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《China Mechanical Engineering》 2016-19
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Grinding Parameter Optimization of Face Gears

Ming Xingzu;Luo Dan;Liu Jinhua;Yan Hongzhi;Hunan University of Technology;Central South University;  
Based on the analyses of the grinding parameters of face gears,under the conditions of meeting product quality requirements and other design constrains,a multi-objective optimization mathematical model was established,which took grinding efficiency and surface quality as the objective function.The interior penalty function method and genetic algorithm were used to solve the multi-objective optimization model,and three groups of the best scheme of grinding conditions were obtained,that might make the grinding efficiency and surface quality be improved.Experiments were performed according to optimized results.The effectiveness and practicability of this method were validated by analyses and applications.
【Fund】: 国家自然科学基金资助项目(51375161 51575533);; 湖南省自然科学基金资助项目(2015JJ5018)
【CateGory Index】: TG616
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