The frame optimization and validation of resistance spot welding gun

Q3 Mathematics

International Journal for Simulation and Multidisciplinary Design Optimization Pub Date : 2020-09-01 DOI:10.1051/smdo/2020016

Ji Hong, Kwang-Hee Lee, Chul-Hee Lee

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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.

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电阻点焊焊枪的结构优化与验证

电阻点焊枪通常用于粘合汽车和消费电子行业的零件。在汽车工业中，底盘组装操作使用电阻点焊。高生产速度允许大批量生产和自动化，导致电阻点焊的多种用途。为了实现焊接过程的自动化，将其安装在多关节机器人上，并根据机器人的规格设计焊枪。为了防止加压过程中的变形，需要进行高强度的结构设计，但焊枪的重量会影响机器人的工作效率。为此，有必要设计一种刚度高、重量轻的焊枪。在本研究中，对焊枪的应力和变形量进行了测量分析。采用遗传算法和拓扑优化方法进行减重优化。对电阻点焊枪架进行了优化，并通过实验验证了优化模型的正确性。焊枪的高刚度和轻量化降低了工业生产成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal for Simulation and Multidisciplinary Design Optimization Mathematics-Control and Optimization

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

16 weeks

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.).