A dynamic calculation method of sliding friction losses for a helical gear pair

作者： | Cheng Wang, Zhaoyao Shi |

作者单位： |
^{1}Beijing University of Technology^{2}University of Jinan |

刊名： | Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2017, Vol.39 (5), pp.1521-1528 |

来源数据库： | Springer Journal |

DOI： | 10.1007/s40430-016-0585-8 |

关键词： | Helical gear pair; Efficiency; Sliding power losses; Dynamic characteristics; Friction force; |

英文摘要： | Sliding friction losses play a significant role in power losses of a gearbox. The author has proposed a calculation method of sliding friction losses considering the transmission errors. The tooth surface meshing force, relative sliding/entrainment velocity, and sliding friction coefficient are obtained under static or quasi-static conditions which restrict the accuracy of model in the middle- and high-speed gear transmission. The efficiency of dynamic state of a helical gear pair is studied, because it is widely used in the middle- and high-speed transmission. Therefore, a calculation method for helical gear pair of sliding friction losses based on dynamic characteristics is proposed. First, the dynamic model of helical gear pair considering friction and multiple backlashes is built and... |

原始语种摘要： | Sliding friction losses play a significant role in power losses of a gearbox. The author has proposed a calculation method of sliding friction losses considering the transmission errors. The tooth surface meshing force, relative sliding/entrainment velocity, and sliding friction coefficient are obtained under static or quasi-static conditions which restrict the accuracy of model in the middle- and high-speed gear transmission. The efficiency of dynamic state of a helical gear pair is studied, because it is widely used in the middle- and high-speed transmission. Therefore, a calculation method for helical gear pair of sliding friction losses based on dynamic characteristics is proposed. First, the dynamic model of helical gear pair considering friction and multiple backlashes is built and... |

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