锻压技术

采用NSGA_Ⅱ多目标优化算法的机械压力机三角形

英文标题：Optimization design on triangle elbow bar mechanism of mechanical

作者：杜威赵升吨金利英

单位：西安交通大学

分类号：TH112

出版年,卷(期):页码：2018,43(11):77-82

摘要：

针对三角形肘杆式机械压力机的3种结构，用复数形法建立了滑块的运动学方程，求出滑块在工作阶段的位移、速度和加速度。以肘杆机构的8个主要尺寸为设计变量、以滑块公称压力行程最大速度和速度均方差为目标变量进行正交试验，得出了肘杆机构各主要尺寸对滑块工作特性的影响规律。以滑块行程130 mm、公称压力行程15 mm的800 kN机械压力机参数为例，以滑块工作阶段最大速度最小化和速度波动最小化为优化目标，利用NSGA_Ⅱ多目标优化算法对3种肘杆机构的主要尺寸进行优化设计，得到了优化后的3种三角形肘杆机构各部件的尺寸，并通过滑块的位移、速度、加速度变化曲线，说明了优化后的肘杆机构与原肘杆机构相比，滑块的工作性能明显提高。

For the three structures of triangle elbow bar of mechanical press, the kinematic equation of slider was established by plural method, and the displacement, velocity and acceleration of slider at the working stage were obtained. Taking eight main dimensions of the elbow bar mechanism as design variables, the maximum velocity of the nominal pressure stroke of slider and the velocity mean square deviation as the target variable, the orthogonal test was conducted, and the influences of the main dimensions of the elbow bar mechanism on the working characteristics of slider were obtained. Based on the mechanical press parameters with nominal pressure 800 kN, slide stroke 130 mm and nominal pressure stroke 15 mm, the optimization objective was to minimize the maximum velocity and velocity fluctuation at the working stage of
slide, and the main dimensions of the three kinds of elbow bar mechanisms were optimized by the NSGA_II multi-objective optimization algorithm. Furthermore, the optimized dimensions of the three kinds of elbow bar mechanisms were obtained, and the working characteristics of slider were obviously improved by the displacement, velocity and acceleration curves of slider compared the optimized elbow bar mechanism with the original elbow bar mechanism.

基金项目：

国家自然科学基金资助项目（51335009）；陕西省科学技术研究发展计划工业攻关计划（2015GY125）

杜威（1994-），男，硕士研究生,E-mail：du841652137@stu.xjtu.edu.cn;通讯作者：赵升吨（1962-），男，博士，教授，博士生导师,E-mail：sdzhao@mail.xjtu.edu.cn.

参考文献：

[1]赵升吨, 陈超, 崔敏超,等. 交流伺服压力机的研究现状与发展趋势[J]. 锻压技术, 2015, 40(2):1-7.

Zhao S D, Chen C, Cui M C, et al. Research status and development tendency of AC servo press[J]. Forging & Stamping Technology, 2015, 40(2):1-7.

[2]赵升吨, 张学来, 高长宇,等. 高速压力机的现状及其发展趋势[J]. 锻压装备与制造技术,2005, 40(1):17-25.

Zhao S D, Zhang X L, Gao C Y, et al. Actuality ＆ progress of high speed press [J]. China Metalforging Equipment& Manufacturing Technology, 2005, 40(1):17-25.

[3]何予鹏, 赵升吨, 杨辉, 等. 机械压力机低速锻冲机构的遗传算法优化设计[J]. 西安交通大学学报, 2005, 39(5): 490-493.

He Y P, Zhao S D, Yang H, et al. Optimum design of the mechanical press with low speed and stamping punch mechanism based on genetic algorithm[J]. Journal of Xi′an Jiaotong University, 2005, 39(5): 490-493.

[4]王晓强, 霍颖, 刘瑞秀. 冷挤压设备现状及发展[J]. 锻压装备与制造技术, 2007, 42(3):28-30.

Wang X Q, Huo Y, Liu R X. Present condition and development of cold-squeezing equipment[J]. China Metal Forming Equipment & Manufacturing Technology, 2007, 42(3):28-30.

[5]赵升吨, 邵中魁, 盛朝辉. 机械压力机工作机构合理性探讨[J]. 锻压装备与制造技术,2013, 48(3):14-19.

Zhao S D, Shao Z K, Sheng Z H. Discussion of the rationality of working mechanism of mechanical presses[J]. China Metalforging Equipment& Manufacturing Technology, 2013, 48(3): 14-19.

[6]张元通, 朱灯林. 机械压力机肘杆传动机构的优化设计[J]. 机械与电子, 2008, (1):10-12.

Zhang Y T, Zhu D L. Optimization design of mechanical press elbow-bar transfer mechanism[J]. Machinery & Electronics, 2008, (1):10-12.

[7]何予鹏, 邹彩虹, 袁志华,等. 多连杆机械压力机遗传算法优化设计[J]. 河南农业大学学报, 2005, 39(4): 453-455.

He Y P, Zou C H, Yuan Z H, et al. Optimization design of multi_bar mechanical press based on genetic algorithm[J]. Journal of Henan Agricultural University, 2005, 39(4): 453-455.

[8]Rabinovich Y I. Universal procedure for constructing a Pareto set[J]. Computational Mathematics & Mathematical Physics, 2017, 57(1):45-63.

[9]Wang L, Wang T G, Luo Y. Improved non-dominated sorting genetic algorithm (NSGA)-II in multi-objective optimization studies of wind turbine blades[J]. Applied Mathematics and Mechanics English Edition, 2011, 32(6):739-748.

[10]Sheng W, Liu K Y, Liu Y, et al. Optimal placement and sizing of distributed generation via an improved nondominated sorting genetic algorithm II[J]. IEEE Transactions on Power Delivery, 2015, 30(2):569-578.

[11]何德誉. 曲柄压力机[M]. 北京：机械工业出版社，1985.

He D Y. Crank Press [M]. Beijing: China Machine Press, 1985.

[12]崔逊学. 多目标进化算法及其应用[M]. 北京：国防工业出版社，2006.

Cui X X. Multi Objective Evolutionary Algorithm and Its Application [M]. Beijing:National Defense Industry Press, 2006.

服务与反馈：

【文章下载】【加入收藏】