Mesoscale Numerical Modeling for Predicting Wear Debris Generation

被引:10
|
作者
Li, Tongyang [1 ,2 ]
Shi, Jian [1 ]
Wang, Shaoping [1 ]
Zio, Enrico [2 ,3 ]
Ma, Zhonghai [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
[2] Politecn Milan, Dept Energy, Via La Masa 34, I-20156 Milan, Italy
[3] Univ Paris Saclay, Chair Syst Sci & Energy Challenge, Cent Supelec, Fdn Elect France EDF, F-92290 Chatenay Malabry, France
基金
中国国家自然科学基金;
关键词
Wear debris; Particle characterization; Boundary element method; DISCRETE CONVOLUTION; WEIBULL DISTRIBUTION; ADHESIVE WEAR; CONTACT; SURFACE; SIZE; SIMULATION; PARTICLES; FRICTION; STEEL;
D O I
10.1007/s11249-019-1150-2
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
With the development of debris detection techniques, wear debris has become a powerful indicator for wear conditions monitoring of engineering machines. However, there is still a lack of effective method for predicting the generation of wear debris with given rough surfaces. Hence, a numerical model is developed based on atomic attrition mechanism. Boundary element method is used to solve the dry sliding contact problem. A discretized solution is used to calculate subsurface stress. From the quantity, size, and shape perspectives, wear debris is analyzed using the detailed information by a Monte Carlo simulation on 100 pairs of rough surfaces. The predictions are compared with results by the existing models quantitatively or qualitatively.
引用
收藏
页数:15
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