Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Integrated Monitoring System for Resistance Spot Welding on Stainless Steel Vehicle

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

Resistance spot welding is the most important welding process used for stainless steel vehicle manufacturing. However, resistance spot welding has a major problem of inconsistent quality from weld to weld, which results from both complexity of basic process as well as from various process conditions, noise, and errors. Therefore, welding quality is critical in stainless steel vehicle manufacturing. Real-time monitoring and visualization of dynamic signals during resistance spot welding process are helpful to online welding quality evaluation. In this study, through using modern sensor technology and computer monitoring technology, an on-line monitoring system of electrical and mechanical signals was established to monitor welding current, voltage between electrodes, dynamic resistance, and dynamic electrode force during resistance spot welding. A software was designed to monitor various signals, display curves, store and inquire welding information based on the technologies of Visual C++ .NET, Measurement Studio, and Access database. This integrated welding monitoring system has been successfully used for automatic spot welding of some model vehicle and became an important auxiliary quality evaluation measure for welding operators and quality inspectors.

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REFERENCES

Chien, C. S., and Stahl, Kannateyasibu E. (2002), “Investigation of monitoring systems for resistance spot welding.” Welding J., 81(9), 195s-199s.
Dickinson, D. W., Franklin, J. E., and Stanya, A. (1980), “Characterization of spot welding behavior by dynamic electrical parameter monitoring.” Welding J., 59(6), 170s-176s.
Ji, C. T., and Zhou, Y. (2004), “Dynamic electrode force and Displacement in resistance spot welding of Aluminum.” ASME J. Manu. Sci. Eng., 126, 605-610.
Wen, J., Zhang, X.D., Xu, G.C., and Wang, C.S. (2009), “Quality estimation of resistance spot welding of stainless steel based on BP neural network.” China Welding, 18(3):16-20.
Wen, J., Wang, C.S., Xu, G. C., and Zhang, X. Q. (2009), “Real Time Monitoring Weld Quality of Resistance Spot Welding for Stainless Steel” ISIJ International, 49(4), 553-556.
Xu, G.C., Wen, J., Wang, C.S., and Zhang, X.Q. (2009), “Quality Monitoring for Resistance Spot Welding using Dynamic Signals.” Proceeding of the 2009 IEEE: 2495-2499.

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Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 362 - 368
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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School of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai, China. E-mail: [email protected]
Shanghai Aerospace Equipment Manufacturer Co., Ltd., Shanghai, China. E-mail: [email protected]
Chunsheng Wang [email protected]
Technology Center, Changchun Railway Vehicles Corporation, Changchun, China. E-mail: [email protected]

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