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Updated: Jun 23, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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在冲压过程中可变空格持有器力轨迹的数值优化,以减少多缺陷.

Feng Guo1, Hoyoung Jeong1,2, Donghwi Park1

  • 1Department of Mechanical Engineering, Sogang University, Seoul 04107, Republic of Korea.

Materials (Basel, Switzerland)
|June 19, 2024
PubMed
概括

使用深度神经网络,遗传算法和蒙特卡洛模拟的智能优化技术有效地减少了板材成型中的故障,纹和反弹等缺陷.

关键词:
缺陷预测缺陷的预测多目标优化多目标优化替代模型方法的替代模型方法.可变的空白持有器力量轨迹变量持有器力量轨迹

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