Virtual simulation of weld morphology for V-groove multi-layer welding

被引:3
作者
Li, Shichun [1 ,2 ]
Zhou, Feisi [2 ]
Ou, Min [2 ]
Cai, Wenjing [2 ]
Xiao, Gang [1 ,2 ]
Chen, Changqing [2 ,4 ]
Yang, Zhi [2 ,3 ]
Wei, Hua [3 ]
Zhang, Hua [1 ,2 ]
机构
[1] Hunan Univ Sci & Technol, Hunan Prov Key Lab High Efficiency & Precis Machin, Xiangtan 411201, Hunan, Peoples R China
[2] Hunan Univ Sci & Technol, Sch Mech Engn, Xiangtan 411201, Hunan, Peoples R China
[3] Hunan Elect Coll Technol, Coll Automot Engn, Xiangtan 411101, Hunan, Peoples R China
[4] Hunan City Univ, Sch Mech & Elect Engn, Yiyang 413000, Hunan, Peoples R China
关键词
Multi-layer welding; Process parameter; Weld morphology prediction; Reconstruction model; Virtual simulation; OPTIMIZATION;
D O I
10.1016/j.mtcomm.2024.108593
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to study the virtual simulation of weld morphology for V-groove multi-layer welding, the prediction of characteristic parameters for weld morphology was realized by constructing the neural network models between the characteristic parameters and process parameters of different layers. At the same time, the virtual models of different layers were established according to the characteristic parameters of weld morphology and the structure parameters of V-groove. Combined with the prediction model and the virtual model, the process parameters were associated with the weld morphology, and the virtual simulation of weld morphology was realized. In the process of establishing the virtual model, first of all, the virtual model of root weld is established. Then, the virtual model of filling layer is established based on the root layer, and the virtual model of weaving layer is established based on the filling layer. Finally, validation experiments were carried out to verify the accuracy of the model. Verification results show that the prediction model can effectively predict the characteristic parameters of each layer, and the average relative errors of melting depth and width were less than 8%. The virtual simulation morphology has a high consistency with the actual morphology, and the average relative error of cross section area was less than 10%.
引用
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页数:13
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[21]   Numerical investigation of thermal behavior and melt pool morphology in multi-track multi-layer selective laser melting of the 316L steel [J].
Waqar, Saad ;
Sun, Qidong ;
Liu, Jiangwei ;
Guo, Kai ;
Sun, Jie .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 112 (3-4) :879-895
[22]   Experimental and numerical simulation study of a novel double shell-passes multi-layer helically coiled tubes heat exchanger [J].
Yuan, Yuyang ;
Cao, Jiaming ;
Zhang, Zhao ;
Xiao, Zhengyan ;
Wang, Xuesheng .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2024, 227
[23]   Prediction of welding residual stress and distortion in multi-layer butt-welded 22SiMn2TiB steel with LTT filling metal [J].
Sun, Zhen ;
Yu, Xinghua .
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2022, 18 :3564-3580