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Updated: Jan 8, 2026

Surrogate Model Development for Digital Experiments in Welding
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超塑性成型部件的快速厚度分布预测基于几何适应PSO-BP神经网络替代模型

Muqi Sun1,2, Chengyue Xiong3,4, Yuwei Zhou1,2

  • 1State Key Laboratory of Advanced Forming Technology and Equipment, Academy of Machinery Science & Technology, Beijing, 101400, China.

Scientific reports
|December 23, 2025
PubMed
概括

一个新的网状神经网络模型快速预测超塑性形成 (SPF) 厚度分布. 这种方法显著提高了准确性,使实时流程优化为增强制造控制.

关键词:
几何健身功能 几何健身功能粒子群集优化优化 粒子群集优化形成超塑性塑料的形成替代模型的替代模型厚度分布预测的预测

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