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Updated: Jul 23, 2025

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基于基因算法的反向优化识别方法,用于Ti6Al4V合金的热温度构成模型参数

Xuewen Chen1, Zhiyi Su1, Jiawei Sun1

  • 1School of Materials Science and Engineering, Henan University of Science and Technology, 263 Kaiyuan Avenue, Luoyang 471023, China.

Materials (Basel, Switzerland)
|July 14, 2023
PubMed
概括

一个遗传算法优化了阿雷尼乌斯型 (A-T) 模型,在Ti6Al4V合金的高温变形方面显示出比约翰逊-库克 (JC) 模型更高的精度. 这种精确的构成模型增强了材料成型中的有限元模拟.

关键词:
这是一种Ti6Al4V合金.这种合效应是合效应.遗传算法是一种遗传算法.相反的优化反向优化应变补偿是一种应变补偿.

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