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  6. [Case Study of Machine Learning Solution] BMW

[Case Study of Machine Learning Solution] BMW

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last updated:Dec 17, 2024

アルテアエンジニアリング
アルテアエンジニアリング
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AI learns engineering expertise! A case study on optimizing collision safety.

To BMW, a global manufacturer providing automobiles and motorcycles, we would like to introduce a case study of our machine learning solution implementation. The collision design of the Body in White (BIW) not only incurs high computational costs but also requires advanced engineering expertise to resolve the conflicting issues of load cases and design criteria. The company successfully automated tasks previously performed by experts using a surrogate model leveraging machine learning (ML), shortening the development cycle and optimizing collision safety. [Case Overview] ■Challenges - Key performance indicators such as energy absorption, peak load levels before failure, local displacement, and weight are very complex. ■Results - The optimization problem method was simplified, reducing the number of iterations in the design of complex automotive collision structures. *For more details, please download the PDF or feel free to contact us.

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機械学習ソリューション導入事例.PNG

[Case Study of Machine Learning Solution] BMW

機械学習ソリューション導入事例.PNG
機械学習ソリューション導入事例.PNG
  • Related Link - https://altairjp.co.jp/ai-powered-design/

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[Case Study of Machine Learning Solution] BMW

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アルテアエンジニアリング

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Altair is a global company that provides software and cloud solutions in the fields of product development, high-performance computing (HPC), and artificial intelligence (AI). We offer technology that enables our customers across diverse industries to create a sustainable future and thrive in a connected world. For more details, please visit www.altairjp.co.jp.

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