焊接热源参数优化方法研究及验证

张红卫, 桂良进, 范子杰

清华大学学报（自然科学版） ›› 2022, Vol. 62 ›› Issue (2) : 367-373.

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清华大学学报（自然科学版） ›› 2022, Vol. 62 ›› Issue (2) : 367-373. DOI: 10.16511/j.cnki.qhdxxb.2021.25.011
机械工程

焊接热源参数优化方法研究及验证

  • 张红卫, 桂良进, 范子杰
作者信息 +

Research and verification of welding heat source parameter optimization model

  • ZHANG Hongwei, GUI Liangjin, FAN Zijie
Author information +
文章历史 +

摘要

焊接过程温度场的准确计算，对焊接残余应力及变形分析起着决定性作用。焊接热源中的形状参数直接决定焊接温度场的分布，而热源形状参数的确定一般需要根据实际焊缝形状使用试算法反复调整，效率和精度对研究人员的经验依赖性强。该文提出了一种热源形状参数优化模型，可用于各类热源形状参数的估计。使用多软件协同计算的方法，实现对优化模型的求解。通过对试验案例进行有限元模拟，与试验结果进行了对比验证。结果表明，基于该文提出的热源形状参数优化方法，可减少重复建模的工作量，并得到最优的热源参数，降低了焊接温度场模拟的效率与精度对研究人员经验的依赖性。

Abstract

Accurate simulations of the temperature field during welding are important for analyzing welding residual stresses and material deformation. The welding temperature field is directly related to the shape parameters of the heat source. However, the heat source shape parameter determination is generally a trial and error process with the efficiency and accuracy highly dependent on the researcher experience. This paper presents an optimization model for determining the heat source parameters during welding which can be used to estimate the shape parameters of various heat sources. Finite element simulations with the optimized parameters compared well with experimental data. The results show that this optimization method reduces the cost of repeated modeling to obtain the optimal heat source parameters, which also reduces the influence of the researchers' experience on the efficiency and accuracy of welding temperature simulations.

关键词

焊接热分析 / 热源参数 / 优化模型 / 有限元分析

Key words

welding thermal analysis / heat source parameters / optimization model / finite element analysis

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张红卫, 桂良进, 范子杰. 焊接热源参数优化方法研究及验证[J]. 清华大学学报（自然科学版）. 2022, 62(2): 367-373 https://doi.org/10.16511/j.cnki.qhdxxb.2021.25.011
ZHANG Hongwei, GUI Liangjin, FAN Zijie. Research and verification of welding heat source parameter optimization model[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(2): 367-373 https://doi.org/10.16511/j.cnki.qhdxxb.2021.25.011

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基金

清华大学校企合作项目（20182000006）

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