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Title:Optimization on rivetless connection process based on intelligent algorithm
Authors: Deng Changyong Xiao Guiqian 
Unit: Chongqing Technology and Business Institute Chongqing University 
KeyWords: rivetless connection  genetic algorithm  collaborative optimization  parametric model  strength optimization 
ClassificationCode:TG376
year,vol(issue):pagenumber:2020,45(6):204-210
Abstract:

In order to solve the joint strength optimization problem of rivetless connection, the mathematical model of joint strength was established, and an optimization strategy based on genetic algorithm and real-time collaborative simulation of software CAD and CAE was proposed. In this method, the geometric parametric model of die was built by software UG, and the joint forming process was calculated by Deform. Then, the joint strength was calculated by the joint strength calculation formula and regarded as the optimization index. Finally, the use of genetic algorithm for intelligent control maximized the joint strength. Furthermore, the 6061-T4 aluminum alloy plate with the thickness of 1.4 mm was used to optimize the test, and the better die and joint shapes were obtained. In order to test the optimization effect of this algorithm, the optimized die was tested for connection. The joint shape of 6061-T4 aluminum alloy plate with the thickness of 1.4 mm was similar to that of optimized simulation, and the joint had high strength. The results show that the optimization algorithm has significant effect on improving the joint strength.

Funds:
重庆市教育委员会科学技术研究资助项目(KJQN201804008);重庆市高等学校青年骨干教师项目(2016-46)
AuthorIntro:
邓长勇(1982-),男,硕士,副教授 E-mail:dengcy1982@163.com
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