梁强,张贤明,李平,李永亮,徐永航

• 1:重庆工商大学废油资源化技术与装备教育部工程中心
• 2:重庆工商大学机械工程学院

摘要(Abstract)：

精确的本构模型是铝黄铜合金热精锻工艺方案设计及数值模拟仿真的关键。基于挤压态HAl61-4-3-1合金在变形温度为873～1073 K、应变速率为0.01～10 s~(-1)区间的等温热压缩实验数据，分析热压缩过程中摩擦和温升效应对流变应力的影响并对流变应力曲线进行修正。基于修正数据，构建了HAl61-4-3-1合金的改进Zerilli-Armstrong、Arrhenius本构模型及GWO-BPNN本构模型。结果表明：GWO-BPNN模型的均方根误差RMSE和平均绝对百分比误差MAPE分别为0.444 MPa和1.078%,而改进Zerilli-Armstrong模型的分别为2.567 MPa和5.470%,改进Arrhenius模型的分别为1.202 MPa和3.163%,表明GWO-BPNN模型的预测精度更高。并且，通过引入GWO算法对BPNN的初始权值和阈值进行寻优，使得该模型具有较高的预测精度和较优的稳定性，能更好地描述HAl61-4-3-1合金的高温流变行为。

关键词(KeyWords)： HAl61-4-3-1合金;流变应力;本构模型;BP神经网络;灰狼优化算法

Abstract:

Keywords:

基金项目(Foundation): 重庆市自然科学基金面上项目(cstc2020jcyj-msxmX0276);; 2021年度校内资助项目计划(2152026)

作者(Author): 梁强,张贤明,李平,李永亮,徐永航

DOI: 10.13289/j.issn.1009-6264.2022-0169

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