
Wear Prediction Model Based on the Fractal Contact Characteristics
Author(s) -
Ruide Yun,
Bei Ding
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/774/1/012025
Subject(s) - asperity (geotechnical engineering) , materials science , fractal , fractal dimension , wear coefficient , surface roughness , surface finish , composite material , frictional coefficient , scale (ratio) , surface (topology) , constant (computer programming) , contact area , friction coefficient , tribology , mechanics , forensic engineering , geometry , mathematics , engineering , computer science , mathematical analysis , physics , quantum mechanics , programming language
A new fractal wear model is proposed. The new model is based on the multi-scale fractal contact model. Studying the elastoplastic and plastic state of contact asperities, the new wear model is established. The relationship between the amount of contact surface wear and the fractal dimension D, the characteristic coefficient G and the material property constant C is studied. Besides, wear coefficient of the rough contact surface is predicted. It can be seen from the results that the influence of the scale effect on contact surface must be considered, because of the asperities with the same deformation ?? will be in different contact state. The relationship between amount of wear in the new model and amount of wear in existing model has the same trend. When D = 1.45, the amount of wear is the lowest. With the increasing of G reflecting the roughness of contact surface, the wear amount is increasing. The material constant also has a certain influence on the wear amount, and the material with high hardness has low wear. The contributions of the amount of asperity wear (elastoplastic and plastic) have the same effect to the total wear amount. Besides, the result of new fractal wear coefficient and the result of classical have the same trend, however, the new wear model is more precise than the classical wear model and closer to the actual state.