锻压技术

镁合金3C产品薄壳件差温冲压工艺参数优化

英文标题：Optimization of differential temperature stamping process parameters for thin shell parts of 3C magnesium alloy products

作者：高孝书吕云

单位：宁夏职业技术学院陕西科技大学

关键词：镁合金 3C薄壳件差温冲压起皱开裂正交试验多目标粒子群优化算法

分类号：TG386

出版年,卷(期):页码：2021,46(8):77-83

摘要：

为了提升镁合金3C产品薄壳件的冲压成形性能，提出了将镁板温度和凸模温度引入优化过程，并采用正交试验和多目标粒子群优化（MPSO）算法相结合的方法优化冲压工艺。在正交试验的基础上，构造以开裂和起皱为目标函数的二次多项式响应面模型，通过多目标粒子群优化算法获得Pareto解集，再运用最小距离选解法获取多目标粒子群最优粒子Pm，即：凹模圆角半径Rc为6.90 mm、镁板温度Td为276.33 ℃、凸模温度Tp为64.69 ℃、压边力F为22004.14 N。经仿真和实验验证，多目标粒子群最优粒子Pm比正交试验最优样本的开裂目标函数Robj降低了22.96%，起皱目标函数Wobj降低了16.43%，说明该方法能够有效解决镁合金薄壳件差温冲压成形的多目标优化问题。

In order to improve the stamping formability of thin shell parts for 3C magnesium alloy products, the magnesium plate temperature and punch temperature were introduced into the optimization process, and the stamping process was optimized by the combination of orthogonal experiment and multi-objective particle swarm optimization (MPSO) algorithm. Then, on the basis of orthogonal experiments, a quadratic polynomial response surface model with cracking and wrinkling as the objective functions was constructed, and the Pareto solution set was obtained by multi-objective particle swarm optimization algorithm. Furthermore, the optimal particle Pm of multi-objective particle swarm was obtained by the minimum distance selection method, namely, the die fillet radius Rc is 6.90 mm, the magnesium plate temperature Td is 276.33 ℃, the punch temperature Tp is 64.69 ℃, and the blank holder force F is 22004.14 N. The simulation and experimental results show that the cracking objective function Robj for the optimal particle Pm of multi-objective particle swarm is 22.96% lower than that for the optimal sample in orthogonal experiment, and the wrinking objective function Wobj is reduced by 16.43%. It shows that this method can effectively solve the multi-objective optimization problem of differential temperature stamping for magnesium alloy thin shell parts.

基金项目：

宁夏自然科学基金资助项目（2020AAC03257）；宁夏重点研发计划（2018BEE03027）

高孝书（1986-），男，硕士，讲师 E-mail：2009017@nxtc.edu.cn 通信作者：吕云（1967-），男，博士，教授 E-mail：edu8428@163.com

参考文献：

［1］王忠堂, 张宏亮,杨君宝,等.镁合金网格壁板压弯成形数值模拟及实验研究
［J］.锻压技术,2020,45(3):14-19，69.

Wang Z T, Zhang H L, Yang J B, et al. Numerical simulation and experimental study on bending of magnesium alloy grid panel
［J］. Forging ＆ Stamping Technology,2020,45(3):14-19，69.

［2］孙光永, 李光耀,陈涛,等.多目标粒子群优化算法在薄板冲压成形中的应用
［J］.机械工程学报,2009,45(5):153-159.

Sun G Y, Li G Y, Chen T, et al. Application of multi-objective particle swarm optimization in sheet metal forming
［J］. Journal of Mechanical Engineering,2009,45(5):153-159.

［3］王钊, 魏鑫,黄瑶,等.基于响应面的汽车中立柱内板影响因素多目标优化
［J］.锻压技术,2020,45(7):46-50，65.

Wang Z, Wei X, Huang Y, et al. Multi-objective optimization on influencing factors for central pillar inner plate of automobile based on response surface
［J］. Forging ＆ Stamping Technology,2020,45(7):46-50，65.

［4］李奇涵, 景淑帆,高嵩,等.基于响应面法的22MnB5高强钢热冲压成形性优化
［J］.锻压技术,2020,45(6):93-101.

Li Q H, Jing S F, Gao S, et al. Optimization on hot stamping formability for 22MnB5 high strength steel based on response surface method
［J］. Forging ＆ Stamping Technology, 2020,45(6):93-101.

［5］王紫旻, 刘奇,顾瑞瑩,等.凹模温度对AZ31B镁合金板材冲压成形性能的影响
［J］.上海交通大学学报,2018,52(9):1092-1097.

Wang Z M, Liu Q, Gu R Y, et al. Formability of AZ31B magnesium alloy sheet under different die temperatures
［J］. Journal of Shanghai Jiaotong University,2018,52(9):1092-1097.

［6］Sun G Y, Li G Y, Gong Z H, et al. Radial basis functional model for multi-objective sheet metal forming optimization
［J］. Engineering Optimization，2011，43(12): 1351-1366.

［7］Kennedy J, Eberhart R. Particle swarm optimization
［A］.Proceedings of ICNN′95-International Conference on Neural Networks
［C］.Perth, WA, Australia：IEEE Press，1995.

［8］Raquel C R, Jr P. An effective use of crowding distance in multiobjective particle swarm optimization
［A］.Proceedings of the 7th Annual Conference on Genetic and Evolutionary Computation
［C］.Washington DC，USA：ACM Press，2005.

［9］Coello C A C, Pulido G T, Lechuga M S，et al．Handing multiple objectives with particle swarm optimization
［J］. Evolutionary Computation, 2004, 8(3):256-279.

［10］徐鹤鸣. 多目标粒子群优化算法的研究
［D］. 上海: 上海交通大学, 2013.

Xu H M. Research on Multi Objective Particle Swarm Optimization Algorithm
［D］. Shanghai: Shanghai Jiao Tong University, 2013.

［11］Nguyen D T, Yang S H, Jung D W, et al. A study on material modeling to predict spring-back in V-bending of AZ31 magnesium alloy sheet at various temperatures
［J］．The International Journal of Advanced Manufacturing Technology, 2012, 62(5-8): 551-562.

［12］Piotr B, Hakim N, Alain R, et al. Moving least squares response surface approximation：Formulation and metal forming applications
［J］. Computers and Structures, 2005, 83：1411-1428.

［13］么大锁, 赵凯芳,贺莹.汽车覆盖件拉延成形工艺参数多目标优化
［J］.锻压技术,2020,45(7):82-88.

Yao D S, Zhao K F, He Y. Multi-objective optimization of drawing process parameters for automobile panels
［J］. Forging ＆ Stamping Technology, 2020,45(7):82-88.

服务与反馈：

【文章下载】【加入收藏】