锻压技术

基于人工神经网络和遗传算法的封头成形工艺参数多目标优化

英文标题：Multi-objective optimization on head forming process parameters based on artificial neural network and genetic algorithm

作者：李雷赵柏森

单位：重庆工业职业技术学院重庆工业职业技术学院

关键词：大型封头 NSGAII遗传算法人工神经网络冲压成形帕累托前沿解集多目标优化

分类号：TG386.41

出版年,卷(期):页码：2021,46(5):39-45

摘要：

以DYNAFORM数值模拟、人工神经网络和NSGAII多目标遗传算法为研究手段，以奥氏体不锈钢大型封头作为研究对象，将上下模间隙、下模圆角半径、拉延筋高度、拉延筋相对位置作为优化变量，将起皱、厚度不均匀性、回弹量作为优化指标，利用人工神经网络代表优化变量与优化指标之间的关系，采用NSGAII多目标遗传算法优化人工神经网络，获得帕累托前沿解集。最后，从帕累托前沿解集中选取比较合适的解为：上下模间隙为10.99 mm、下模圆角半径为44.96 mm、拉延筋高度为39.97 mm、拉延筋相对位置为0.4，此时的起皱、厚度不均匀性、回弹量3个指标均较小且均衡。将这组最优工艺参数进行试验试制，得到了表面光滑、厚度均匀、无折皱以及回弹较小的封头构件。

Based on numerical simulation software DYNAFORM, artificial neural network and NSGA-II multi-objective genetic algorithm, for the large austenitic stainless steel head, taking clearance between upper and lower dies, lower die fillet radius, drawbead height and relative position of drawbead as the optimization variables, and taking wrinkle, thickness unevenness and springback amount as the optimization indexes, the relationship between the optimization variables and the optimization indexes was represented by the artificial neural network which was optimized by NSGA-II multi-objective genetic algorithm, and the Pareto front solution set was obtained finally. Then, the reasonable solutions were selected from the Pareto front solution set with the clearance between upper and lower dies of 10.99 mm, the lower die fillet radius of 44.96 mm, drawbead height of 39.97 mm and the relative position of drawbead of 0.4, and the three indexes of wrinkle, thickness unevenness and springback amount were relatively smaller and balanced. Finally, this set of optimal process parameters were tested and trial-produced, and the head parts with smooth surface, uniform thickness, no wrinkle and less springback were obtained.

基金项目：

重庆市教委科学技术研究重点项目（KJZD-K201803201）;重庆市教委科学技术研究项目（KJ1503105）

李雷(1976-),男,硕士,教授 E-mail：lilei1976cq@163.com

参考文献：

[1]刘帆. N10276复合板封头热压成型的分析[J].压力容器,2007，(5):21-25.

Liu F. Analysis about hot forming of N10276 clad plate head[J]. Pressure Vessel Technology,2007, (5):21-25.

[2]姜桂荣. 热旋封头工艺的研究与开发[J].热加工工艺,2003,32(2):32-33.

Jiang G R. Study and development of the technology for thermal rotary extruding of seal heads[J]. Hot Working Technology, 2003，32(2):32-33.

[3]万晋. 加工减薄后的椭圆封头强度数值分析[J].石油化工设备,2006，(1):41-43.

Wan J. Strength numerical analysis of elliptical heads due to machining thickness reduction[J]. Petrochemical Equipment, 2006，(1):41-43.

[4]谢智刚, 桑如苞.椭圆形封头的应力状况及对冲压减薄的考虑[J].石油化工设备技术,2009，(1):18-20.

Xie Z G, Sang R B. Stress analysis on elliptical head and considerations for head form reducing[J]. Petrochemical Equipment Technology, 2009，(1):18-20.

[5]李海峰. 基于有限元模拟的大型厚壁封头热拉深成形理论分析[D].哈尔滨：哈尔滨工业大学,2000.

Li H F. Theoretical Analysis of Hot Drawing of Large Thick Wall Head Based on Finite Element Simulation[D]. Harbin： Harbin Institute of Technology, 2000.

[6]朱向哲, 谢禹钧,王晓华.半球形厚壁封头冲压成形有限元分析及优化[J].辽宁石油化工大学学报,2004，(4):51-53.

Zhu X Z, Xie Y J, Wang X H. Finite element analysis and optimization of the drawing process of head with thick semispherical shell[J]. Journal of Liaoning University of Petroleum & Chemical Technology, 2004，(4):51-53.

[7]丁志杨. 关于薄壁封头一次成形的研究[D].合肥：合肥工业大学,2017.

Ding Z Y. Research on Once Forming of Thinwall Head[D]. Hefei: Hefei University of Technology, 2017.

[8]王中武. 标准椭圆封头常用成形方法壁厚变化分析及开孔补强经济设计探讨[J].金属加工:热加工,2019,(1):76-79.

Wang Z W. Analysis of wall thickness variation and discussion on economic design of hole reinforcement in common forming methods of standard elliptical head[J]. MW Metal Forming, 2019, (1):76-79.

[9]石岩, 高书明,王保兴.大直径复合钢板封头的冷旋压成形[J].中国化工装备,2019,21(6):3-8.

Shi Y, Gao S M, Wang B X. Cold spinning formation of largediameter head of clad steel plates[J]. Chinese Journal of Chemical Equipment, 2019, 21(6):3-8.

[10]杨剑, 李新和,易兆祥,等.2250 mm薄壁封头外环约束无模旋压的壁厚精度[J].锻压技术,2019,44(3):59-64.

Yang J, Li X H, Yi Z X, et al. Wall thickness accuracy of 2250 mm thinwalled head by dieless spinning with outer ring restrainning[J].Forging & Stamping Thechnology,2019,44(3):59-64.

[11]周杰, 罗艳,王珣,等.基于响应面的封头冲压成形工艺多目标优化[J].吉林大学学报：工学版,2016,46(1):205-212.

Zhou J, Luo Y, Wang X, et al. Multiobjective optimization of stamping forming process of head based on response surface model[J]. Journal of Jilin University: Engineering and Technology Edition, 2016,46(1):205-212.

[12]Olaf Schenk, Matthias Hillmann. Optimal design of metal forming die surfaces with evolution strategies[J].Computers & Structures,2004,82(20):1695-1705.

服务与反馈：

【文章下载】【加入收藏】