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  • Summary & Details

3D Shape Generative AI for Thin Sheet Metal Components under Geometric Boundary Shape Constraints

薄板部品を対象とした外周形状制約付き3次元形状生成AIの開発

Detailed Information

Category(J)論文

Translation

Category(E)Paper
Author(J)1) 杉浦 拓実, 2) 橋口 勲武, 3) 高橋 厚至, 4) 瀧 宣博, 5) 西口 浩司, 6) 齊藤 啓
Author(E)1) Takumi Sugiura, 2) Isamu Hashiguchi, 3) Atsushi Takahashi, 4) Nobuhiro Taki, 5) Koji Nishiguchi, 6) Kei Saito
Affiliation(J)1) (株)JSOL, 2) 大阪大学, 3) (株)JSOL, 4) (株)JSOL, 5) 名古屋大学, 6) (株)JSOL
Abstract(J)本研究は,車両開発の構造初期検討段階における効率化への適用を狙い,3次元形状生成AI技術を提案する.薄板部品の外周形状を生成条件として与えることにより,設計領域における複数の内部形状の初期設計案を自動的に提案することを可能にした.ここではフードに適用した事例を紹介する.

Translation

Abstract(E)This study proposes a novel image-based shape generative model for automotive thin sheet metal components that generates internal shape under geometric shape constraints. By representing boundaries with B-spline curves and internal shapes as differential height maps, the method ensures consistency at the edges and enables diverse shape generation even with limited datasets. The results demonstrate the model's practical applicability and ability to produce varied boundary-conforming shapes. Applied to a vehicle hood inner panel, the generated shapes were successfully integrated into the actual vehicle FE model with only some modifications.

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