Shape Optimization of Flat Clinching Tools by Combining Finite Element Simulation and Response Surface Method

Author:

Zhang Huiyang12,Chen Chao12

Affiliation:

1. Central South University Light Alloy Research Institute, , Changsha 410083 , China ;

2. Central South University State Key Laboratory of High Performance Complex Manufacturing, School of Mechanical and Electrical Engineering, , Changsha 410083 , China

Abstract

Abstract Flat clinched joints are increasingly being investigated due to the flat bottom surface. In the current study, the shape of the flat clinching tools was optimized to improve the joint strength. Experimental tests of flat clinching were carried out using different forming loads to provide validation data for finite element simulations. Cross-tension tests were conducted under quasi-static conditions to evaluate the mechanical characteristics of the joint samples. Multiple finite element models based on the response surface method were developed to obtain the functional relationship between the four tool parameters and neck area, as well as the functional relationship between the four parameters and undercut area, respectively. The geometric effects of the flat clinching tools on the neck and undercut areas were analyzed. A genetic algorithm was used to obtain a solution set that maximized both the neck and undercut areas. The cross-tension strength of the joint produced according to the best-tested solution was 1526 N, which was 13.7% higher than that of the pre-optimized joint. The optimization method in this study could effectively improve the joint strength of the flat clinching process.

Funder

National Natural Science Foundation of China

State Key Laboratory of High Performance Complex Manufacturing, Central South University

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. 平底无铆连接的材料流动行为及接头失效机理研究;Journal of Central South University;2023-12

2. Data Augmentation-Based Manufacturing Quality Prediction Approach in Human Cyber-Physical Systems;Journal of Manufacturing Science and Engineering;2023-09-11

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