中国机械工程

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面齿轮磨削加工工艺参数的优化

明兴祖1;罗旦1;刘金华1;严宏志2   

  1. 1.湖南工业大学,株洲,412007
    2.中南大学,长沙,410083
  • 出版日期:2016-10-10 发布日期:2016-10-09
  • 基金资助:
    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)

Grinding Parameter Optimization of Face Gears

Ming Xingzu1; Luo Dan1; Liu Jinhua1; Yan Hongzhi2   

  1. 1.Hunan University of Technology,Zhuzhou,Hunan,412007
    2. Central South University, Changsha,410083
  • Online:2016-10-10 Published:2016-10-09
  • Supported by:
     

摘要: 基于磨削面齿轮工艺参数的分析,在满足产品质量要求和磨削加工条件等设计约束的前提下,建立了以磨齿效率和表面质量为目标函数的多目标优化数学模型。将内点罚函数法与遗传算法相结合用于该数学模型的优化计算,获得了三组最优的磨削用量方案且三组方案均能使磨齿效率和表面质量得到较大提高。根据优化后的结果设计并完成了工艺实验,实验结果也验证了该方法的正确性、有效性和实用性。

关键词: 面齿轮, 磨削, 工艺参数, 多目标优化, 内点罚函数法, 遗传算法

Abstract: 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.

Key words: face gear, grinding, processing parameter, multi-objective optimization, interior penalty function method, genetic algorithm

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