Abstract:

NSGA-Ⅱwas 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.

Key words: general scroll compressor, dynamic and static scroll, multi-objective optimization design, non-dominated sorting genetic algorithm (NSGA-Ⅱ)

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。
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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