Transactions of Materials and Heat Treatment

Title：Optimization on self-piercing riveted performance of aluminum alloy plate part based on response surface and genetic algorithm

Authors：

Unit：

KeyWords：

ClassificationCode：TG386.1

year,vol(issue):pagenumber：2021,46(5):57-63

Abstract：

In order to improve the performance of self-piercing riveting joint, a multi-objective optimization method combining the second-order response surface model and the archive micro genetic algorithm was proposed. Then, the principle and process of self-piercing riveting were introduced, and a multi-objective optimization model was established to improve undercut amount, residual thickness and bottom thickness of joint. Furthermore, the mold parameters to be optimized were selected, and the sensitivity of mold parameters was analyzed based on range analysis and main effect diagram. Based on the central composite experimental design method and the second-order response surface method, the functional relationship between mold parameters and quality parameters was fitted, and the fitting accuracy of the second-order response surface was higher through the verification of determination coefficient and modified determination coefficient. Finally, the multi-objective optimization model was solved by the archive micro genetic algorithm, and the optimized mold parameters were obtained. Compared with the factory self-piercing riveting joint, the optimized undercut amount of joint increases by 10.00%, the bottom thickness increases by 8.61%, the residual thickness increases by 3.11%, and the tensile shear capacity increases by 5.68%. Thus, the above data show that the performance of self-piercing riveting joint is effectively improved after optimization.

Funds：

中国交通教育研究会教育科学研究课题（交教研1802-129）

卢秋霞（1983-），女，硕士，讲师 E-mail：luqiuxia_123@163.com

Reference：

[1]叶雨寒,袁艺宁,刘庆涛,等. 汽车车身铝合金连接构件的拉伸试验分析[J].锻压技术,2020,45(4):189-194.

Ye Y H, Yuan Y N, Liu Q T, et al. Tensile test analysis of aluminum alloy connection part in automobile body [J]. Forging & Stamping Technology, 2020, 45(4):189-194.

[2]Hague R. Quality of self-piercing riveting (SPR) joints from cross-sectional perspective: A review[J]. Archives of Civil and Mechanical Engineering, 2018, 18(1): 83-93.

[3]Carandente M, Dashwood R J, Masters L G, et al. Improvements in numerical simulation of the SPR process using a thermo-mechanical finite element analysis[J]. Journal of Materials Processing Technology, 2016, 236: 148-161.

[4]Chung C S, Kim H K. Fatigue strength of self-piercing riveted joints in lap-shear specimens of aluminum and steel sheets[J]. Fatigue & Fracture of Engineering Materials & Structures, 2016, 39(9): 1105-1114.

[5]徐纪栓. 钢铝自冲铆连接接头失效仿真研究[D].长春:吉林大学，2018.

Xu J S. Simulation Study on Failure of Self-piercing Riveted Joints between Steel and Aluminum [D]. Changchun: Jilin University, 2018.

[6]余康，邢保英，何晓聪，等. AA5052自冲铆接头成形质量及其静力学性能研究[J]. 塑性工程学报，2018, 25(3): 143-147.

Yu K, Xing B Y, He X C, et al. Study on forming quality and static performance of AA5052 self-piercing riveting joint [J]. Journal of Plasticity Engineering, 2018, 25(3): 143-147.

[7]魏文杰,何晓聪,张先炼,等. DP780/AA6061薄板自冲铆接头微动损伤特性[J].机械工程学报,2020,56(6):169-175.

Wei W J, He X C, Zhang X L, et al. Characteristics of fretting damage in hybrid DP780/AA6061 self-piercing riveted joints [J]. Journal of Mechanical Engineering, 2020, 56(6):169-175.

[8]王端义. 响应曲面法优化钢铝异种材料自冲铆接工艺参数的研究[J].锻压技术,2019,44(12):65-69, 76.

Wang D Y. Research on optimization of process parameters for self-piercing riveting of steel-aluminum dissimilar materials based on response surface method [J]. Forging & Stamping Technology, 2019, 44(12):65-69, 76.

[9]GB/T 228—2010，金属材料拉深试验室温拉伸试验方法[S].

GB/T 228—2010, Metallic materials—Tensile testing—Method of test at ambient temperature[S].

[10]易润华,邓黎鹏. 304不锈钢薄板储能缝焊工艺参数优化[J].热加工工艺,2019,48(17):172-174.

Yi R H, Deng L P. Process parameters optimization of energy storage seam welding of 304 stainless steel sheet [J]. Hot Working Technology, 2019, 48(17):172-174.

[11]陈实现,蒋大名,马芳武,等. 基于中心复合设计的金属-塑料连接强度分析[J].中国公路学报,2019,32(9):175-182.

Chen S X, Jiang D M, Ma F W, et al. Analysis of bonding strength of metal-plastic adhesion based on central composite design [J]. China Journal of Highway and Transport, 2019, 32(9):175-182.

[12]唐林,许志沛,贺田龙,等. 基于响应面法的多节伸缩臂设计优化[J].机械设计与制造,2020,(2):83-86.

Tang L, Xu Z P, He T L, et al. Optimization design of telescopic booms based on respond surface method [J]. Machinery Design & Manufacture, 2020, (2):83-86.

[13]甄春博,英扬,王天霖,等. 基于组合算法的碟形水下滑翔机结构稳健优化[J].华中科技大学学报：自然科学版,2019,47(2):87-91.

Zhen C B, Ying Y, Wang T L, et al. Robust optimization of round dish-shaped underwater glider′s pressure structure based on combinatorial optimization method [J]. Journal of Huazhong University of Science and Technology: Natural Science Edition, 2019, 47(2):87-91.

Service：

【This site has not yet opened Download Service】【Add Favorite】