基于多目标粒子群算法的A356铝合金蠕变本构模型的构建
Construction of Creep Constitutive Model of A356 Aluminum Alloy Based on Multi-objective Particle Swarm Algorithm
杨紫毅 1李书博 1景国玺 1马天 1孙帅 1孙秀秀 1周海涛2
作者信息
- 1. 河北工业大学机械工程学院,天津市新能源汽车动力传动与安全技术重点实验室,天津 300400
- 2. 中国北方发动机研究所(天津)柴油机增压技术重点实验室,天津 300400
- 折叠
摘要
在150,250,300 ℃温度和20～150 MPa应力下,对A356铝合金进行单向拉伸蠕变试验,研究了其蠕变特性;采用多 目标粒子群算法得到Norton-Bailey幂律模型、Garofalo双曲正弦模型和基于变形机制的真应力蠕变模型的参数,并采用这3种模型对A356铝合金的最小蠕变速率-应力曲线进行预测,分析3种模型的预测精度.结果表明:A356铝合金的最小蠕变速率与试验温度和应力成正相关,但温度对最小蠕变速率的影响程度大于应力;基于变形机制的真应力蠕变模型具有最高的预测精度,对最小蠕变速率的预测结果中90％数据点均位于2倍误差带内.结合多 目标粒子群算法得到的基于变形机制的真应力蠕变模型可以用来准确模拟宽幅温度和应力范围下A356铝合金的蠕变特性.
Abstract
Unidirectional tensile creep tests of A356 aluminum alloy were carried out at temperatures of 150,250,300 ℃ and stresses of 20-150 MPa to investigate its creep characteristics.The multi-objective particle swarm algorithm was used to obtain the parameters of the Norton-Bailey power law model,Garofalo hyperbolic sinusoidal model,and deformation mechanism-based true-stress creep model,and the minimum creep rate-stress curve of A356 aluminum alloy was predicted by these three models.The prediction accuracy of the three models was analyzed.The results show that the minimum creep rate of A356 aluminum alloy was positively correlated with the test temperature and stress,and the temperature had greater influence on the minimum creep rate than the stress.The deformation mechanism-based true-stress creep model had the highest prediction accuracy,and 90％of the data points in the prediction results of the minimum creep rates were located within the 2 time error band.The deformation mechanism-based true-stress creep model obtained by the multi-objective particle swarm algorithm could accurately simulate the creep properties of A356 aluminum alloy under a wide range of temperature and stress.
关键词
A356铝合金/最小蠕变速率/蠕变本构模型/多目标粒子群算法Key words
A356 aluminum alloy/minimum creep rate/creep-constitutive model/multi-objective particle swarm algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据