锻压技术

高速压力机机身振幅最小化的传动机构智能优化

英文标题：Transmission mechanism intelligent optimization on minimizing fuselage vibration amplitude for high-speed press

作者：陶翠霞孙波赵鹏

单位：山东劳动职业技术学院

分类号：TG305

出版年,卷(期):页码：2021,46(8):161-166

摘要：

为了减小高速压力机机身的振动幅度，提出了基于人工蜂群算法的传动机构的优化方法。介绍了传动机构构型，建立了机身的3自由度振动模型；求解了机身所受的激励载荷和动态响应，并基于机身动态响应建立了传动机构的优化模型；优化机身参数，并确定了参数的取值范围；通过巧妙设置蜜源编码方法和蜜源评价方法，将最优参数求解问题转化为蜂群搜索最优蜜源问题，并使用人工蜂群算法求解了最优参数组合。经验证，优化后的机身在X轴向的振幅减小了24.68%、Y轴向的振幅减小了66.67%，扭转方向的振幅减小了30.13%，综合目标函数减小了31.82%，说明经过参数优化，机身在3个自由度上的振幅大大减小，极大地提高了高速压力机的性能。

In order to reduce the fuselage vibration amplitude of high-speed press, a transmission mechanism optimization method based on artificial bee colony algorithm was proposed. Then, the configuration of the transmission mechanism was introduced, and three-degree of freedom vibration model for fuselage was built. Next, the exciting loads and dynamic response of fuselage were solved, and the optimization model of transmission mechanism based on the fuselage dynamic response was built. Furthermore, the fuselage parameters were optimized and the value ranges of parameters were determined, the nectar source coding method and nectar source evaluation method were ingeniously set to transform the optimal parameter solving problem into the optimal nectar source problem of bee colony searching, and the optimal parameter combination was solved by artificial bee colony algorithm. After verification, the vibration amplitude of optimized fuselage in the X-axis direction is reduced by 24.68%, the vibration amplitude in the Y-axis direction is reduced by 66.67%, the vibration amplitude in the torsion direction is reduced by 30.13%, and the comprehensive objective function is reduced by 31.82%, indicating that the fuselage vibration amplitude in three-degree of freedom reduces greatly through parameters optimization, which greatly improves the performance of high-speed press.

基金项目：

山东省高等学校“青创科技计划”资助项目(2019KJN015)；山东省职业教育技艺技能传承创新平台资助项目

陶翠霞（1979-），女，硕士，副教授 E-mail：yang5551314@126.com

参考文献：

［1］徐涛涛,孔垂品,李俊杰,等.汽车覆盖件冲压工艺分析系统
［J］.塑性工程学报,2020,27(5):74-82.

Xu T T, Kong C P, Li J J, et al. Process analysis system for stamping of automobile panel
［J］. Journal of Plasticity Engineering, 2020,27(5):74-82.

［2］白玉冰,侯佳欣,张志国,等. 基于有限元计算的冷锻压力机组合机身的结构优化
［J］.锻压技术,2020,45(6):130-136.

Bai Y B, Hou J X, Zhang Z G, et al. Structural optimization on combination body of cold forging press based on finite element calculation
［J］. Forging & Stamping Technology, 2020,45(6):130-136.

［3］胡建国,孙友松,章争荣,等.机械压力机传动方案设计的发展历程
［J］.锻压技术,2020,45(5):159-167.

Hu J G, Sun Y S, Zhang Z R, et al. Development history of transmission plan design in mechanical press
［J］. Forging & Stamping Technology, 2020,45(5):159-167.

［4］张蔚,曾梁彬,孙宇.一种平面机构动平衡方法在高速压力机设计中的应用
［J］.机械设计,2018,35(5):77-83.

Zhang W, Zeng L B, Sun Y. A dynamic balancing method for planar mechanism using in high-speed punch design
［J］. Journal of Machine Design, 2018,35(5):77-83.

［5］王中双,尹久政,高梦琦.单自由度双曲柄六杆压力机机构计算机建模与动态静力分析向量键合图法
［J］.机械传动,2020,44(2):55-60.

Wang Z S, Yin J Z, Gao M Q. Vector bond graph method for the computer modeling and kineto-static analysis of a single-DOF double crank six-bar press mechanism
［J］. Journal of Mechanical Transmission, 2020,44(2):55-60.

［6］张氢,陈淼,孙峰,等.基于再生运动链法的大车行走机构创新设计
［J］.上海交通大学学报,2019,53(12):1466-1474.

Zhang Q, Chen M, Sun F, et al. Design of new rail mounted gantry with the regenerative kinematic chain method
［J］. Journal of Shanghai Jiao Tong University, 2019,53(12):1466-1474.

［7］胡文涛,刘艳雄.机械式高速精冲机动平衡优化
［J］.锻压技术,2018,43(11):83-88.

Hu W T, Liu Y X. Dynamic balancing optimization of mechanical high speed fine-blanking machine
［J］. Forging & Stamping Technology, 2018,43(11):83-88.

［8］袁闯.对影响高速压力机动态精度及性能的相关因素的测试与分析
［J］.锻压装备与制造技术,2018,53(5):10-13.

Yuan C. Test and analysis of factors affecting dynamic accuracy and performance of high-speed press
［J］. China Metalforming Equipment & Manufacturing Technology, 2018,53(5):10-13.

［9］刘良,罗勇,刘福华,等.正交试验法在悬架系统优化设计中的应用
［J］.机械设计与制造,2017，(4):59-62.

Liu L, Luo Y, Liu F H, et al. Optimization design of vehicle suspension system based on orthogonal experimental method
［J］. Machinery Design & Manufacture, 2017，(4):59-62.

［10］韩清凯，翟敬宇，张昊. 机械动力学基础及其仿真方法
［M］. 武汉:武汉理工大学出版社, 2017.

Han Q K, Zhai J Y, Zhang H. Fundamentals of Mechanical Dynamics and Its Simulation Methods
［M］. Wuhan: Wuhan University of Technology Press, 2017.

［11］李志敏,张伟.基于差分进化人工蜂群算法的云计算资源调度
［J］.计算机工程与设计,2018,39(11):3451-3455.

Li Z M, Zhang W. Clouding computing resource scheduling based on differential evolution artificial bee colony algorithm
［J］. Computer Engineering and Design, 2018,39(11):3451-3455.

［12］Semaan C, Chien S, Ting C J. Minimizing Cost of highway maintenance considering the impact of vehicle emissions using an artificial bee colony approach
［J］. Transportation Research Record Journal of the Transportation Research Board, 2020, 2674(4): 60-72.

服务与反馈：

【本网站尚未开通全文下载服务】【加入收藏】