice (1)
The proportionality between the light (1.16 million km/s) and the light (300000km/s) will be discussed in point no. (I-3)
Notice (2)
In Point (**) I prove the gravitational waves are produced by the planets motions energies- and I prove that – the planets motions energies move toward Pluto and this energy is reflected from Pluto toward Venus- this fact is proved by powerful data and proves- for that – I don't explain in details the light motion trajectory from Pluto toward the inner planets because this motion trajectory is studied in details in the hypothesis No. (2) of this discussion- understandable that- the planets motions energy trajectory is the same trajectory the light moves through it – means this trajectory is studied in details and powerful proves in point no. (**)
Notice (3)
Jupiter Distances Analysis shows that Jupiter orbit is the central orbit for the light (1.16 million km per second) based on which all planets orbits are defined.
But – this is not the first creation case –
The light (1.16 million km per second) created the planets orbits based on each other starting from Mercury orbit moves toward Pluto orbit – this is the fist creation case – and this fact is proved strongly in point no. (I-9*)
BUT
Mars had migrated from its original orbit (Mars original orbit was between Mercury and Venus) and Pluto had migrated also (Pluto Was The Mercury Moon revolves around Mercury and Pluto size was equal Mercury size)
The planets migration caused a serious risk for the solar system geometrical design- Uranus was the first planet tried to repair the solar system geometrical design and to save it- by that
Uranus created a vertical effect on Jupiter orbit to fix Jupiter in its orbit and prevent it to migrate with the migrant planets- and based on Jupiter orbit the other planets orbits are modified – that supported the solar system original design and saved it which causes to protect the geometrical design from the destruction.
As a result
That causes Jupiter orbit to be the most important orbit in the solar system- the paper third hypothesis explains the planets migration and Jupiter orbit analysis is done with the solar system design analysis (I-11*)
I-3 Light Coherence between light (1.16 million km /s) and light (300000 km/s)
(1)
The Coherence Of Light
The previous explanation told us that we have 2 light beams-
The original light beam its speed (1.16 million km per second) and it started its motion from Mercury orbit to Pluto orbit (where Mercury orbit is the light motion origin point) – and this light beam created all distances in the solar system and lost its energy in the space creation process and the rest energy is one light beam its speed is (C=300000 km/s)
The other light beam is the rest energy- its speed is (C=300000 km/s) and it moves in a reflected direction from Pluto toward Venus and Mercury-
Now – we have a coherence of light between these two light beams- the coherence is proved by powerful proves BUT firstly we have to ask (how can this coherence be occurred)? Because the original light (1.16 million km/s) is consumed and its energy is used already and the rest energy is this light its speed is (300000 km/s) - HOW can the light (1.16 million km/s) meet the light (300000 km/s)??
Imagine we have (116 dollars) and we spent all money except (30 dollars)- how can this (30 dollars) meet the original money (116 dollars)??
Let's write the answer
Suppose the light beam (300000 km/s) moves in the reflected direction (in the space) and also (in the time) – that can enable the light (300000 km/s) to meet the original one (1.16 million km/s) in the past and the coherence will be done there in the past- and we see the coherence results and effects on the solar system -
Means – the light (300000 km/s) moves into the past and found the original light (1.16 million km/s) in the past
Notice No. (1)
The original light beam (1.16 million km/s) can NOT move toward the future to meet the light (300000 km/s) because in the future the original light beam (1.16 million km/s) is NOT found –by that – the coherence can't be occurred in the future - But – the light (300000 km/s) can move into the past because this light beam (300000 km/s) was found in the past because it's a part of the original light beam (1.16 million km/s)
Notice no. (2)
I prove the coherence is done by powerful proves- that tells- this idea is a fact–means- there's a strong proof tells (in fact the light beam 300000 km/s moved into the past) and if we can use this feature practically we can get photos from the past events and by that we can have photos from the catastrophe which killed the dinosaurs and know much better about what had happened really in that time - This can be a real machine of time – the light motion into the past is a strong method to perform this invention.
Notice no. (3)
Why Can NOT We Move Into The Past As We Move Into The Future?
This question is answered in point no. (**)
(2)
The Light Coherence Proves
First Proof
The planets order is typical to the interference of Young –
In the double slits experiment, Young Interference is consisted of bright fringes and dark fringes - If we consider planet diameter is equivalent to bright fringe – we will see that- the planets order is typically to Young interference because
Jupiter (the greatest fringe) is in the middle and the fringes width is decreased gradually on both sides – typically to the planets order
Notice / I have proved that (Mars original orbit was between Mercury and Venus) if we restore Mars to its original orbit the order will be typical to the Young Interference
(I prove this fact in point no. **)
Second Proof
The planets velocities are defined based on the speed (1.16 million km per second) and the planets velocities analysis shows the speed (300000 km/s) is the planets motions limit- means- the planets velocities are defined based on both velocities (1.16 million km per second) and (300000 km/s) I prove this fact in point No. (**)
Third Proof
The light coherence defines the solar day period (24 hours) which is the solar system design cornerstone
(1.16 /0.3) x 2π = 24.3
By this equation the space and time are created- the equation tells–the space is created in curves (2π) and the time is created in units each unit is (24 hours)
Please note – the solar system geometrical design depends on the light motion in a solar day (24 hours = 86400 seconds)
The light (1.16 million km per second) moves in a solar day (86400 seconds) a distance = 100733 million km (= the planets orbital circumferences total)
Fourth Proof
The planets data prove there's a speed (1.16 million km per second) found in the solar system but the sun light beam moves by speed (300000 km/s) that tells the two speeds are facts and found in the solar system and the coherence between them is a logical result
The hypothesis proves discuss many powerful proves for this fact-
Notice- the coherence of light is a very important fact because it tells the light (300000 km/s) moved into the past and by that gives us a proof for the motion on the time axis- for that – many powerful proves support this fact.
I-4 The Matter definition (Based On My Planet Diameter Equation)
(1)
Let's remember my planet diameter equation
Planet Diameter Equation (v1/v2)= (s/r)= I
v = Planet Velocity
r = Planet Diameter
s= Planet Rotation Periods Number In Its Orbital Period
I= Planet Orbital Inclination (example, 1.8 degrees be produced as a rate 1.8)
v2, s, r and I are belonged to one planet and v1 is belonged to another planet
The planet (v1) is defined by test the minimum error
Earth Equation uses Neptune velocity
Mars Equation uses Pluto velocity
Jupiter Equation uses the Earth moon velocity
Saturn Equation uses Mars velocity
Uranus Equation uses Neptune velocity (As Earth)
Neptune Equation uses Saturn velocity
Pluto Equation uses the Earth moon velocity (As Jupiter)
(The Equation works from The Earth To Pluto) (the discussion explains the reason)
Example
Neptune Equation (89143 /49528) = 9.7/ 5.4 =1.8
89143 = Neptune rotation periods number in Neptune orbital period
49528 km = Neptune diameter
9.7 km/s = Saturn velocity
5.4 km/s = Neptune velocity
59800 days = Neptune orbital period (and Neptune rotation period =16.1 hours)
1.8 degrees = Neptune Orbital Inclination
(the equation is proved and discussed in details in point no. **)
(2)
Can We Define The Matter Nature Based On My Planet Diameter Equation?
The equation tells, the matter is created based on its motion! means Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s!!
That tells the motion with velocity 5.4 km/s is defined before Neptune diameter is created! Can we understand such definition for the matter nature? let's try
(A)
The Matter Nature
The space and matter are created from the same original energy and they move with this original energy motion- BUT the matter has a distinguish picture and different velocity from the space picture and velocity (notice- The Gravitational Waves Prove That The Space Has A Motion)
If we suppose the space is similar to the sea of water, the matter be similar to a whirlpool or a vortex found on the sea page- means- the matter is a geometrical design has a distinguish picture from the space- as the whirlpool, it's created from the sea water but it has a distinguish picture from the sea waves picture
Means
The whirlpool is carried by the waves motion- and- the matter is carried by its original energy and moves with it- No Mass gravity is required for the matter motion- means- the matter is MOVABLE by nature.
Also
The whirlpool dimensions are defined by the water motion - for example- we have a whirlpool its diameter is (2 meters)- this diameter is defined by the sea water motion features (velocity, pressure and other motion features) by that- the water motion analysis explains how the whirlpool dimensions are created
Also- the whirlpool is created but the creation requirements are needed every day- means- even if this whirlpool is found since years it can be changed immediately if the water motion features are changed- means- the whirlpool creation process is NOT a historical one.
Also- the matter is similar to a creature muscle, the muscle is found based on the blood motion and without this motion the muscle can be changed or removed.
Shortly
The Original Energy Was Found In Motion By Itself (As Moving Light Beam)
From This Moving Energy The Planet Matter Is Created
The Created matter dimensions are defined by the features of this original energy motion (means the planet creation data is defined by the energy motion features)
After the planet creation- The Planet Moves With This Original Energy – means- the created planet moves a motion depending on the motion of this original energy because the planet moves with this original energy motion- and – the planet moves by this original energy motion (No mass gravity is required to cause the matter motion)
The planet creation data is in full harmony with its motion features- this fact is produced logically because the planet data is defined by the original energy motion features.
This explanation tells (Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s)
Example For Explanation
We agreed that the space is similar to the sea of water and the planet (matter) is similar to a whirlpool found on the sea page- this picture explains the idea clearly- because
We see the whirlpool doesn't move by the sea water waves velocity but by another velocity and that shows a distinguish in form and motion between the whirlpool (the planet) and the sea waves (the space)- BUT- the whirlpool dimensions are defined based on the sea water motion features- and if the motion features are changed the whirlpool dimensions will be changed also- also the whirlpool moves by the sea water motion even with a different velocity relative to the sea waves velocity but the whirlpool motion still is caused by the sea water motion- based on this picture we can say (because the water motion velocity is 80 km/h that causes this whirlpool diameter to be 2 meters "for example') – this is perfectly our sentence – let's remember it
(because Neptune velocity is 5.4 km/s that causes Neptune diameter to be 49528 km)
This idea is proved by my planet diameter equation (my fourth equation) (point No.**)
(B)
Now The velocity is a motion in (A Defined Direction)
Means– the matter is created because it depends on a motion in a defined direction- as we have seen- Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s but this velocity is a motion in defined direction- and that tells Neptune creation depends on a motion in the direction of the (x axis positive "+x ") (for example)
That tells, if this motion moves in (x axis negative "-x ") that will cause Neptune diameter to be changed or perished
Means- the matter creation needs a motion in A Defined Direction
Now let's ask our question
Why Can't The matter (creature) Moves Toward Its Past?
Because the matter depends on a motion in one defined direction- that causes the matter moves into (the future) always and can't move into (the past) let's discuss this question more deeply in point no (I-6)
Notice
No Planet Moves By The Sun Gravity (Newton is wrong) – logically because- the planet moves by its creation force- means- the planet creation and motion should be done by one force only (one energy only) because if two forces have effects on the same one planet- this planet will be broken- this fact is proved strongly with the gravitational waves source discussion (Point no.**)
I-5 The Planets Creation
I summarize the main idea in following and the idea proves and discussions are found in point no. (**)
(i)
We know, the solar system is created from energy of one light beam its speed is 1.16 million km per second- and – the light created the space (the planets orbits) firstly and the energy is consumed in the space creation- and for that- the rest energy is found in one light beam its speed is 300000 km/s - And
From this light beam 300000 km/s the solar planets are created
Shortly
before the solar planets creation
The solar system was one light beam (or one wave moves by speed of light (300000 km/s)- by that – the solar system is One Wave moves by speed of light (300000 km/s)
Now
The Solar System needs To Create A Stationary Point Its velocity Zero relative to the moving one wave (300000 km/s)
This is the basic information in the solar system design-
The solar system needs to create a stationary point relative to the wave motion- by that – two velocities will be found which are (v1= the wave its speed 300000 km/s) and (v2= Zero= the stationary point velocity relative to the wave motion)–these two velocities produce a relative motion with different velocity 300000 km/s– this relative motion is the solar system design cornerstone.
Shortly – the solar system needs to create A Stationary Point
Notice– The solar system is carried by the light beam motion, NO stationary point can be found here – it's similar to a ship on the sea water- Nothing can stop- because the motion is done forcedly by the sea water –
The stationary point will be similar to the whirlpool (vortex) on the sea page- BUT
The solar system needs to create this stationary point - Now – let's try to create this stationary point in following - The solar system uses two procedures to do that,
(ii)
The first procedure
The wave its velocity 300000 km/s revolves around a point in space (any point in space), the revolution motion creates 2 equal velocities on both sides of the revolution- the two velocities are equal in value and opposite in direction- their total be equal Zero-means- the revolution motion creates A Stationary Point in the center of the revolution.
The second procedure
The previous idea is correct- but –the velocity 300000 km/s is a huge one and to decrease it to Zero velocity this is a complex process– for that- the wave (300000 km/s) created small waves with low velocities to use them as steps to decrease the velocity to Zero- the small waves are The Planets- (The planet is a small wave moves by low velocity relative to the original wave its velocity 300000 km/s)
Why Are These Small Waves Required?
Because the velocity 300000 km/s is decreased to Zero by using these small waves and their low velocities- the low velocities are used as steps to decrease the unified wave velocity (300000 km/s) to be (Zero)- this process decreases the velocity gradually from 300000 km/s to Zero depending on these small waves velocities (the planets velocities)
Means- the planets are created for this process to decrease the wave velocity from 300000 km/s to Zero- and The Planet Is A Small Wave Moves By Low Velocity
Shortly – the solar system has one complete system of velocities, Starting from Zero to 300000 km/s where the planets velocities are the steps between the two velocities – let's prove that here
(iii)
300000 km = 7.1 x (205.8)^2 where
7.1 is Lorentz length contraction effect for speed 297000 km/s (99% of speed of light)
205.8 km/s = the 9 planets velocities total (176 km/s) + the Earth moon velocity
(The moon velocity =29.8 km/s = the Earth velocity because they revolve together)
Why does the data use the squared value (205.8)^2?
We know the answer- but - Let's remember it
The planets are geometrical points on the same light beam and move with its motion- for that- the planets velocities rates creates rates of time– for example- Mercury velocity = 1.6 the Earth velocity- that means – one hour of Mercury clock = 1.6 hours of the Earth clock- Why??
Because Mercury and the Earth are carried by the same one light beam- the light moves one motion and passes one distance in one period of time- by that Mercury and the Earth have to move this same motion and to pass this same distance in this same period of time- but the two planets velocities are different- for that- the planets use different rates of time based on their velocities rates and by that the planets move equal distances in the same period of time –
Now- the velocity (205.8 km/s) moves relative to the stationary point (Zero) and creates a rate of time (1 second = 205.8 seconds) –
(one second of the unified wave clock = 205.8 seconds of the stationary point clock)
But – the energy is reflected in the solar system (I prove that in point no.**),
The energy reflection reflects the players – means
(one second of the stationary point clock = 205.8 seconds of the unified wave clock)
The stationary point will be THE SUN – by that
(one second of the sun clock = 205.8 seconds of the unified wave clock) – means
(one second of the sun clock = 205.8 seconds of any planet clock) –
Now during one second of the sun clock, the wave clock needs 205.8 seconds while the wave moves by a velocity 205.8 km/s- means –
During one second of the sun clock, the wave moves 42253 km = 300000 km /7.1
That creates the different velocity 300000 km/s between the sun motion and the wave motion-
Notice 1
The wave (205.8 km/s) moves during 1461 seconds a distance = 300000 km, and we know the Earth cycle (1461 days = 365 +365 +365 +366)
That tells, the speed of light (300000 km/s) is performed by the rate of time and that causes to create the Earth cycle-
Notice 2
Planet velocity is created by the rate of time- means- if no rate of time can be used – No planet velocity can be created – instead- all motions will be only by speed of light (300000 km/s)- the planet can create a small velocity because it can use rate of time
We realize that clearly because
The planets motions depend on the light motion- by that – the motion is done by One Motor only which moves by speed of light (300000 km/s), the planets can only move by speed of light or create a rate of time for their smaller velocities - No more options are provided.
Notice 3
We understand that, the planets are geometrical points on the same light beam, means
The planets are similar to carriages in one train and the light motion is the train engine means the planets are carried on the light beam and move with this light motion
I-6 Can The Time Machine Be A Fact?
To answer this question we need to review basics facts we have studied – let's do that in following
(1)
The solar system is created from one energy and this energy is provided by one light beam
(2)
The light moves simply and freely in any direction (for space) and (for time)- means- the light can move into the future (as matter does) or into the past (which the matter can Not do)
(3)
We know, the solar system is created from one light beam, and this light moves by a speed (1.16 million km per second) - And
We know, the light (1.16 million km per second) created the planets orbits firstly before any planet creation and the energy is consumed in the space creation and because of the energy consumption the light speed is decreased from (1.16 million km per second) to the known speed of light 300000 km/s – also
We know, the light (1.16 million km per second) started its motion from Mercury orbit moves toward Pluto- that means- the light (1.16 million km per second) started from Mercury orbit with speed (1.16 million km per second) and the light created all planets orbits till Pluto orbit- before any planet creation- and by that- the light lost its energy and the light beam in Pluto orbit reduced its speed to be 300000 km/s as a result for the energy consumption in the space creation process
(4)
Also we know the energy is reflected from Pluto toward Venus (the inner planets)
By that the light beam (300000 km/s) moves in the reflected direction to the original light beam (its speed 1.16 million km per second)
And – we know-
The light beam (300000 km/s) reaches to the original point (Mercury Orbit) from which the light (1.16 million km per second) started its motion
And we know that
A coherence of light is done between the original light beam (1.16 million km per second) and the light beam (300000 km/s)
BUT we don't know how such coherence can be occurred? Let's analyze that deeply in following
(5)
The produced light beam (300000 km/s) moves in (the reflected direction) to the direction of the original light beam (1.16 million km per second) (In Space) and reaches to Mercury orbit (the origin point)
But– logically – the produced light beam (300000 km/s) can NOT find the original light beam (1.16 million km per second) there because the original light beam is consumed already in the space creation process and the rest energy is this produced light beam (300000 km/s) – based on that –
How Can This Coherence Be Occurred? Means-
How can the produced light beam (300000 km/s) meet the original light beam (1.16 million km per second)? The answer is
The produced light beam (300000 km/s) moves (in the reflected direction) to the motion direction of the original light beam (1.16 million km per second) (In Space) and (In Time) Means- the produced light beam moves into (Its Own Past) and in the past this produced light beam (300000 km/s) was (A Part of the original light beam 1.16 million km per second) and because of that the produced light beam (300000 km/s) can meet the original light beam (1.16 million km per second),
And
The two light beams create a coherence (in the past) and we see the results of this coherence in our present time-
The idea is very important because – the coherence of the two light beams (1.16 mkm/s and 0.3 mkm/s) is proved strongly and with powerful proves and any explanation for this coherence will prove that the produced light beam (300000 km/s) must move Into The Past to enable this coherence occurrence- and that tells clearly- the travel through the time is possible and fact
BUT
Can the matter moves into its past as the light does? NO
Why?? Because
We know the light can move simply in any direction (+ x, + y, + z, + t) by that the light can move into the future and can move into the past BUT
The matter creation depends on A Motion In A Defined Direction-
let's remember this idea
Neptune diameter =49528 km because Neptune velocity is 5.4 km/s
(This Fact Is Proved By My Planet Diameter Equation)
Now, Neptune velocity is a motion in a defined direction
(for example a motion in +x direction)
The energy moves in this direction (+x direction) and because of this motion Neptune matter is created and Neptune diameter is defined- now if the energy moves in (opposite direction "–x direction") that will change Neptune diameter or cause to perish its matter at all
Means- as long as – Neptune is found- that means – the energy moves in one direction (and not two directions) – for that Neptune can move into the future but can NOT move into the past.
Notice
The matter can not move into the past but the light can do that-
Means- we have the time machine already- we need to know how to send the light into the past and by that we can have photos from the past events- and this will be The Time Machine
The Hypothesis Proves
I-7 The Proves Logic Analysis
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s)
I-11 The Solar System Geometrical Design Proves The Hypothesis
I-12 The Solar System Distances Analysis Prove The Hypothesis
I-13 Deep Analysis For The Planets Orbits
1-14 Light defines each planet orbital period
I-15 Can Planet Diameter Be Used As A Period Of Time?
I-16 Mercury Orbit Analysis
I-7 The Proves Logic Analysis
Why can we prove that, a light beam its speed 1.16 million km per second is found in the solar system? also, the theory tells this light beam energy is consumed and the rest energy is found in one light beam its speed 300000 km/s (the known speed of light), if this light energy is consumed, how can we prove its existence?
There are two major reasons, which are
The Planets Orbits Are Created Before Any Planet Creation- And These Orbits Are Created Based On One Motion- And This One Motion Is Done By A Speed 1.16 Million Km Per Second.
The Planets Matters Are Created Based On Their Orbits – means- the planet is similar to a tree and the orbit is similar to a ground and the tree is planted in the ground-
NOTICE
after the planet creation, the planet can migrate from its original orbit to any other orbit - as Mars and Pluto did and that will not cause to destroy the planet.
Shortly-
the planet matter and data is created based on this planet orbit- the orbit is defined before any planet creation and based on the orbit the planet matter and data is created (we remember- the space is similar to the sea of water and the planet matter is similar to a whirlpool found on this sea page- that tells the whirlpool is created based on its place in the sea of water)
Shortly- The Planet Matter Is Created Depends On This Planet Orbit
The speed 1.16 million km per second is registered in the planets orbits because the orbits are created from the energy of the light beam (1.16 million km per second), and the planet matter is created from this planet orbit (energy)
Shortly
The light beam (1.16 million km per second) is the source of energy for (everything) in the solar system-
All orbits are defined by its energy, all matters are created by its energy, and all motions are done by its motion-
Can we prove this light beam is a fact? YES we can
The analysis for any data or any motion will discover this light beam because it's the source of energy for everything
Shortly
the light beam (1.16 million km per second) is The Source Energy of the solar system
The mother of all children can be discovered by analysis these children data
A QUESTION
Can the solar system design uses a rate 1.16 and I can't understand that but wrongly consider this rate (1.16) as a speed of light 1.16 million km per second?
NO- this can't be possible – Because
The light beam (1.16 million km per second) behaves typically to the known light beam (300000 km/s) – as we will see in the data discussion
I-8 Planet Velocity Is A Function In A Speed = (1.16 million km /s)
DATA
My 5th equation (v1v2=322)- the planets velocities prove it–let's see that in following
322 = 47.4 km/s (Mercury velocities) x 6.8 km/s (Uranus velocities)
322 = 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2
322 = 29.8 km/s (the Earth velocity) x 5.4 km/s (Neptune velocities) x 2
322 = 24.1 km/s (Mars velocity) x 13.1 km/s (Jupiter velocity)
322 = (17.9 km/s)^2 (Ceres velocity) (Max error 2%)
DATA ANALYSIS
The previous data tells the planets velocities are defined by three features
(1st Feature)
The planets velocities are complementary one another –means - each planet velocity is complementary with another planet velocity– means– The planets velocities are defined in pairs and not in single planets.
(Notice, the inner planets orbital inclinations are defined by the rule (v1/v2), for example, Mercury orbital inclination 7 deg = Mercury velocity 47.4/ Uranus velocity 6.8 that proves the effect of the rule (v1v2=322) on the planet motion)
Ceres velocity tells the idea - Ceres is used as the main point - as a result the outer planets be complementary with the inner planets – for that the rule (v1v2=322) controls the planets velocities- that means- The planets velocities are created based on One Design- Ceres velocity is used as the main point for this design
(2nd Feature)
Why the constant is 322? because 1160000 seconds = 322 hours – means- there's speed of light = 1.16 million km /s - Shortly
Mercury (47.4 km/s) moves during 6.8 hours a distance = 1160000 km
Uranus (6.8 km/s) moves during 47.4 hours a distance = 1160000 km And
Venus (35 km/s) moves during 2 x 4.7 hours a distance = 1160000 km
Pluto (4.7 km/s) moves during 2 x 35 hours a distance = 1160000 km
Earth (29.8 km/s) moves during 2 x 5.4 hours a distance = 1160000 km
Neptune (5.4 km/s) moves during 2 x 29.8 hours a distance = 1160000 km And
Mars (24.1 km/s) moves during 13.1 hours a distance = 1160000 km
Jupiter (13.1 km/s) moves during 24.1 hours a distance = 1160000 km And
(Notice - Saturn (9.7 km/s) moves during 33.2 hours a distance = 1160000 km - (between 33.2 and Venus velocity 35 km/s the error 5%)) (Data Max error 2%)
The Data Proves, The Planets Velocities Are Functions In The Speed 1.16 Million Km Per Second. That proves the speed (1.16 million km per second) is A Fact
(notice the planets velocities are complementary one another also based on the known speed of light 300000 km/s, the paper provides this data)
(3rd Feature)
The planets velocities limit depend on the known speed of light 300000 km/s
Let's explain that in following
The 9 planets velocities total is 176 km/s (I add the Earth moon velocity 29.8 km/s)
The 10 planets velocities total is 205.8 km/s
300000 km = 7.1 x (205.8)^2
The speed 297000 km/s (99% speed of light) causes Lorentz length contraction effect with the rate 7.1
The velocity (205.8 km/s) moves during 205.8 seconds a distance 42253 km
Where 300000 = 7.1 x 42253 km BUT 42253 = (205.8)^2
The squared value (205.8)^2 is found because of the used rate of time
We have studied this equation in point (I-5**) -the data shows, the planets velocities are defined as parts of a complete system of velocities starts from (Zero = stationary point) and reaches to the speed of light 300000 km/s and between these two values the planets velocities are defined to support this same system- that tells- the planets velocities are defined with limit to the speed of light (300000 km/s) - The data proves the speed (1.16 million km per second) is a fact -and also the data proves the coherence is done between the light (1.16 million km per second) and the light (300000 km/s)
I-9 Planets Orbits Are Defined By A Motion Its Speed = (1.16 million km /s)
(1) Mercury Motion
During 310s light its speed (1.16 million km per second) travels 360 million km
During 310 s light known speed (300000 km/s) travels 93.1 million km
BUT
93.1 million km x 2π = 586 million (this value will be used by Venus as a period)
Where 360 million km = Mercury Orbital Circumference
(2) Venus Motion
During 586s light its speed (1.16 million km per second) travels 680 million km
During 586s light known speed (300000 km/s) travels 175.8 million km
BUT
175.8 million km x 2π = 1104 million (this value should be used by Earth as a period)
680 million km = Venus Orbital Circumference
(3) Earth Motion
During 810s light its speed (1.16 million km per second) travels 940 million km
During 810s light known speed (300000 km/s) travels 243 million km
243 million km x 2π = 1526 million (this value should be used by Jupiter as a period)
Where 940 million km = Earth Orbital Circumference
BUT
During 940s light its (1.16 million km per second) travels 1104 million km (error 1%)
That shows the direction reflection between the Earth and Venus because of the reflection of energy- I proved that in point no. (**)
Notice –
Jupiter is the next planet after the Earth based on the light motion design for that the Earth value (1526 million km) should be used by Jupiter because Mars is a migrant planet and Mars original orbit was between Mercury and Venus and the next planet for the Earth was Jupiter- the confusion in data is made by Mars migration effect
(More explanation is provided in the comment on the data)
(4) Mars Motion
(Mars Is Exceptional)
During 1235s light its speed (1.16 million km per second) travels 1433 million km
During 1235s light known speed (300000 km/s) travels 371 million km = 2π x 59 mkm Where 1433 mkm = Mars Orbital Circumference
(5) Jupiter Motion
During 4224s light its speed (1.16 million km per second) travels 4900 million km
During 4224s light known speed (300000 km/s) travels 1267 million km –
4900 mkm =Jupiter Orbital Circumference
1267 million km x 2π = 7960 million km (this value be used by Saturn as a period)
Notice
Mars is a migrant planet for that – the Earth value isn't used for Mars orbit- but it's used for Jupiter orbit- and because of the reflection between Venus and the Earth- the Earth produces the value directly (1526 million km) without using the light speed (1.16 million km per second) where
1526 million km = Jupiter Orbital Distance 778.6 million km x 2 (error 2%)
Notice
During 4224s light its speed (1.16 million km per second) travels 4900 million km
4900 million km = Jupiter orbital circumference while 4222.6 hours = Mercury day period- if (one hour of Mercury = One second of light clock) that will connect Jupiter with Mercury strongly- this is a fact because- the solar system depends on Mercury clock in its motion and the planets orbits are defined based on Jupiter orbit after the planets migration- that makes Mercury and Jupiter the two heads of the solar system unified motion.
(6) Saturn Motion
During 7960s light its speed (1.16 million km per second) travels 9007 million km
During 7960s light known speed (300000 km/s) travels 2388 million km
9007 mkm = Saturn Orbital Circumference
2388 million km x 2π =15004 million km (this value be used by Uranus as a period)
(7) Uranus Motion
During 15559s light its speed (1.16 million km per second) travels 18048 million km
During 15559s light known speed (300000 km/s) travels 4668 million km
18048 mkm = Uranus Orbital Circumference
4664 million km x 2π =29305 million km (this value be used by Pluto as a period)
Notice
The transported value from Saturn is 15004 but the used value is 15559 (error 3.5%)
(8) Neptune Motion
(Neptune is exceptional)
During 24348s light its speed (1.16 million km per second) travels 28244 million km
During 24348s light known speed (300000 km/s) travels 7305 million km
28244 mkm = Neptune Orbital Circumference
(9) Pluto Motion
During 31983s light its speed (1.16 million km per second) travels 37100 million km
During 31983s light known speed (300000 km/s) travels 9595 million km
37100 mkm = Pluto Orbital Circumference
(10) The Earth Moon Motion
During 639s light its speed (1.16 million km per second) travels 724 million km
During 639s light known speed (300000 km/s) travels 191.6 million km = 2π x 30.5 mkm – BUT
30.5 mkm = 88000 km x 346.6 days
The moon displacements total during 346.6 (solar days) = 30.5 mkm
346.6 solar days= The nodal year and 88000 km = The moon displacement daily
742 mkm = The distance is passed by Uranus in 30589 hours - The data tells, the moon orbit regression be done by effect of Uranus motion.
THE COMMENTS ON DATA
(1)
We should note that, the data follows the rule perfectly- as we see in Mercury and Saturn data – the confusion in data is found by the planets migration – let's prove that
680 mkm (Venus Orbital Circumference) x (1.16 mkm/s) ^2 = 940 mkm
28244 mkm (Neptune Orbital Circumference) x (1.16 mkm/s) ^2 = 37100 mkm
(Max error 2.5 %)
940 mkm = Earth Orbital Circumference
37100 mkm = Pluto Orbital Circumference
Clearly the confusion of data is done for the Earth and Jupiter (Mars migration effect) and for Pluto and Neptune and Uranus (Pluto migration effect)
Shortly
The light (1.16 million km per second) created the solar system distances based on one another as the chess board distances- perfectly the light created the distances based on one geometrical design and as one network- But – The planets migration caused confusion for the data- by that the planets orbits data is confused and no longer be seen as designed by the light motion- specially because the solar system design repair needed to make Jupiter orbit as the central orbit based on which all planets orbits are modified- by that– the discovery for the light motion effect on the solar system distances creation needed deep analysis in data to remove the confusion.
Notice
The Earth data produced the value (1526 mkm) and this distance is used by Jupiter as a distance (1526 mkm = 2 x 778.6 mkm Jupiter Orbital Distance) (error 2%)
And
Uranus data produced the value (29305 mkm) and this distance is used by Neptune as a distance (29305 mkm= 28244 mkm= Neptune Orbital Circumference) (error 4%)
The behaviors are typical tell that by the same effect the modifications of both planets data are done-
Notice
680 sec x 1.16 million km /sec = 789 mkm (Jupiter orbital distance 778.6 mkm error 1.3%) – the data shows – Jupiter is the mentioned planet after the Earth because Mars original orbit was between Mercury and Venus by that the light motion moved from the Earth to Jupiter directly- Mars is not seen in this motion-
(2)
The inner planets distances ( 93.1, 175.8, 243, 370.6) can be used as cycles periods
175.8 solar days =Mercury day period
243 solar days = Venus rotation period
370.6 solar days are near to 365.25 days (error 1.5%),
(93.1 days x 2π= 584 days =the period of periodical meeting of Earth and Venus)
This equality depends on the rate 1mkm = 1 day
That tells each planet creates its PREVIOUS NEIGHBOR CYCLE PERIOD
And the outer planets distances in blue color (1267, 2330 , 4664, 7305, 9595)
2330 = 2 x 1165 = 2π x 371
4664 = 4 x 1165 = 4π x 371
7305 = 2π x 1165 =2π2 x 371
9595 = 8 x 1165 = 8 π x 371 (error 3%)
This data cornerstone is the number (371), (the Earth year 365.25 days)
The data refers to the Earth year because of the Earth effect on the sun creation
NOTICE
The data proves each planet orbit is defined based on its neighbor – my first equation (Planet orbital distance equation) proves this fact –
In following I put my planet orbital distance equation for revision
Planet Orbital Distance Equation
(My First Equation) (d)2 = 4 x d0 x (d- d0)
d = A Planet Orbital Distance
d0= Its Direct Previous Neighbor Planet Orbital Distance
The equation depends on the planets order, for that , just 2 neighbor planets can be used in this equation, means if (d is Venus distance, d0 be Mercury distance)
The equation exceptions are,
Earth depends on Mercury Not Venus – and Mars depends on Venus Not Earth And Pluto depends on Uranus Not Neptune
Note, we don't use the forma (d=2d0) instead we use the forma (d2 = 4d0 (d-d0)) because it uses the distance between the 2 planets and that decreases the errors
Let's test the equation
(1) Venus Motion
(108.2)2 = 4 x 57.9 x (50.3)
d= 108.2 million km = Venus Orbital Distance
d0= 57.9 million km = Mercury Orbital Distance
50.3 million km = The Distance Between Venus And Mercury
Venus Depends On Mercury
(2) Earth Motion
(149.6)2 = 4 x 57.9 x (149.6-57.9) (error 2.8%)
d= 149.6 million km = Earth Orbital Distance
d0= 57.9 million km = Mercury Orbital Distance
Earth depends on Mercury and doesn't on Venus
(3) Mars Motion
(227.9)2 = 4 x 108.2 x (227.9-108.2)
d= 227.9 million km = Mars Orbital Distance
d0= 108.2 million km = Venus Orbital Distance
Mars depends on Venus and doesn't on Earth
(4) Ceres Motion
(415)2 = 4 x 227.9 x (415-227.9)
d= 415 million km = Ceres Orbital Distance
d0= 227.9 million km = Mars Orbital Distance
Ceres depends on Mars
(5) Jupiter Motion
(778.6)2 = 4 x 415 x (778.6- 415)
d= 778.6 million km = Jupiter Orbital Distance
d0= 415 million km = Ceres Orbital Distance
Jupiter depends on Ceres
(6) Saturn Motion
(1433.5)2 = 4 x 778.6 x (1433.5- 778.6)
d = 1433.5 million km = Saturn Orbital Distance
d0 = 778.6 million km = Jupiter Orbital Distance
Saturn depends on Jupiter
(7) Uranus Motion
(2872.5)2 = 4 x 1433.5 x (2872.5- 1433.5)
d= 2872.5 million km = Uranus Orbital Distance
d0 = 1433.5 million km = Saturn Orbital Distance Uranus depends on Saturn
(8) Neptune Motion (error 4%)
(4495.1)2 = 4 x 2872.5 x (4495.1- 2872.5)
d= 4495.1 million km = Neptune Orbital Distance
d0 = 2872.5 million km = Uranus Orbital Distance Neptune depends on Uranus
(9) Pluto Motion
(5906)2 = 4 x 2872.5 x (5906- 2872.5)
d= 5906 mkm = Pluto Orbital Distance
d0 = 4495.1mkm = Neptune Orbital Distance Pluto depends on Uranus
Notice the error is less 1% for all planets except (Earth 2.8%) and Neptune (4%)
The Equation Discussion
(a)
The Equation tells each planet orbital distance depends on its previous neighbor planet orbital distance – but – there are 3 exceptions which are –
Earth depends on Mercury not Venus –
Mars depends on Venus not Earth–
Pluto depends on Uranus not Neptune–
(b)
The equation shows – the distance from the sun to Pluto be distributed based on one geometrical design – means – the distances be created together as one group in one a network form – the distances be similar to the chess board distances- they are distributed geometrically and in one network based on one design -
Shortly
No Single Distance be Created independently or individually – We deal with one network of distances -
Means
By Using Mercury Orbital Distance (57.9 million km) (one data) We Can Conclude All Planets Orbital Distances (9 Data) By Using Mathematical Calculations Only
(c)
Kepler stated (Planet orbit defines its velocity) – this concept is used in my third equation (d1/d2) = (v2/v1)2 where d= Planet Orbital Distance and v = Planet Velocity
The concept tells– If we know a planet orbital distance, we can conclude its velocity by mathematical calculations only
Shortly
By Using my 1st equation (d2 = 4d0 (d-d0)) and kepler law and the One Data (Mercury orbital distance = 57.9 million km) we can conclude by mathematical calculations only All Planets Orbital Distances, Velocities And Periods (27 Data)
That proves the concept (Planet data be created based on exact equations)
Planet Orbits Are Defined By Very Accurate System
Each planet orbit is defined based on an angle, these angles are reflected also – let's prove that (I suppose –There's a right triangle by the three points The Sun, Mercury and Venus) - Now
Venus angle is (61 degrees) because Venus orbital distance (108.2 mkm) x cos (61) = Venus Mercury distance (50.3 mkm) -
Here we can replace Venus with any other planet in the same triangle to define this planet angle based on similar calculation – as a result
Earth angle is (51 degrees) because Earth orbital distance (149.6 mkm) x cos (51) = Earth Mercury distance (91.7 mkm)
Mars angle is (41.7 degrees) because Mars orbital distance (227.9mkm) x cos (41.7)= Mars Mercury distance (170 mkm)
Jupiter angle is (22.2 degrees) because Jupiter orbital distance (778.6 mkm) x cos (22.2)= Jupiter Mercury distance (721 mkm)
Similar to that – Saturn angle is 16.5, Uranus angle is 11.6 deg, Neptune angle is 9.2 deg and Pluto angle is 8 deg- these angles follow the same system – for example
Pluto angle is (8 degrees) because Pluto orbital distance (5906 mkm) x cos (8)= Pluto Mercury distance (5848 mkm)
NOTICE No. (1) The right angle and its triangle is (a hypothesis) – we Can prove it because (v1/v2) = (θ1/ θ2)
means – these angles are rated with their planets velocities – for example
(Neptune velocity 5.4/ Pluto velocity 4.7) = (9.2 deg /8 deg)
Shortly -the angles which are defined based on the sun perpendicularity on Mercury orbit – all of them- are the correct angles by which the planets orbits are defined – that because the planets velocities are rated with these angles and Kepler stated (Planet orbit defines its velocity)- means- the planets orbits are defined based on these angles and that causes the angles rates to be equal with the velocities rates - Shortly -That tells indeed the sun position is perpendicular on the (inner planets orbits) – in fact – the sun is perpendicular on the Earth moon orbit- and this perpendicularity has effect on all inner planets because of the small distances among them.
I-10 Jupiter distances are defined by a motion by a speed = (1.16 million km /s) Data
(1)
(1.16 million km /s) x 300 sec = 348 mkm (300 mkm = Earth orbital distance x 2)
(1.16 million km /s) x 348 sec = 470 mkm (470 x2 = Earth Orbital Circumference)
(1.16 million km /s) x 470 sec = 551 mkm (Mars Jupiter Distance)
(1.16 million km /s) x 551 sec = 629 mkm (Earth Jupiter Distance)
(1.16 million km /s) x 629 sec = 721 mkm (Mercury Jupiter Distance)
(2)
(1.16 million km /s) x 108.2 sec x 4 = 500 mkm (108.2 = Venus orbital Distance)
(1.16 million km /s) x 500 sec = 580 mkm
(1.16 million km /s) x 580 sec = 671 mkm (Venus Jupiter Distance)
(1.16 million km /s) x 671 sec = 778.6 mkm (Jupiter Orbital Distance)
(1.16 million km /s) x 778.6 sec x 2 = 1806 mkm
(1.16 million km /s) x 1806 sec = 2094 mkm (Jupiter Uranus Distance)
(1.16 million km /s) x 2094 sec = 4900 mkm/2 (Jupiter Orb. Circumference)
(3)
(1.16 million km /s) x 5127 sec = 5906 mkm (Pluto orbital Distance)
(1.16 million km /s) x 4437 sec = 5127 mkm (Pluto Jupiter Distance)
(1.16 million km /s) x 3825 sec = 4437 mkm (Mercury Neptune Distance)
(1.16 million km /s) x 3244 sec = 3825 mkm (=π x 1205 mkm Mars Saturn Distance)
(1.16 million km /s) x2872sec=3244mkm (=2x1622 mkm Uranus Neptune Distance)
(1.16 million km /s) x4900sec=2 x 2872 mkm (Uranus Orbital Distance)
(4)
(1.16)2 x 170 sec = 227.9 mkm (Mars Orbital Distance)
Where 170 mkm = Mercury mars Distance
(5)
(1.16 million km /s) x 1980 sec = 2296.8 mkm
(1.16 million km /s) x 2296.8 sec = 2644.6 mkm (Mars Uranus Distance)
(1.16 million km /s) x 2644.5 sec = 3033.5 mkm (Uranus Pluto Distance)
1980 million km = the orbital circumferences total of (Mercury + Venus + Earth)
(6)
(1.16 million km /s) x 3717 sec = 4310 mkm (Earth Neptune Distance)
(1.16 million km /s) x 4346 sec = 5040 mkm (Jupiter Pluto Distance)
3717 mkm = Jupiter Neptune Distance –
(Earth Neptune Distance 4345mkm "error 1%" and Jupiter Pluto dis. 5127 mkm error 1.7%)
Discussion - the data tells the idea clearly, it tells
The distances in the solar system is created together based on one design and by one motion- this one motion is the light motion (1.16 million km per second) and the light creates the distance and after that the light uses the created distance as a period of time to create another distance, and by that, the light created all distances in one network together based on one geometrical design and this creation of the distances is done before any planet creation- the data clearly and strongly proves the hypothesis.
NOTICE - The total distances in the solar system (the orbital and inner distances) are 45 distances, the previous data used almost 50% of these distances (because many distances are equal in the solar group – for example – (Saturn orbital distance = Mars orbital circumference)- this distances equality makes the previous data behave in place of around 50% of all distances- and no logic to suppose these all distances are rated by the way with the rate (1.16)!!
The logical explanation is my theory I have explained- the light (1.16 million km per second) creates the distances based on one another by using the distances as periods of time - Also this behaviors is typical to the behavior of the known speed of light (300000 km/s)– as we have seen before - During 2094 seconds the light (300000 km/s) moves 629 million km (=Jupiter Earth distance) where 2094 million km (= Jupiter Uranus distance)- Simply it's typical behaviors tells the fact that the speed 1.16 million km per second is real fact and used in the solar system design)
I-11 The Solar System Geometrical Design Proves The Hypothesis
Data (1)
(A) (1.16/0.3) x 2π = 24.3
(B) 1.16 million km per second x 86400 seconds = 100733 million km
(100733 million km = The Planets Orbital Circumferences Total)
Data (2)
(a) 4224 x 1.16 =4900
(b) 100733 = π x 32200
(c) 1.1318/0.3 = 5906 / (778.6 /2)
Discussion
Data (1)
Data no. (A) - (1.16/0.3) x 2π = 24.3
By this equation the space and time are created- because it shows the coherence of light between the light (1.16 million km per second) and the light (300000 km/s)
The equation tells – the space is created in curves (2π) and the time is created in units each unit = (24 hours)
Shortly- the time essential units are 2 units (the second and 24 hours) because of the rate of time (one second of light clock = 24 hours of planet clock) by that the period of the (one second) (for light motion) is comparable with (24 hours) for planet motion that means- the period (24 hours) is one unit can't be divided and it's similar to the second period which is a unit can't be divided
Data no.(B) 1.16 million km per second x 86400 seconds = 100733 million km
The data tells the light (1.16 million km per second) moves in solar day (24 hours= 86400 seconds) a distance = 100733 million km = The Planets Orbital Circumferences Total - that proves the solar planets orbits creation is done by the motion of this light beam (1.16 million km per second) - the data proves the solar system design depends on this light motion.
Data (2)
Data no. (a) 4224 x 1.16 =4900
The data tells, the light (1.16 million km per second) moves in 4224 seconds a distance = 4900 million km = Jupiter Orbital Circumference
But – Mercury day period is 4222.6 hours (4224 hours approximately)
If (one second of light clock = one hour of Mercury clock), that will make the period (4224 s) as Mercury day period – and – we know that Mercury day period is the main period in the solar system because the sun rate of time is created based on it as I explain in the second and fourth hypotheses of this paper-
Shortly- while Mercury is the solar system head- Mercury day period is the main period in the solar system and this period is used for Jupiter orbital circumference because all planets orbits are defined based on Jupiter orbit after the planets migration- this fact is discussed in the third hypothesis is details – let's summarize it
Mars original orbit was between Mercury and Venus, and Pluto was the Mercury moon, and Pluto size was equal Mercury size- But- Mars and Pluto had migrated from their orbits- the planets migration caused serious risk for the solar system geometrical design- And Uranus provides a vertical effect on Jupiter to fix it in its orbit and prevent Jupiter to migrate with the migrant planets- after Jupiter be fixed in its orbit all other planets redefined their orbits according to Jupiter orbit – by that – Jupiter orbit be the most important distance in the solar system-
Notice- later Uranus caused to create Saturn to support Jupiter role- Saturn creation is done after the Earth moon creation because the energy reflection caused this delaying
The data shows how the solar system design depends on Jupiter orbit
Data no. (b) 100733 = π x 32200
32200 million km = the different distance between Pluto orbital circumference and Jupiter orbital circumference
100733 million km = The Planets Orbital Circumferences Total
The data supports the same idea- Jupiter and Pluto orbits create the general design of the solar system- because Jupiter is the main orbit in it and Pluto the last orbit.
Data no. (c) 1.1318/0.3 = 5906 / (778.6 x 2) where
5906 million km = Pluto orbital distance
778.6 million km = Jupiter orbital distance
1.1318 million km = Jupiter motion distance per solar day
0.3 million km = speed of light 300000 km/s
The data shows the distribution of Jupiter and Pluto orbits are in proportionality with speed of light (300000 km/s) and speed of (1.16 million km per second)
BUT the data shows Jupiter velocity daily (1.1318 million km per day) in place of the speed of light (1.16 million km per second) Why??
Another question asks (Why do all Jupiter distances depend on the speed of light 1.16 million km per second?) as we have seen in the previous proof No. (1-10)?
The story told the facts, Uranus provided effect on Jupiter and as a result Jupiter orbit be used as the main orbit in the solar system- BUT- what's this effect Uranus provided on Jupiter? What had happened really?
Uranus sent a light beam its speed (1.16 million km per second) to Jupiter for that Uranus velocity and Jupiter velocity both depends on the speed (1.16 million km per second)
Jupiter should move a distance 1.16 million km per solar day (24h) BUT Mars effect created more problems and caused Jupiter to use (Mars rotation period 24.6h) in place of the solar day and decreased the velocity with 2.5%
Uranus moves a distance 1.16 million km (in TWO solar days- error 1.3%)
The solar system basic design depends on (two seconds and not one second) as I explained in details in the fourth hypothesis of this paper- now – the system design uses two seconds in place of one second because Uranus moves the required distance 1.16 million in two days
Shortly – the force which is sent from Uranus to Jupiter was a light beam its speed 1.16 million km per second and by this force Jupiter helped the solar system and supported the planets in their orbits to prevent more migration in the solar system
I-12 The Solar System Distances Analysis Prove The Hypothesis
DATA (No. I)
50% Of All Distances In The Solar System Are Equal One Another (WHY?)
(1)
Saturn Orbital Distance = Saturn Uranus Distance =1433 million km =
= Mars Orbital Circumference
= Pluto Neptune Distance (error 1.5%)
= Pluto eccentricity Distance (error 1.5%)
= Neptune Orbital Distance/π
= Uranus Orbital Distance /2
= Mercury Jupiter Distance x 2
(2)
Neptune Orbital Distance = Saturn Pluto Distance
Jupiter Pluto Distance = Uranus Neptune Circumference
Earth Neptune Distance = Mercury Saturn Circumference (0.5%)
(3)
Jupiter Mercury Distance = 2 Mercury Orbital Circumference
Jupiter Venus Distance = Venus Orbital Circumference (1.5%)
Jupiter Earth Distance = Earth Orbital Circumference (1.2%)
(Earth and Jupiter at 2 different sides from the sun)
(4)
Jupiter Mercury Distance = Mars Orbital Distance x π (0.6%)
Jupiter Uranus Distance = Venus Jupiter Circumference (0.8%)
Pluto Orbital Distance = Earth Orbital Circumference x 2π
DISCUSSION
The data tells these distances must be created based on each other because all of them are parts in one design and one network- the data tells – it's impossible for these distances to be created univocally nor independently – but they are created by one motion based on one design and for one result.
DATA (No. II)
(778.6/721)=(721/670)= (670/629)=(1433/1325)=(1284/1205)= (2872/2644)= 1.0725
These are distances measured in millions km – let's define them
778.6, 721, 670 and 629 are the distances between Jupiter and the sun, Mercury, Venus and the Earth respectively.
1433, 1325, 1284, 1025 are the distances between Saturn and the sun, Venus, the Earth and Mars respectively.
2872 and 2644 are the distances between Uranus and the sun and Mars respectively.
MORE DATA (No. I)
629 million km (The Earth Jupiter distance)= (1.0725)^2 x 551 million km (Jupiter Mars Distance)
4495.1 million km (Neptune Orbital Distance) =1.0725 x 2 x 2094 million km (Jupiter Uranus Distance)
5906 million km (Pluto Orbital Distance) = (1.0725)^2 x 5127 million km (Jupiter Pluto Distance)
5127 million km (Jupiter Pluto Distance)= (1.0725)^2 x 4437 million km (Mercury Neptune Distance)
2.574 million km (Earth motion distance daily) = 1.0725 x 2.4 million km (TheMoon Orbital Circumference)
DISCUSSION
These distances are rated each other with (1.0725) this rate is created by Lorentz length contraction effect (as I supposed and proved)- but – regardless this rate reason the question is – How can all these distances be effected by this rate together?
That can be possible only if (these distances are parts of one design and this design is effected by this rate as a result all distances be effected together)
The data proves the distances are created together based on one design and the distances are effected together by the same one effect – shortly- these distance can NOT be independent from one another but they are one group created based on one design.
I-13 Deep Analysis For The Planets Orbits
The Light Uses Each Planet Orbital Period To Move A Distance = This Planet Orbit + All Previous Planets Orbits Total
DATA
(1)
14 x 24 x (300000 km/s) = 100.8 million km = 2 x 50.4
(2)
35.76 x 24 x (300000 km/s) = 258 million km = 149.6 + 108.2
(3)
58.1 x 24 x (300000 km/s) = 418 million km = 149.6 + (2 x 108.2) + 58
(4)
109.3 x 24 x (300000 km/s) =787 million km = 58+ 108+149.6 +2 x228 (error 2%)
(5)
687 x 24 x (300000 km/s) = 4900 million km
(6)
687 x 24 x (300000 km/s) = 4900 million km
(7)
1710 x 24 x (300000 km/s) = 12312 million km = 28244/(1.16 x2)
(8)
4868 x 24 x (300000 km/s) = 17600 million km x 2
(9)
9517 x 24 x (300000 km/s) = 68522 million km = 2 x 18048 + 32400
(10)
14413 x 24 x (300000 km/s) = 103773 million km
DISCUSSION
The data shows the rule (Planet Orbital Period "days"/2π) x 24 x Speed Of Light (300000 km/s) = A Distance = This Planet Orbital Circumference + All Previous Planets Orbital Circumferences Total – let's prove this rule in following
(1) Pluto Data
90560 days (Pluto orbital period) /(2π) = 14413 days
14413 x 24 x 300000 km/s = 103773 million km
The planets orbital circumferences total is 100733 million km
Between 103773 mkm and 100733 mkm the error is (3%)
Pluto follows the rule perfectly- the light passes a distance = Pluto orbital circumference + all previous planets orbital circumferences = the planets orbital circumferences total
(2) Neptune Data
59800 days (Neptune orbital period) /(2π) = 9517 days
9517 x 24 x 300000 km/s = 68526 million km = (2 x 18048) + 32400
The distance 2 x 18048 million km = all planets orbital circumferences total before Neptune
32400 mkm = 1.16 mkm/s x 28244 seconds
28244 million km = Neptune orbital circumference
Neptune follows the rule perfectly but because of the energy reflection the speed (1.16 mkm/s) is used one additional time- clearly we see Neptune follows perfectly the rule
(3) Uranus Data
30589 days (Uranus orbital period) /(2π) = 4868 days
4868 x 24 x 300000 km/s = 17600 million km x 2
18048 million km (Uranus Orbital Circumference) (error 2.5%)
Uranus follows the rule perfectly because Uranus orbital circumference =18048 mkm and all previous planets orbital circumferences total is = 18048 mkm
(4) Saturn Data
10747 days (Saturn orbital period) /(2π) = 1710 days
1710 x 24 x 300000 km/s = 12312 million km
Jupiter orbit (4900) + Saturn orbit (9000) = 14000 million km
Light (1.16 million km/s) x 12312 seconds = 14282 million km
Means
The value (12312) equal (Jupiter orbital circumference)+Saturn orbital circumference
But the reflection of energy uses the speed of light (1.16) to have effect on the data
That tells Saturn follows the rule
Notice
12312 sec x 1.16 mkm/s = 14282 mkm = 28244 mkm/2
28244 mkm = Neptune orbital circumference – that tells the confusion in Saturn data is done by Neptune orbit effect
Notice
We see the speed of light (1.16 mkm/s) has effect on Saturn data by division (12312 = 14282/1.16) but in Neptune data we have seen the speed of light (1.16 mkm/s) has effect by multiplication (28244 x 1.16 = 32400)
That tells we have opposite positions between (Neptune and Saturn) and the light connects them together by one motion-
The data tells simply (A x 1.16 and B/1.16) this is effect of one light beam motion through both points.
(6) Jupiter Data
4331 days (Jupiter orbital period) /(2π) = 687 days
687 x 24 x 300000 km/s = 4900 million km
Jupiter orbital circumference = 4900 million km
The distance equal Jupiter orbital circumference only without the previous planets BUT - The inner planets orbital circumferences total be = 4900 million km
Let's prove that
360 (Mercury) + 680 (Venus) +940 (Earth) + 1433 (Mars) = 3413 million km
4900 million km – 3413 million km = 1433 million km
That tells – the data supposes the Earth moon orbital circumference around the sun = Mars orbital circumference = 1433 million km
By that 360 + 680 +940 + 1433 + 1433 = 4846 million km = Jupiter orbital circumference (4900 mkm) (error 1%)
(7)Mars Data
687 days (Mars orbital period) /(2π) = 109.3 days
109.3 x 24 x 300000 km/s = 787 million km = Jupiter orbital distance 778.6 million km (error 2%)
778.6 million km= 57.9 mkm + 108.2 mkm + 149.6 mkm + 227.9 mkm+ 227.9 mkm
Means- Mars Value (787 = 778 = the four inner planets orbital distances total + the Earth moon orbital distance to the sun (which is considered = Mars orbital distance)
Here the value provided the distances total and not the circumferences total
But Mars follows the rule perfectly because
The value (778) = the 5 planets orbital distances total
(8)Earth Data
365.25 days (Earth orbital period) /(2π) = 58.1 days
58.1 x 24 x 300000 km/s = 418 million km = 149.6 mkm (Earth orbital distance) + 2 x 108.2 mkm (Venus orbital distance) + 57.9 mkm (Mercury orbital distance)
The Earth follows the rule- the modification can be done by the moon effect on the earth motion.
(9)Venus Data
224.7 days (Earth orbital period) /(2π) = 35.76 days
35.76 x 24 x (300000 km/s)= 258 million km = 149.6 mkm (Earth orbital distance)+ 108.2 mkm (Venus orbital distance)
(10)Mercury Data
88 days (Earth orbital period) /(2π) = 14 days
14 x 24 x (300000 km/s) = 100.8 million km = 2 x 50.4
50.4 million km = Mercury Venus Distance
The Comment On The Data
(1)
We notice a deep interaction between Mars and Jupiter where Jupiter orbital period (4331 days /2π)= 687 days (Mars orbital period)
And Mars value (109.3 days) enables the light to pass a distance 778.6 mkm
109.3 x 24 x 300000 km/s = 778.6 million km (Jupiter orbital distance)
That shows deep interaction between Mars and Jupiter which is logical behavior because Mars is a migrant planet and Mars created an interaction with Jupiter to enable Mars to stay in its New orbit and prevent any more migration.
(2)
Mars orbital period 687 days = 88 (Mercury) + 224.7 (Venus) + 365.25 (Earth)
(error 1.5%)
Notice - 551 mkm (Mars Jupiter distance) = 57.9 mkm (Mercury orbital distance) + 108.2 mkm (Venus orbital distance) + 149.6 mkm (Earth orbital distance) + 227.9 mkm (Mars orbital distance) (error 1.5%)
(3)
The data shows very important fact
The data tells that (The Light Motion Is The Main Player Behind All Data)
Let's use the sea water as example
The sea water motion is the main player behind the sea waves, the ship sailing, the fish swimming and the cause for any motion in the sea - Different forms of motions in the sea we can discover but the motion reason and motor is the same one reason and motor – This is the useful result of this data- it's simply a major proof for my theory- the light motion is the reason behind all planets motions and data-
Notice - Why Is The Planets Data Analysis Method Important?
The planets data analysis makes some anatomy for the planets data, by that, we can know how this planet data is created and what geometrical reason caused to create this data- the planets data analysis also enable us to discover if a planet violates a rule used by the other planets- and it shows the geometrical reason behind this violation-
1-14 Light defines each planet orbital period
The light defines each planet orbital period based on this planet diameter
Data
142984 s x (0.3)^2 = 12868 = π x 4331 (error 5%)
120536 s x (0.3)^2 = 10747
51118 s x (0.3) = 30589/2
49528 s x (0.3)^2 = 4457
7510 s x (0.3) x 4π^2 = 88945 (= 90560 error 1.8%) (notice 7510 x 4π^2 =296483)
6792 s x (0.3)^2 = 611
7510 s x (0.3)^2 = 676 = 687 (error 1.5%)
12756 s x (0.3)^2 = 1148 = π x 365.25
12104 s x (0.3)^2 = 1089 = (π^2)/2 x 224.7
4879 s x (0.3)^2 = 439 = (π^2)/2 x 88
Notice
7070 s x (0.3)^2 = 637 = 687 / 1.0725
Where
(1)
The left side data is the planets diameters, in details
142984 km, 120536 km, 51118 km, 49528 km and 7510 km are the diameters of (Jupiter, Saturn, Uranus and Neptune respectively and 7510km =Pluto circumference)
And
6792 km, 12756 km, 12014 km and 4879 km are the diameters of (Mars, Earth, Venus and Mercury respectively) – all diameters are used as periods of time with the rate (1 km = 1 second) - The periods are used by light known speed (300000 km/s)
(2)
The right side is the planets orbital periods
12868 = π x 4331 (error 5%) (4331 days = Jupiter orbital period)
10747 days = Saturn orbital period
30589 days = Uranus orbital period
90560 days = Pluto orbital period
Notice
4457 million km = Neptune orbital distance
That shows Neptune produced its orbital distance in place of its orbital period based on the same rule proves that Neptune is found on the opposite direction to the other planets.
687 days = Mars orbital period (with 611 the error 12%)!
1148 days = π x 365.25 days (Earth Orbital Period)
1089 days = (π^2)/2 x 224.7 days (Venus Orbital Period)
439 = (π^2)/2 x 88 days (Mercury Orbital Period)
Notice
7070 s x (0.3)^2 = 637 = 687 / 1.0725
7070 km was Mars original diameter before its migration- and the rate 1.0725 is found by Lorentz length contraction effect.
The Comment On The Data
The data shows the following
Light Motion Connects Each Planet Diameter With Its Orbital Period
The equation modifications can NOT refute the theory because the modifications depend on geometrical constant as (π), or depend on the using of (C) or (C^2)- these values can't be considered new values nor change the rule because they are geometrical constants which shows modifications are done for the energy- for example- the energy reflection causes to square the speed, by that, the planets which us (C) have no reflection of energy but the planets use (C^2) are suffered from the energy reflection- Shortly- the modifications can't refute the theory- means- the data tells – planet orbital period is defined based on this planet diameter by effect of the speed of light
I-15 Can Planet Diameter Be Used As A Period Of Time
DATA
Jupiter (13.1 km/s) moves during 10921 s a distance = 142984 km = Jupiter diameter
Uranus (6.8 km/s) moves during 7510 s a distance =51118 km = Uranus diameter
Pluto (4.7 km/s) moves during 10921 s a distance =51118 km = Uranus diameter
Pluto (4.7 km/s) moves during 51118 s a distance =2 x 102536 km = Saturn diameter
Pluto (4.7 km/s) moves during 2 x 120536 s a distance =1.1318 mkm
(1.13184 mkm = Jupiter motion distance per solar day)
Where
10921 km = The Moon Circumference
7510 km = Pluto Circumference
The data shows the planets diameters are used as periods of time (for planets motions) also and not only for light motion – the fact is proved simply
The Comment On The Data
(1)
My planet diameter equation proves that planet diameter is created as a period of time because the diameter is created as a function in this planet rotation period.
(2)
The previous data is example of many similar which proves the planet diameter is used as period of time.
(3)
How can the planet diameter be used as a period of time?
Planet diameter is used as a period to define another planet diameter-
The idea is that- the solar system is created from one motion (the original light beam motion)- by this one motion all planets diameters are created for that each planet diameter defines the next planet diameter.
(CONT)
Gerges Francis Tawdrous +201022532292
Physics Department- Physics & Mathematics Faculty
Peoples' Friendship university of Russia – Moscow (2010-2013)
Curriculum Vitae https://www.academia.edu/s/b88b0ecb7c
E-mail [email protected], [email protected]
ORCID https://orcid.org/0000-0002-1041-7147
Facebook https://www.facebook.com/gergis.tawadrous
VK https://vk.com/id696655587
Tumblr https://www.tumblr.com/blog/itsgerges
Researcherid https://publons.com/researcher/3510834/gerges-tawadrous/
Google https://scholar.google.com/citations?user=2Y4ZdTUAAAAJ&hl=en
Livejournal https://gerges2022.livejournal.com/profile
Pocket https://getpocket.com/@646g8dZ0p3aX5Ad1bsTr4d9THjA5p6a5b2fX99zd54g221E4bs76eBdtf6aJw5d0?src=navbar
PUBLICATIONS
box https://app.box.com/s/47fwd0gshir636xt0i3wpso8lvvl8vnv
Academia https://rudn.academia.edu/GergesTawadrous
List of publications http://vixra.org/author/gerges_francis_tawdrous
Slideshare https://www.slideshare.net/Gergesfrancis
#3d#Advice#aerospace#analog#Analysis#applications#artificial#Artificial Intelligence#automotive#awareness#CEO#Collaboration#communication#communications#Community#Companies#consumer electronics#data#data analysis#Data Centers#details#devices#Electronics#emerging technologies#employees#engineering#enterprise#enterprise data centers#Faculty#Future
0 notes
Text
MPU-6050: Features, Specifications & Important Applications
The MPU-6050 is a popular Inertial Measurement Unit (IMU) sensor module that combines a gyroscope and an accelerometer. It is commonly used in various electronic projects, particularly in applications that require motion sensing or orientation tracking.
Features of MPU-6050
The MPU-6050 is a popular Inertial Measurement Unit (IMU) that combines a 3-axis gyroscope and a 3-axis accelerometer in a single chip.
Here are the key features of the MPU-6050:
Gyroscope:
3-Axis Gyroscope: Measures angular velocity around the X, Y, and Z axes. Provides data on how fast the sensor is rotating in degrees per second (°/s).
Accelerometer:
3-Axis Accelerometer: Measures acceleration along the X, Y, and Z axes. Provides information about changes in velocity and the orientation of the sensor concerning the Earth's gravity.
Digital Motion Processor (DMP):
Integrated DMP: The MPU-6050 features a Digital Motion Processor that offloads complex motion processing tasks from the host microcontroller, reducing the computational load on the main system.
Communication Interface:
I2C (Inter-Integrated Circuit): The MPU-6050 communicates with a microcontroller using the I2C protocol, making it easy to interface with a variety of microcontrollers.
Temperature Sensor:
Onboard Temperature Sensor: The sensor includes an integrated temperature sensor, providing information about the ambient temperature.
Programmable Gyroscope and Accelerometer Range:
Configurable Sensitivity: Users can adjust the full-scale range of the gyroscope and accelerometer to suit their specific application requirements.
Low Power Consumption:
Low Power Operation: Designed for low power consumption, making it suitable for battery-powered and energy-efficient applications.
Read More: MPU-6050
#mpu6050#MPU-6050#IMU#accelerometer#gyroscope#magnetometer#6-axis IMU#inertial measurement unit#motion tracking#orientation sensing#navigation#robotics#drones#wearable devices#IoT#consumer electronics#industrial automation#automotive#aerospace#defense#MPU-6050 features#MPU-6050 specifications#MPU-6050 applications#MPU-6050 datasheet#MPU-6050 tutorial#MPU-6050 library#MPU-6050 programming#MPU-6050 projects
0 notes
Text
Om Steel is a leading stainless steel manufacturer, specializing in the production of high-quality stainless steel grades such as austenitic, ferritic, and duplex. Our expertise lies in providing customized solutions for diverse applications, offering exceptional corrosion resistance and hygienic properties. With a focus on strength, durability, and precision, we supply stainless steel for industrial sectors including defense, aerospace, oil/gas, and specialty valves. Explore our range of stainless steel products, including sheets, plates, pipes, tubes, round bars, and forged fittings, delivering reliable performance across various industries worldwide.
#Stainless steel manufacturer#Austenitic stainless steel#Duplex stainless steel#Corrosion-resistant steel#Customized stainless steel solutions#Hygienic stainless steel#304 stainless steel#316 stainless steel#430 stainless steel#2205 stainless steel#Stainless steel properties#Industrial stainless steel applications#Stainless steel sheets#Stainless steel plates#Stainless steel pipes#Stainless steel tubes#Stainless steel round bars#Stainless steel forged fittings#Defense & Aerospace stainless steel#Oil/Gas stainless steel
0 notes