基于粒子群算法确定热源参数的EH40/316L高功率激光焊接温度场模拟
Determining heat source parameters based on particle swarm optimization for temperature field simulation of EH40/316L high power laser welding
徐加俊 1黄禹 2王璐 2荣佑民2
作者信息
- 1. 华中科技大学,武汉, 430074;广东华中科技大学工业技术研究院,东莞, 518052
- 2. 华中科技大学,武汉, 430074
- 折叠
摘要
焊接瞬态温度场对焊接残余应力与变形模拟结果具有重要的影响,为提高EH40/316L高功率激光焊接的温度场模拟精度,开发了用于热源模型经验参数优化的智能计算方法.该方法利用MATLAB软件随机生成热源模型的经验参数,调用ANSYS软件执行焊接温度场模拟的APDL命令,并在计算完成后返回结果数据,然后通过借助粒子群算法的群体智能和进化智能的优点,根据预测结果生成新的热源经验参数,进行迭代计算,直至预测结果为最优结果;同时,为提高收敛速度,将有限元几何模型简化为原模型的 1/5.基于该方法,开展了 10个热源模型经验参数优化案例的计算,并根据优化结果分析了热源模型的参数敏感性.结果表明,该方法实现了温度场的准确预测,其中 10 个优化案例的平均计算时间为 30.3 h,最大、最小和平均预测误差分别为 2.84%,2.06%和 2.16%;同时,由预测误差和热源经验参数的响应曲面可知,两者之间具有复杂的非线性关系,其数学函数为多谷函数.
Abstract
The welding transient temperature field has an im-portant influence on the simulation results of welding residual stress and deformation.To improve the accuracy of the tem-perature field simulation in EH40/316L high power laser weld-ing,an intelligent calculation method is developed to optimize the empirical parameters of heat source model.This method uses MATLAB software to randomly generate the empirical parameters,calls ANSYS software to execute the APDL com-mand of the welding temperature field simulation,and returns the result data when the calculation is completed.Then,based on the swarm intelligence and evolutionary intelligence of particle swarm optimization algorithm,new empirical paramet-ers of the heat source are generated according to the prediction results.The iterative calculation is carried out until the predic-tion results are the optimal results.10 cases of empirical para-meter optimization are performed,and the parameter sensitiv-ity of heat source model is analyzed according to the optimiza-tion results.The results show that the average calculation time of the 10 cases is 30.3 hours,and the maximum,minimum and average prediction errors are 2.84%,2.06%and 2.16%re-spectively.This indicates a great improvement in the simula-tion accuracy of welding temperature field.Meanwhile,it can be seen from the response surface of the prediction error and the empirical parameters,that the mathematical function between them is a multi-valley function and has a complex nonlinear relationship.
关键词
高功率激光焊接/异种钢/焊接温度场模拟/热源参数优化/粒子群算法Key words
high power laser welding/dissimilar steel/welding temperature field simulation/optimization of heat source parameters/particle swarm optimization algorithm引用本文复制引用
基金项目
国家重点研发计划(2022YFB3404800)
广东省基础与应用基础研究基金项目(2023A1515012639)
中国博士后科学基金资助项目(2021M691113)
中国博士后科学基金资助项目(2022T150235)
出版年
2024
NETL
NSTL
维普
万方数据