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基于遗传算法的液力变矩器性能参数优化研究
引用本文:王晓晶,徐雳,崔兆福. 基于遗传算法的液力变矩器性能参数优化研究[J]. 哈尔滨理工大学学报, 2005, 10(1): 44-47
作者姓名:王晓晶  徐雳  崔兆福
作者单位:哈尔滨理工大学,机械动力工程学院,黑龙江,哈尔滨,150080;哈尔滨理工大学,机械动力工程学院,黑龙江,哈尔滨,150080;哈尔滨理工大学,机械动力工程学院,黑龙江,哈尔滨,150080
摘    要:针对提高液力变矩器计算工况最高效率的要求,依据一元流束理论以及能量守恒定律,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度进行优化,并将该方法应用于YB380型液力变矩器叶栅进出口角度的优化.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,从而证明所提出优化设计模型的准确性,

关 键 词:液力变矩器  叶栅  优化  遗传算法
文章编号:1007-2683(2005)01-0044-03
修稿时间:2004-07-16

Study on Optimization of Primary Performance Parameters of Torque Converter Based on Genetic Algorithm
WANG Xiao-jing,XU li,CUI Zhao-fu. Study on Optimization of Primary Performance Parameters of Torque Converter Based on Genetic Algorithm[J]. Journal of Harbin University of Science and Technology, 2005, 10(1): 44-47
Authors:WANG Xiao-jing  XU li  CUI Zhao-fu
Abstract:In order to improve torque converter's maximum efficiency of calculated work condition, according to non -dimension stream theory and energy conservation principle, optimum design model is established by object function which is based on the maximum torque convert ratio, and genetic algorithm is adopted to optimize the inlet and outlet angle of blade cascade, The method is applied to the optimum of inlet and outlet angle of blade cascade of torque converter(YB380). The result indicates the maximum efficiency of calculated work condition is improved from 0.866 to 0.9, and proves optimum design model is accurate.
Keywords:torque converter  blade  optimization  genetic algorithm
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