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Title:Research on optimization of process parameters for self-piercing riveting of steel-aluminium dissimilar materials based on response surface method
Authors: Wang Duanyi 
Unit: Jiangsu Vocational Institute of Architectural Technology Beijing Institute of Technology 
KeyWords: steel-aluminium dissimilar materials  self-piercing riveting response surface method  interlocking length riveting speed 
ClassificationCode:TG386
year,vol(issue):pagenumber:2019,44(12):65-69
Abstract:

For self-piercing riveting of steel-aluminium dissimilar sheets on electric vehicles, the finite element model of self-piercing riveting for DC03 steel plate with 1.5 mm thickness and 6016-T4 aluminum plate with 1 mm thickness was established by software Deform-2D. Then, the die depth, die width and riveting speed were taken as the influencing factors, and the interlocking length was taken as the optimization objective, the process parameters of self-piercing riveting for steel-aluminum dissimilar sheets were optimized by response surface method. The results show that the interaction between riveting speed and die width has the greatest impact on the interlocking length, followed by the interaction between die width and die depth, and the interaction between riveting speed and die depth is the smallest. Therefore, the optimized process parameters of self-piercing riveting for dissimilar sheets between DC03 steel and 6016-T4 aluminium are the riveting speed of 40 mm·s-1, the die width of 9.77 mm, the die depth of 1.69 mm and the response value of interlocking length of 0.616 mm. Furthermore, the experiment of the optimized process parameters combination scheme is conducted, and the experiment value of interlocking length is 0.547 mm by measurement. Thus, the relative error between the optimized value of response surface and the experimental value is 11.2% to provide a reference for the actual production of enterprises.
 

Funds:
国家自然科学基金资助项目(61801198);2018年高等职业教育高水平骨干专业-机电一体化技术项目(90151222918005);江苏建筑职业技术学院2019科研项目
AuthorIntro:
王端义(1976-),男,硕士,副教授 E-mail:519047033@qq.com
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