Heuristic Optimization for Skid Lines in Automobile Covering Parts

Abstract

The skid line on the automobile covering parts is a critical problem in sheet metal forming, which will impact significantly the appearance of automobile products. A heuristic optimization method is presented to control the affected region of skids lines incorporating finite element analysis. In this method, the simulation analysis and optimization are repeated by adjusting drawbead restraining forces and the affected region of skids lines decreases until skids lines are restricted to the local features that cause skid lines. Finally, a typical automobile covering part is employed to verify the effectiveness of the proposed method and the results show a favorable effectiveness and practicability in drawbead optimization concerning skids lines.

Rapid feasibility assessment of components to be formed through hot stamping: A deep learning approach

“…As mentioned by Zhou, Li & Xu [17], scalar based models lack informativeness due to this data consolidation. This is particularly true in scenarios where the manufacturing feasibility is determined by distribution based indicators, such as post form thickness gradients [18], surface slip lines [19] and wrinkle distributions [20]. To provide richer data representations, other references predicted full field data on a FE mesh using deep neural networks (DNNs).…”