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Title:Optimization on installation process parameters for blind rivet based on genetic algorithm
Authors: He Biao Mo Ningning Feng Zhiguo 
Unit: (College of Mechanical Engineering  Guizhou University  Guiyang 550025  China) 
KeyWords: TA1 titanium alloy  thin-walled rivet  bulge  genetic algorithm  blind rivet 
ClassificationCode:TG146
year,vol(issue):pagenumber:2024,49(12):130-136
Abstract:

 In order to improve the forming quality of TA1 titanium alloy thin-walled rivet bulge, the installation process parameters of blind rivets were optimized by response surface method and genetic algorithm algorithms, and the influences of interlayer thickness H, core rod stroke S, interlayer aperture D and core rod speed V on bulge diameter L and core rod tensile force F were analyzed by Box-Behnken design method. Then, the regression models were established to predict the bulge diameter L and the core rod tensile force F were analyzed. Furthermore, the compression parameters of TA1 titanium alloy thin-walled rivet bulge were optimized by genetic algorithm with the optimization goal of minimizing the core rod tensile force, while ensuring that the bulge diameter was not less than 6 mm. The results show that the interlayer thickness H has the most significant effect on the bugle diameter L, followed by the core rod stroke S and the interlayer aperture D, while the core rod speed V is not significant. The four factors have the significant influences on the core rod tensile force F. The optimal parameters of H=4 mm, S=2.9 mm, D=4.22 mm, and V=5 mm·s-1  for the forming quality of TA1 titanium alloy thin-walled rivet bulge are obtained. The numerical simulation results obtained by DEFORM-3D also confirm that the optimized process parameters combination ensures the bulging quality.

 
Funds:
基金项目:贵州省优秀青年人才项目(黔科合平台人才[2021]5617号);贵阳市科技人才培养项目(筑科合同[2021] 43-1号);贵州省科技支撑项目(黔科合支撑[2023]一般308);贵大人字合基字(2022)09号
AuthorIntro:
作者简介:何彪(1977-),男,硕士,讲师 E-mail:458500012@qq.com 通信作者:冯治国(1978-),男,博士,教授 E-mail:zgfeng@gzu.edu.cn
Reference:

 
[1]Li S P,Zhang S G, Li H,et al. Numerical and experimental investigation of fitting tolerance effects on bearing strength of CFRP/Al singlelap blind riveted joints
[J].Composite Structures,2022,281:115022.


 


[2]Qin Y F,Liao Y X,Li G Y,et al.Numerical simulation and parameter analysis of electromagnetic riveting process for Ti-6Al-4V titanium rivet
[J].Coatings,2021,11(8):878.

 


[3]Wang S,Li Y,Yang Y,et al.Resistance element welding of 7075 aluminum alloy to Ti6Al4V titanium alloy
[J].Journal of Manufacturing Processes,2021,70:300-306.

 


[4]Wu F,Chen Y T, Zhao S Q,et al. Compression and energy absorption characteristics of additively manufactured reticulated tubes filled with spherical reticulated shells under axial crushing
[J]. Composite Structures,2022,288:115415.

 


[5]陈刘静,李兰云,李霄,等.厚壁钛管轴向压缩塑性的应力-应变关系
[J].中国有色金属学报,2016,26(10):2093-2101.

 

Chen L J,Li L Y,Li X,et.al.Plastic stress-Strain relationship of thickwalled titanium alloy tube under compressive stress state
[J].The Chinese Journal of Nonferrous Metals,2016,26(10):2093-2101.

 


[6]沈柳峰. 退火工艺对CR235LA变壁厚薄壁管力学性能和轴向压溃性能影响
[D].秦皇岛:燕山大学,2022.

 

Shen L F. Effect of Annealing Process on Mechanical Properties and Axial Compression of CR235LA Tailor Rolled Tube with Variable Wall Thickness
[D]. Qinhuangdao:Yanshan University,2022.

 


[7]吴秀敏. 非均匀温度场下薄壁管材轴压失稳起皱行为研究
[D].太原:太原理工大学,2022.

 

Wu X M. Research on Wrinkling Behavior of Thinwalled Tube with Axial Pressure Instability under Nonuniform Temperature Field
[D]. Taiyuan:Taiyuan University of Technology,2022.

 


[8]黄伟,古忠涛,陈薄,等.TC4钛合金连接板抽芯铆接数值模拟
[J].锻压技术,2023,48(11):95-103.

 

Huang W,Gu Z T,Chen B,et al. Numerical simulation on core riveting for TC4 titanium alloy connecting plate
[J]. Forging & Stamping Technology, 2023,48(11):95-103.

 


[9]邓将华,唐超,李春峰,等.TA1本构模型的确定
[J].塑性工程学报,2012,19(6):114-117.

 

Deng J H,Tang C,Li C F,et al. Determination of TA1 constitutive relation
[J].Journal of Plasticity Engineering,2012,19(6):114-117.

 


[10]Patnaik L,Maity S R,Kumar S.Modeling of wear parameters and multicriteria optimization by BoxBehnken design of AlCrN thin film against gammairradiated Ti6Al4V counterbody
[J].Ceramics International,2021,47(14): 20494-20511.

 


[11]Algin H M.Optimised design of jetgrouted raft using response surface method
[J].Computers & Geotechnics,2016,74(4):56-73.

 


[12]Zhao X D,Zhang X J,Cheng B,et al. Cooptimization of magnetic abrasive finishing behaviors of zirconium tube surfaces with Fe-6.5 wt% Si/SiC abrasives using BP neural network and response surface methodology
[J].Materials Today Communications,2024,38:107901.

 


[13]Selvarajan L,Venkataramanan K,Senthilkumar T S.Experimental investigation and optimization of EDM performance measures of MoSi2-SiC intermetallic ceramic composite using RSM with regression equations
[J].Silicon,2023,15(4):1747-1769. 

 


[14]Bindhushree S B,Shanmuganatan P S,Saravanabavan D,et al.An investigation of process parameter influences on dissimilar friction stir welding of cast aluminum alloy joints
[J].Materials and Manufacturing Processes,2024,39(2):188-206. 

 


[15]Saran Raj I, Ganesan S.Process parameter analysis of deep cryogenic treated EN 52 Silicon chromium valve steel through Taguchi technique
[J].Materials and Manufacturing Processes,2022,37(16):1805-1811.

 


[16]Wei G, Peng X, Hadadzadeh A,et al. Constitutive modeling of Mg-9Li-3Al-2sR-2Y at elevated temperatures
[J].Mechanics of Materials,2015,89:241- 253.

 


[17]Xu H Z,Zhao B,Lu X,et al. A modified JohnsonCook constitutive model for the compressive flow behaviors of the snsbcu alloy at high strain rates
[J].Journal of Materials Engineering and Performance,2019,28 (11):6958-6968.

 


[18]Hossein M G,Majid M,Shamsi A S,et al. Investigation of the effects of process parameters on hydrodynamic deep drawing of AL-1050 sheet with indentations using genetic algorithmbased optimization
[J].The International Journal of Advanced Manufacturing Technology,2023,129(9-10):3949-3964. 

 
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