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Mesoscale Numerical Modeling for Predicting Wear Debris Generation

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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… Click to show full abstract

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.

Keywords: modeling predicting; wear debris; generation; numerical modeling; mesoscale numerical; predicting wear

Journal Title: Tribology Letters
Year Published: 2019

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