锻压技术

基于改进TOPSIS-灰色关联分析的QSn7-0.2锡青铜变薄拉深多目标优化

英文标题：Multi-objective optimization on ironing of QSn7-0.2 tin bronze based on improved TOPSIS-grey correlation analysis

作者：申博1 郭文孝2 3

单位：1.山西水利职业技术学院机电工程系 2.中国煤炭科工集团太原研究院有限公司 3.山西天地煤机装备有限公司

关键词：QSn7-0.2锡青铜 TOPSIS-灰色关联分析 CRITIC法变薄拉深拉深力

分类号：TG376

出版年,卷(期):页码：2024,49(10):129-136

摘要：

为提高QSn7-0.2锡青铜连杆衬套变薄拉深成形质量、实现降本增效,将优劣解距离法（TOPSIS）与灰色关联分析法相结合，提出一种改进TOPSIS-灰色关联分析多目标评价体系，以QSn7-0.2锡青铜连杆衬套为研究对象，选定变薄率、凹模锥角、拉深速度、摩擦因数为工艺因素变量，设计4因素5水平正交试验，并在ABAQUS软件中进行变薄拉深工艺数值模拟分析。以成形件屈服强度、抗拉强度、残余应力、拉深力为综合优化目标，利用CRITIC法对多个优化目标权重进行客观赋值，将多目标优化问题转换为单目标优化问题，最终获得QSn7-0.2锡青铜变薄拉深最优工艺参数组合为：变薄率为42%、凹模锥角为9°、拉深速度为16 mm·s-1、摩擦因数为0.15。最优工艺参数组合下工件的屈服强度为587 MPa、抗拉强度为643 MPa、残余应力为173 MPa、拉深力为626 kN，成形质量更优更均衡。

In order to improve the quality of ironing for QSn7-0.2 tin bronze connecting rod bushing and achieve cost reduction and efficiency improvement, combining the technique for order preference by similarity to an ideal solution (TOPSIS) with grey relation analysis, an improved TOPSIS-grey relation analysis multi-objective evaluation system was proposed. Then, for QSn7-0.2 tin bronze connecting rod bushing, taking thinning rate, die cone angle, deep drawing speed and friction factor as process factor variables, the orthogonal test of four factors and five levels was designed, and the numerical simulation analysis on ironing process was carried out by software ABAQUS. Furthermore, taking yield strength, tensile strength, residual stress and deep drawing force of forming parts as the comprehensive optimization objectives, the weights of multiple optimization objectives were objectively assigned by CRITIC method, and the multi-objective optimization problem was converted into a single objective optimization problem. Finally, the optimal process parameters for QSn7-0.2 tin bronze ironing are obtained as the thinning rate of 42%, the die cone angle of 9°, the deep drawing speed of 16 mm·s-1 and the friction factor of 0.15. Under the optimal combination of process parameters, the yield strength, tensile strength, residual stress and deep drawing force of workpiece are 587 MPa, 643 MPa, 173 MPa and 626 kN, respectively, and the forming quality is better and more balanced.

基金项目：

国家重点研发计划（2022YFB4703604）；山西省专利转化专项计划项目（202305002）；新工科背景下校企融合物联网机电人才培养模式研究项目（DZ24156）

作者简介：申博（1984-），男，硕士，讲师,E-mail：61359199@qq.com

参考文献：

[1]南海, 端木樊杰, 李静媛, 等. 变薄拉深对430不锈钢表面起皱的影响[J]. 钢铁, 2019, 54 (1): 56-62.

Nan H, Duanmu F J, Li J Y, et al. Effect of thinning drawing on surface ridging of 430 stainless steel [J]. Iron and Steel, 2019, 54 (1): 56-62.

[2]肖善超. 弹壳多模一次连续变薄拉深工艺研究[D]. 秦皇岛: 燕山大学, 2012.

Xiao S C. Research on Multi-mode-one-off Ironing Process for Cartridge Case[D]. Qinhuangdao：Yanshan University, 2012.

[3]李彦波, 刘荣丰, 刘红武, 等. 基于JSTAMP/NV的AA5042 薄壁筒形件变薄拉深仿真[J]. 计算机辅助工程, 2012, 6(21):68-71.

Li Y B，Liu R F，Liu H W，et al. Ironing simulation on AA5042 thin wall cylindrical work-piece based on JSTAMP/NV[J]. Computer Aided Engineering,2012, 6(21):68-71.

[4]王俊彪, 贾建军. 多道次变薄拉深的模拟与优化设计[J]. 西北工业大学学报, 1997,3(15): 348-354.

Wang J B, Jia J J. The simulation and optimization of multistep lroning process [J]. Journal of Northwestern Polytechnical University, 1997, 3(15): 348-354.

[5]吴晟, 张跃.铝合金瓣状盒冲压工艺设计及数值分析[J]. 模具制造, 2016, 16(10):34-38.

Wu S, Zhang Y. Design of stamping process and numerical analysis for aluminum petal-shape box based on orthogonal experiments [J]. Die & Mould Manufacture, 2016, 16(10):34-38.

[6]Adamovic D, Mandic V, Jurkovic Z, et al. An experimental modelling and numerical FE analysis of steel-strip ironing process[J]. Tehnicki Vjesnik-Technical Gazette, 2010, 17(4), 435-444.

[7]张雄超,陈磊,肖寒,等.半固态触变反挤压锡青铜的组织演变和力学性能[J].稀有金属材料与工程,2022,51(6):2240-2249.

Zhang X C, Chen L, Xiao H, et al. Microstructure evolution and mechanical properties of semi-solid thixotropic reverse extrusion tin bronze [J]. Rare Metal Materials and Engineering, 2022,51(6):2240-2249.

[8]王亚飞. 去应力退火对强力旋压锡青铜筒形件残余应力、组织及性能影响[D].太原：中北大学,2021.

Wang Y F. Effect of Stress Removing Annealing on Residual Stress, Microstructure and Properties of Strongly Rotated Tin Bronze Cylindrical Parts[D]. Taiyuan：North University of China, 2021.

[9]肖寒, 崔鋆昕, 熊迟, 等.退火温度对触变挤压锡青铜轴套组织性能的影响[J].稀有金属材料与工程, 2021,50(11):4119-4127.

Xiao H, Cui Y X, Xiong C, et al. Effect of annealing temperature on microstructure and properties of thixo-extruded tin bronze bushing [J]. Rare Metal Materials and Engineering, 2021,50(11):4119-4127.

[10]杨锋, 樊文欣, 汤传尧, 等.基于Simufact锡青铜连杆衬套错距旋压灰色关联度优化[J].特种铸造及有色合金, 2018,38(1):82-84.

Yang F, Fan W X, Tang C Y, et al. Optimization of the grey correlation degree of connecting rod bush and dip distance spinning based on Simufact software[J]. Special Casting & Nonferrous Alloys, 2018,38(1):82-84.

[11]王兴雷. 某H70弹壳体成形工艺数值模拟及实验研究[D]. 太原: 中北大学, 2023.

Wang X L. Numerical Simulation and Experimental Research on the Forming Process of a H70 Shell Body[D]. Taiyuan：North University of China, 2023.

[12]Hwang C L, Yoon K S. Multiple Attribute Decision Making[M]. Berlin: Spring-Verlag,1981.

[13]魏子茹,卢延辉,王鹏宇,等.基于CRITIC法的灰色关联理论在无人驾驶车辆测试评价中的应用[J].机械工程学报, 2021,57(12):99-108.

Wei Z R, Lu Y H, Wang P Y, et al. Application of grey correlation theory based on CRITIC method in autonomous vehicles test and evaluation [J]. Journal of Mechanical Engineering, 2021,57(12):99-108.

[14]胡涛,王栋,孙曜,等.基于改进CRITIC-LRA和灰色逼近理想解排序法的空战威胁评估[J].兵工学报,2020,41(12):2561-2569.

Hu T, Wang D, Sun Y, et al. Air combat threat assessment of improved CRITIC-LRA and grey TOPSIS [J]. Acta Armamentarii, 2020,41(12):2561-2569.

[15]信桂新, 杨朝现, 杨庆媛, 等. 用熵权法和改进TOPSIS 模型评价高标准基本农田建设后效应[J]. 农业工程学报, 2017, 33(1): 238-249.

Xin G X, Yang C X, Yang Q Y, et al. Post-evaluation of well-facilitied capital farmland construction based on entropy weight method and improved TOPSIS model [J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(1): 238-249.

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