doomsday4/Heat-Transfer-in-Advanced-Manufacturing-using-PINN
This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing the energy consumption and optimizing the sensor positioning.
This project helps manufacturing engineers and process optimizers understand and predict heat distribution in high-temperature industrial processes, like metal solidification. By inputting process parameters and boundary conditions, it generates precise temperature profiles and insights into heat transfer, which can be used to reduce energy consumption and optimize sensor placement.
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Use this if you need to accurately model complex heat transfer during manufacturing, especially processes involving phase changes like solidification, to improve efficiency and system design.
Not ideal if your heat transfer problems are simple, linear, or don't involve complex physical phenomena and you prefer traditional simulation methods over machine learning approaches.
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Jupyter Notebook
License
MIT
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Last pushed
Jun 26, 2024
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