Fractal model of thermal contact conductance of two spherical joint surfaces considering friction coefficient

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xianguang Sun ◽  
Chunxiao Meng ◽  
Tiantang Duan

Purpose The purpose of this study is to propose a fractal model of thermal contact conductance (TCC) of two spherical joint surfaces, considering friction coefficient based on the three-dimensional fractal theory. Design/methodology/approach The effects of friction coefficient, fractal parameters, radius of curvature and contact type on TCC were analyzed using numerical simulation. Findings The results indicate that the TCC decreases with the increase of friction coefficient and fractal roughness and increases with the increase of fractal dimension and radius of curvature; the contact type of two spherical joint surfaces has an important influence on the TCC, and the TCC of external contact is smaller than that of internal contact under the same contact load. Originality/value A fractal model of TCC of two spherical joint surfaces considering friction coefficient is proposed in this paper. Achievements of this work provide some theoretical basis for the research of TCC of bearings and other curved surfaces.

2008 ◽  
Vol 130 (10) ◽  
Author(s):  
Mingqing Zou ◽  
Boming Yu ◽  
Jianchao Cai ◽  
Peng Xu

A random number model based on fractal geometry theory is developed to calculate the thermal contact conductance (TCC) of two rough surfaces in contact. This study is carried out by geometrical and mechanical investigations. The present study reveals that the fractal parameters D and G have important effects on TCC. The predictions by the proposed model are compared with existing experimental data, and good agreement is observed by fitting parameters D and G. The results show that the effect of the bulk resistance on TCC, which is often neglected in existing models, should not be neglected for the relatively larger G and D. The main advantage of this model is the randomization of roughness distributions on rough surfaces. The present results also show a better agreement with the practical situation than the results of other models. The proposed technique may have the potential in prediction of other phenomena such as friction, radiation, wear and lubrication on rough surfaces.


10.2514/3.870 ◽  
1997 ◽  
Vol 11 ◽  
pp. 129-140
Author(s):  
B. Merci ◽  
J. Steelant ◽  
J. Vierendeels ◽  
K. Riemslagh ◽  
E. Dick ◽  
...  

10.2514/3.871 ◽  
1997 ◽  
Vol 11 ◽  
pp. 141-145
Author(s):  
Andreas Haselbacher ◽  
Jiri Blazek ◽  
S. R. Mirmira ◽  
E. Marotta ◽  
L. S. Fletcher

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