Numerical Analysis on Welding Deformation and Residual Stress of an Aluminum Alloy Floor of EMU Bodywork

ICTE 2015 ◽  
2015 ◽  
Author(s):  
Jun Zhang ◽  
Siqun Ma ◽  
Min Zhao ◽  
Jianhua Wang ◽  
Wenzhong Zhao
2009 ◽  
Vol 407-408 ◽  
pp. 718-722
Author(s):  
Hong Feng Wang ◽  
Dun Wen Zuo ◽  
Li Tao Wang ◽  
Hong Miao ◽  
Hong Jun Wang

The mathematic model was established between finished surface residual stress and milling parameters by orthogonal regression testing. The rationality of the model was certified by FEM and test. The simulation hypothesis and process were verified by the model. The test showed that the model and FEM were feasible.


2018 ◽  
Vol 5 (4) ◽  
pp. 382-390 ◽  
Author(s):  
S.H. Lee ◽  
E.S. Kim ◽  
J.Y. Park ◽  
J. Choi

Abstract In the automotive industry, metal inert gas (MIG) of welding technology is widely used for automotive muffler fabrication. However, the muffler is distorted by thermal deformation during the welding process. In this paper, the prediction of MIG welding-induced deformation and residual stress are simulated by SYSWELD software. The cross-section shapes of the molten pool predicted by the numerical analysis are compared to the experimental results. In the results of the stress, while compressive stresses are produced in regions away from the weld, high tensile stresses are produced in regions near the weld. Deformation values are calculated as 2.5 mm. The location of the actual welding deformation was similar to the experimental results. Based on the results, the methods to optimize the welding procedure will be provided by SYSWELD to improve muffler productivity. Highlights The prediction of MIG welding-induced deformation and residual stress are simulated by SYSWELD software. The cross-section shapes of the molten pool predicted by the numerical analysis are compared to the experimental results. The location of the actual welding deformation are similar to the experimental results. Based on the results, the methods will be provided by SYSWELD to improve muffler productivity.


2015 ◽  
Vol 84 (1) ◽  
pp. 66-74
Author(s):  
Masahito MOCHIZUKI ◽  
Yoshiki MIKAMI ◽  
Shigetaka OKANO ◽  
Masakazu SHIBAHARA

1970 ◽  
Vol 20 (1) ◽  
pp. 7-13
Author(s):  
Eiji TANAKA ◽  
Katsuhiko HIRATA ◽  
Katsuji TAKEUCHI

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