{"title":"The frame optimization and validation of resistance spot welding gun","authors":"Ji Hong, Kwang-Hee Lee, Chul-Hee Lee","doi":"10.1051/smdo/2020016","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":37601,"journal":{"name":"International Journal for Simulation and Multidisciplinary Design Optimization","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Simulation and Multidisciplinary Design Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/smdo/2020016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).
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