里 明起照
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強化学習を用いた溶接残留応力低減のための溶接順序最適化システムの開発
著者:
里 明起照,橋詰 光,加藤 拓也,生島 一樹,柴原 正和,（大阪府立大）
発刊日:
公開日:
キーワードタグ:
Redidual Stress，FEM，Reinforecement Learning
里 明起照,橋詰 光,加藤 拓也,生島 一樹,柴原 正和,（大阪府立大）
発刊日:
公開日:
キーワードタグ:
Redidual Stress，FEM，Reinforecement Learning
Currently, various welding is performed in the process of manufacturing all kinds of structures such as ships and bridges, and metal 3Dprinters are attracting attention in recent years. However, there are several problems in these manufacturing method. Residual stress occurs inside the products due to thermal processing. It is thought that defects such as cracks during manufacturing, deformation and fatigue fracture are caused by the tensile stress on the surface. Therefore, it is necessary to optimize the ...
英字タイトル:
Development of a Welding Sequence Optimization System for Reducing Residual Stress in Welding Using Reinforcement Learning
英字タイトル:
Development of a Welding Sequence Optimization System for Reducing Residual Stress in Welding Using Reinforcement Learning