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Published in: The International Journal of Advanced Manufacturing Technology 1-2/2020

09-08-2020 | ORIGINAL ARTICLE

Multiphysics simulation of the resistance spot welding detection using electromagnetic ultrasonic transverse wave

Authors: Shanyue Guan, Ximing He, Xiaokai Wang, Lin Hua

Published in: The International Journal of Advanced Manufacturing Technology | Issue 1-2/2020

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Abstract

Resistance spot welding (RSW) quality substantially influences the autobody’s mechanical properties and safety performance. Nondestructive testing (NDT) method is widely used to evaluate the quality of RSW, but the traditional ultrasonic testing method has high requirements for coupling conditions and flat surface of the weld part. The electromagnetic acoustic transducer (EMAT) is a novel NDT technology, which has advantages of noncontact, no coupling media, and low requirements for surface flatness of the workpiece. Therefore, the electromagnetic ultrasonic transverse wave (EUTW) is developed to realize the evaluation of RSW quality in this paper. Under the COMSOL platform, the finite element method (FEM) modeling is proposed by multiphysics simulation. The multiphysical fields include electromagnetic field, acoustic field, and solid mechanics. The generation mechanism and propagation rules of EUTW in various spot welds are studied by simulation analysis. The correctness of FEM modeling is validated by EUTW experiments; results show that the experimental waveforms of EUTW are consistent with the simulation waveforms. Finally, an evaluation method of the nugget size of RSW is proposed based on the simulation and experiments analysis of EUTW detection of RSW with different nugget diameter and indentation depth. The approach presented in this paper can provide the theoretical foundation and new method for the noncontact, high efficient, and low-cost detection of RSW quality of the autobody.

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Metadata
Title
Multiphysics simulation of the resistance spot welding detection using electromagnetic ultrasonic transverse wave
Authors
Shanyue Guan
Ximing He
Xiaokai Wang
Lin Hua
Publication date
09-08-2020
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 1-2/2020
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-05809-6

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