采用遗传算法优化液力变矩器叶栅参数的研究  

On Optimization of the Blade Parameters of a Torque Converter Based on Genetic Algorithm

作　　者：王晓晶[1] 徐雳[1] 程耀楠[1] 李兆坤[1] 

机构地区：[1]哈尔滨理工大学机械动力工程学院,哈尔滨150080

出　　处：《机械科学与技术》2005年第9期1097-1099,共3页Mechanical Science and Technology for Aerospace Engineering

摘　　要：提出了以计算工况液力变矩比最大为目标函数的优化设计模型,采用遗传算法对各工作轮的叶栅进出口角进行优化,使计算工况最高效率提高,改善了液力变矩器的经济性。将该方法应用于YB380型液力变矩器叶栅进出口角的优化,结果表明,通过优化使计算工况最高效率由0.866提高到0.9,从而证明本方法的可行性。An optimal design model is established with the maximum torque convert ratio as the objective function, and genetic algorithm is adopted to optimize the inlet and outlet angle of blade cascade. The method increases torque converter＇s maximum efficiency of calculated work condition and improves the economics of the torque converter. It is applied to the optimization of inlet and outlet angle of blade cascade of torque converter （YB380）. The result indicates that the maximum efficiency of calculated work condition is improved from 0.866 to 0.9 and that this method is feasible.

关 键 词：遗传算法 液力变矩器 叶栅参数 优化 

分 类 号：TH137[机械工程—机械制造及自动化]