基于遗传算法的多目标优化在三偏心蝶阀设计中的应用  

Application of Multi-objective Optimization in the Design of Triple Eccentric Butterfly Valve Based on Evolutionary Algorithm

作　　者：焦万均[1] 李洪霖[1] 

机构地区：[1]成都工业学院机电工程系,成都610031

出　　处：《成都工业学院学报》2013年第2期36-38,共3页Journal of Chengdu Technological University

摘　　要：将基于遗传算法的多目标优化引入三偏心蝶阀设计过程,根据产品性能要求可以选择最合理的设计参数使2个相互冲突的主要设计目标(起闭性能指示角,力矩)同时达到最优。且整个过程使用软件完成,使设计人员摆脱繁重的重复计算劳动,设计过程中经验的因素进一步减少,将优化设计思想进引入产品设计过程。In this paper, the multi-objective optimization based on evolutionary algorithm is introduced into the design process for triple eccentric butterfly valves. To make the primary design goals of two conflicting （ lifting performance indicator angle, torque） to be optimized at the same time, according to the product performance requirements the most reasonable design parameters can be chosen. The software is used to complete the whole process, making design personnel get rid of heavy repeating calculation work, the experience factors can be reduced while the theory of optimum design is introduced into the product design process.

关 键 词：遗传算法 多目标优化 三偏心蝶阀 起闭性能指示角 起闭力矩. 

分 类 号：TG171[金属学及工艺—金属表面处理]