| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 11, 2020
|
|
|---|---|---|
| Article Number | 22 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/smdo/2020016 | |
| Published online | 25 September 2020 | |
Research Article
The frame optimization and validation of resistance spot welding gun
1
Department of Construction Machinery Engineering, Inha University 100 Inharo, Michuholgu, Incheon 22212, South Korea
2
Department of Mechanical Engineering, Inha University 100 Inharo, Michuholgu, Incheon 22212, South Korea
* e-mail: chulhee@inha.ac.kr
Received:
2
August
2019
Accepted:
1
September
2020
Resistance spot welding gun is generally used to bond parts in the automotive and consumer electronics industries. In the automotive industry, chassis assembly operations use resistance spot welding. High production speeds allow for mass production and automation, resulting in diverse uses of resistance spot welding. To automate the welding process, it is mounted on a multi-joint robot and the welding gun is designed considering the specifications of the robot. High-strength structural design is needed to prevent deformation during pressurization, but the weight of the weld gun affects the efficiency of the robot. For this reason, it is necessary to design a welding gun with high stiffness and light weight. In this study, the analysis is carried out to measure the stress and deformation amount of weld gun. Optimization for weight reduction is performed by genetic algorithm method and topology optimization. The optimization of the resistance spot weld gun frame is performed, and the optimized model is verified through experimental verification. The production cost of industry has been reduced through the high stiffness and light weight of welding gun.
Key words: Resistance spot welding gun / size optimization / topology optimization / structural stress / experimental validation
© J.-S. Hong et al., published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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