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使用机器学习方法预测和优化先进的高强度钢的拉伸接性

Tianyang Li1, Zheng Yang1, Junyi Cui2

  • 1Sichuan University - Pittsburgh Institute (SCUPI), Sichuan University, Chengdu, 610207, China.

Scientific reports
|May 10, 2025
PubMed
概括

本研究引入了一种机器学习框架,用于预测和优化先进高强度钢 (AHSS) 的性能,增强拉伸侧翼性. 该模型准确预测关键的机械性能,并确定最佳组合以提高性能.

关键词:
先进的高强度钢材是先进的构成-结构-财产关系.机器学习 机器学习多个目标优化优化.拉伸边缘性 拉伸边缘性 拉伸边缘性

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