Optimisation of panel component regions subject to hot stamping constraints using a novel deep-learning-based platform

• Published in: IOP conference series. Materials Science and Engineering Vol. 1270; no. 1; pp. 12123 - 12132
• Main Authors: Attar, H R, Foster, A, Li, N
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.12.2022
• Subjects: Cold working; Complexity; Deep learning; Design; Hot stamping; Neural networks; Optimization; Redesign; Stiffness; Thinning

The latest hot stamping processes can enable efficient production of complex shaped panel components with high stiffness-to-weight ratios. However, structural redesign for these intricate processes can be challenging, because compared to cold forming, the non-isothermal and dynamic nature of these p...