CO2气体保护焊的焊缝形貌建模及虚拟化仿真系统开发
Modeling and Virtual Simulation System Development of Weld Morphology in CO2 Gas Shielded Welding
摘 要
建立了CO2气体保护焊工艺参数与焊缝几何尺寸（熔宽、熔深）之间的多层感知机神经网络预测模型，并基于焊接试验数据训练模型，确定了模型的数学解析式；通过分析焊缝截面和表面形貌特征，建立焊缝形貌的虚拟化仿真模型；通过python编程开发了焊缝形貌预测与虚拟化仿真系统。结果表明：所建立的多层感知机神经网络预测模型对熔宽预测的最大偏差为0.097 mm，模型拟合优度为0.999 269，对熔深预测的最大偏差为0.051 mm，模型拟合优度为0.999 567；建立了以焊缝熔深和熔宽为输入变量的焊缝截面形貌数学模型和以焊缝熔宽为输入变量的表面形貌数学模型。
多层感知机神经网络模型
焊缝形貌建模
虚拟化仿真系统
CO2 gas shielded welding
multi-layer perceptron neural network model
weld morphology modeling
virtual simulation system
Abstract
A multi-layer perceptron neural network prediction model between the process parameters of CO2 gas shielded welding and the weld geometry (melting width and depth) was established, and the mathematical analytic formula of the model was determined based on the welding test data training the model. The virtual simulation model of weld morphology was established by analyzing the characteristics of weld section and surface morphology. The weld morphology prediction and virtualization simulation system was developed by python programming. The results show that the maximum deviation for predicting melting width with the established multi-layer perceptron neural network prediction model was 0.097 mm with a model fitting coefficient of 0.999 269, and that for predicting melting depth was 0.051 mm with a model fitting coefficient of 0.999 567. The mathematical model of weld section morphology with melting depth and melting width as input variables and the mathematical model of surface morphology with melting width as input variables were established.
中图分类号 TG409 DOI 10.11973/jxgccl202311012
所属栏目 物理模拟与数值模拟
基金项目 国家自然科学基金资助项目（52075159）；江西省自然科学基金资助项目（20224ACB218002）；江西省高层次高技能领军人才培养工程资助项目；湖南省自然科学基金资助项目（2022JJ30019）；湖南省教育厅科学研究项目（21A0301）；广西大学省部共建特色金属材料与组合结构全寿命安全国家重点实验室开放基金资助项目（2022GXYSOF24）
收稿日期 2022/10/20
修改稿日期 2023/9/8
网络出版日期
作者单位点击查看
备注肖罡(1983-),男,江西九江人,教授,博士
引用该论文: XIAO Gang,OU Min,LI Shichun,WAN Keqian,ZHOU Feisi,YANG Qinwen. Modeling and Virtual Simulation System Development of Weld Morphology in CO2 Gas Shielded Welding[J]. Materials for mechancial engineering, 2023, 47(11): 67～73
肖罡,欧敏,李时春,万可谦,周妃四,杨钦文. CO2气体保护焊的焊缝形貌建模及虚拟化仿真系统开发[J]. 机械工程材料, 2023, 47(11): 67～73
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【3】谢本凯,张笑笑,蔡水涌,等.虚拟焊接训练技术研究进展[J].焊接,2022(5):43-51. XIE B K,ZHANG X X,CAI S Y,et al.Research progress on virtual welding training technology[J].Welding & Joining,2022(5):43-51.
【4】刘红先.CO2气体保护焊焊接工艺参数分析[J].科技传播,2014,6(19):120-121. LIU H X.Analysis of welding process parameters of CO2 gas shielded welding[J].Public Communication of Science & Technology,2014,6(19):120-121.
【5】赵维艳,张敏,崔志峰.焊接工艺参数对CO2气体保护焊焊接质量的影响[J].焊接技术,2013,42(9):74-75. ZHAO W Y,ZHANG M,CUI Z F.Influence of welding process parameters on welding quality of CO2 gas shielded welding[J].Welding Technology,2013,42(9):74-75.
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【7】葛佳棋,万升云,汤旭祥,等.GMAW自动焊工艺参数对焊缝成形影响研究[J].金属加工(热加工),2022(6):45-48. GE J Q,WAN S Y,TANG X X,et al.Study on the influence of GMAW automatic welding process parameters on weld formation[J].MW Metal Forming,2022(6):45-48.
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