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Title:Strength prediction on self-piercing riveting joint for similar/dissimilar aluminum alloys based on response surface method
Authors: Lei Le1 2  Zhao Lun1  Gao Shanfeng2  Li Chengwang1  Lu Jiehao1  Liu Gaoyu1 
Unit: 1. Institute of Intelligent Manufacturing Technology  Shenzhen Polytechnic University   2. School of Automation and Software  Shanxi University 
KeyWords: 0Cr18Ni9 stainless steel  continuous multi-bend tube  NC bending  stress interference  virtual orthogonal test 
ClassificationCode:TH131.1
year,vol(issue):pagenumber:2024,49(4):146-152
Abstract:

 In order to find out the quantitative laws of self-piercing riveting test indexes and joint strength, and the optimal combination of each factor level to make effective prediction, the self-piercing riveting tests for Al1060, Al5754 and Al6061 aluminum alloy thin plates were conducted by Box-Behnken Design (BBD) response surface method. Then, taking the hardness of upper plate,  hardness of lower plate and length of rivets as the independent variables, and the failure load and energy absorption value as the response values, a multivariate nonlinear regression model for the strength prediction of self-piercing riveting joint was established. The test results show that the error of joint strength between predicted and test values is within 8%, which proves the reliability of the regression model. The variance analysis of the model shows that the hardnesses of upper and lower plates gave a positive correlation with the failure load of joint, and the length of rivet has a negative correlation with the failure load of joint. The interaction between the hardness of upper plate and the hardness of lower plate has a greater effect on the failure load and energy absorption of joint.

Funds:
国家自然科学基金资助项目 (12104324);高层次人才科研启动项目(6022310046k);深职院-新栋力超声波焊接技术研发中心项目(602331009PQ); 深圳市优秀科技创新人才培养项目(RCBS20210706092213010);广东省普通高校特色创新项目(504-6020210006T);博士后基金启动项目(6022331003K)
AuthorIntro:
作者简介:雷乐(1999-),男,硕士研究生 E-mail:leile319777@163.com 通信作者:赵伦(1988-),男,博士,副研究员 E-mail:zhaolun@szpt.edu.cn
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