首页|伺服机械压力机主传动机构多目标优化设计研究

伺服机械压力机主传动机构多目标优化设计研究

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伺服机械压力机主传动机构决定了其工作性能的优劣,本文针对企业某型号伺服机械压力机曲柄三角肘杆机构的各项参数要求,提出了一种设计方法.首先,在通过运动学对曲柄三角肘杆机构进行解析环节中使用了复数矢量法;其次,根据设计变量和约束条件在MATLAB(Matrix Laboratory)中求解传动机构基础尺寸.然后,确定设计变量、约束条件及目标函数.最后,采用层次分析法(Analytic Hierarchy Process)确定线性加权和法的权重系数并通过惩罚函数法以及遗传算法的融合,对最终目标函数进行计算.通过研究证明,对比经常应用的权重系数来说,通过AHP法,对权重系数进行优化后,在公称压力行程中,曲柄三角肘杆机构的滑块速度降低了 6.3％,行程速比系数提高了 19.8％,传动机构的高度降低了 1.3％.
Research on Multi-objective Optimization Design of the Main Transmission Mechanism of Servo Mechanical Press
The main transmission mechanism of a servo mechanical press determines its working performance.This article proposes a design method for the various parameter requirements of the crank triangle elbow mechanism of a certain model of servo mechanical press.Firstly,the complex vector method is used in the analysis of the crank triangle elbow mechanism through kinematics analysis.Secondly,the basic dimensions of the transmission mechanism are solved in MATLAB based on design variables and constraints.Then,the design variables,constraints and the objective function are determined.Finally,the analytic hierarchy process is used to determine the weight coefficients of the linear weighted sum method,and the final objective function is calculated by combining the penalty function method and genetic algorithm.Compared to commonly used weight coefficients,after optimizing the weight coefficients using the AHP method,the slider speed of the crank triangle elbow mechanism is reduced by 6.3％in the nominal pressure stroke,the travel speed ratio coefficient is increased by 19.8％,and the height of the transmission mechanism is reduced by 1.3％.

servo mechanical pressmulti-objective optimal designcomplex vector methodanalytic hierarchy processgenetic algorithm

马敏海、吕涛

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宁波职业技术学院 精密模具加工及智能制造应用研究中心,浙江宁波 315800

宁波大学 机械工程与力学学院,浙江宁波 315211

伺服机械压力机 多目标优化设计 复数矢量法 层次分析法 遗传算法

2023年度浙江省教育厅一般科研项目宁波自然科学基金资助项目宁波职业技术学院2024年度校级重点课题

Y202351996202003N4190NZ24001Z

2024

机械设计与研究
上海交通大学

机械设计与研究

CSTPCD北大核心
影响因子：0.531
ISSN：1006-2343
年,卷(期)：2024.40(4)