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机械工程学报

机械工程学报 ›› 2016, Vol. 52 ›› Issue (19): 123-131.doi: 10.3901/JME.2016.19.123

• 摩擦学 • 上一篇    下一篇

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考虑表面张力影响的表面织构最优参数分析*

陈平1, 李俊玲1, 邵天敏2, 项欣1, 刘光磊1   

  1. 1. 北京科技大学机械工程学院 北京 100083, 2. 清华大学摩擦学国家重点实验室 北京 100084, 1. 北京科技大学机械工程学院 北京 100083, 2. 清华大学摩擦学国家重点实验室 北京 100084
  • 出版日期:2016-10-05 发布日期:2016-10-05
  • 作者简介:作者简介：陈平，女，1973年出生，博士，副教授，硕士研究生导师。主要研究方向为材料表面摩擦磨损、表面织构及其摩擦学效应。E-mail：chenp@ustb.edu.cn
  • 基金资助:
    * 中央高校基本科研业务费专项资金资助项目(FRF-BR-15-037A); 20150913收到初稿，20160524收到修改稿;

Optimal Analysis of Geometric Parameters of Surface Texture with Surface Tension Considered

CHEN Ping1, LI Junling1,   SHAO Tianmin2,  XIANG Xin1,  LIU Guanglei1   

  1. 1. School of Mechanical Engineering， University of Science and Technology Beijing， Beijing 100083, 2. State Key Lab. of Tribology， Tsinghua University， Beijing 100084, 1. School of Mechanical Engineering， University of Science and Technology Beijing， Beijing 100083, 2. State Key Lab. of Tribology， Tsinghua University， Beijing 100084
  • Online:2016-10-05 Published:2016-10-05

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摘要：

采用基于N-S方程的CFD方法模拟了圆凹坑形织构深度和面积率与油膜附加承载力的关系，同时考察表面张力对油膜承载力的影响。通过神经网络非线性映射功能，拟合油膜附加承载力和油膜自身承载力计算结果，再利用粒子群优化算法优化织构深度和面积率并加以试验验证。结果表明：使油膜附加承载力达到最大时，最优织构深度与油膜厚度相关，其比值(织构深度/油膜厚度)约为1.0，最优面积率约为45%。考虑表面张力时，使油膜总承载力达到最大时的最优织构深度和面积率分别为2.5~7.5 μm和45%。对比两部分优化结果可知，是否考虑表面张力不影响最优面积率的确定，但影响最优织构深度的确定。从织构深度和面积率的优化结果发现，不同承载力作用下选择不同织构参数，可取得较小的摩擦因数，并通过试验验证，优化结果合理、正确。

关键词: 表面张力, 承载力, 计算流体动力学(CFD), 摩擦因数, 神经网络, 表面织构

Abstract:

：The relationship between texture depth and texture area ratio with the additional load-carrying capacity of oil film considered at different oil film thickness is simulated by using the computational fluid dynamics method (CFD) based on N-S equation. Meantime, the influence of surface tension on the load-carrying capacity of oil film is investigated; the additional load-carrying capacity of oil film from surface texture and the own load-carrying capacity of oil film from surface tension are fitted by using the nonlinear mapping function of neural network. The texture depth and the texture area ratio are optimized with optimization algorithm of particle swarm and tested with experiments. The results show that the texture depth is related to the oil film thickness for round dimple texture when the additional load-carrying capacity of oil film got the maximum. The ratio between them is around 1.0 and the optimal area ratio is 45%. With the influence of surface tension is considered, when the total load-carrying capacity for oil film get the maximum, the optimal texture depth and area ratio are 2.5-7.5 μm and 45%, respectively. The comparison of those results show if take the surface tension into consideration or not will not affect the determination of optimal area ratio, but affect the determination of the optimal texture depth. According to the optimal results of texture depth and area ratio, the lower friction coefficient can be obtained by choosing geometric parameters of surface texture at different load-carrying capacity. And through the experiments, good agreement between simulation results and test data is achieved.

Key words: computational fluid dynamics(CFD), friction coefficient, load-carrying capacity, neural network, surface tension, surface texture

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