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[2M1-GS-10-01] AI application to engineering chain in manufacturing industry
Keywords:Manufacturing Industry, Design and Development, Generative Design, Surrogate Modeling, Physics Informed Neural Networks
The challenge of applying AI to manufacturing has been tried for many years. The application of AI to the engineering chain is also underway and it is still far from complete. This paper describes the latest technology and examples of applications of AI to design and development in the manufacturing engineering chain. The activities for deeper and wider application will be presented. The use of data from thermal flow analysis and experimental results to training would be simplified evaluation of new designs, and examples of various applications using AI based ROM (reduced order model), AI surrogate models, and deep learning, as well as applications to vibration of large structures would be presented. Mechanisms for accumulating causal analysis and AI training data and future efforts will also be discussed.
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