基于NSGA-Ⅱ的多目标遗传算法通用涡旋盘的优化设计  

Optimization Design of General Scroll Based on Multi-objective Genetic Algorithm of NSGA-Ⅱ

作　　者：张贤明[1] 牟瑛[1] 王立存[1,2] 陈国强[1] 李萍[1] 陈彬[1] 

机构地区：[1]重庆工商大学废油资源化技术与装备教育部工程研究中心,重庆400067 [2]西安交通大学流体机械及压缩机国家工程研究中心,西安710049

出　　处：《中国机械工程》2012年第13期1598-1602,共5页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(50805149);重庆市科技攻关重点项目(CSTC2009AB3234);中国博士后科学基金资助项目(20090450166);重庆高校科技资助项目(KJTD201019;KJZH11211)

摘　　要：利用非劣排序遗传算法(NSGA-Ⅱ)对通用涡旋压缩机的动静涡旋盘涡旋体高度、涡旋盘主轴转角、涡旋型线基圆渐开角、涡旋型线基圆半径基本参数进行优化设计,使涡旋盘的径向气体力、切向气体力、倾覆力矩、自转力矩、能效比达到最优。给出了优化设计的遗传算法计算方法、数学模型、基于遗传算法数学模型、程序流程图、多目标优化结果。较其他优化方法,NSGA-Ⅱ能较好解决多目标非线性优化问题,最后用优化后的数据验证了该方法的有效性。NSGA-Ⅱ was used to do optimization design for basic parameters of a general scroll compressor, which included vortex height of dynamic and static scrolls, spindle rotation of scroll disk, involute angle of scroll profile,radius of scroll profile,and come to the result that gas force that scroll disk--received come up to optimal, the gas force included radial gas force, tangential gas force, overturning torque, rotation torque, energy efficiency ratio. Genetic algorithm method, mathematic model, mathematical model based on genetic algorithms, program flow chart, multi-objective optimization results of optimization design were presented. Compared with other optimization methods, NSGA- Ⅱ can solve the multiple objective nonlinear optimization problems better. Finally, the optimized data was used to verify the validity of the method.

关 键 词：通用涡旋压缩机 动静涡旋盘 多目标优化设计 非劣排序遗传算法 

分 类 号：TH45[机械工程—机械制造及自动化]