Fractal Prediction Model of Thermal Contact Conductance of Rough Surfaces  被引量:11

Fractal Prediction Model of Thermal Contact Conductance of Rough Surfaces

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作  者:JI Cuicui ZHU Hua JIANG Wei 

机构地区:[1]School of Mechanical and Electrical Engineering,China University of Mining and Technology [2]School of Mechanical Engineering,University of Leeds

出  处:《Chinese Journal of Mechanical Engineering》2013年第1期128-136,共9页中国机械工程学报(英文版)

基  金:supported by National Natural Science Foundation of China (Grant Nos. 50975276,50475164);National Basic Research Program of China (973 Program,Grant No. 2007CB607605);Doctoral Programs Foundation of Ministry of Education of China (Grant No.200802900513);Priority Academic Program Development of Jiangsu Higher Education Institutions of China (PAPD)

摘  要:The thermal contact conductance problem is an important issue in studying the heat transfer of engineering surfaces, which has been widely studied since last few decades, and for predicting which many theoretical models have been established. However, the models which have been existed are lack of objectivity due to that they are mostly studied based on the statistical methodology characterization for rough surfaces and simple partition for the deformation formats of contact asperity. In this paper, a fractal prediction model is developed for the thermal contact conductance between two rough surfaces based on the rough surface being described by three-dimensional Weierstrass and Mandelbrot fractal function and assuming that there are three kinds of asperity deformation modes: elastic, elastoplastic and fully plastic. Influences of contact load and contact area as well as fractal parameters and material properties on the thermal contact conductance are investigated by using the presented model. The investigation results show that the thermal contact conductance increases with the increasing of the contact load and contact area. The larger the fractal dimension, or the smaller the fractal roughness, the larger the thermal contact conductance is. The thermal contact conductance increases with decreasing the ratio of Young's elastic modulus to the microhardness. The results obtained indicate that the proposed model can effectively predict the thermal contact conductance at the interface, which provide certain reference to the further study on the issue of heat transfer between contact surfaces.The thermal contact conductance problem is an important issue in studying the heat transfer of engineering surfaces, which has been widely studied since last few decades, and for predicting which many theoretical models have been established. However, the models which have been existed are lack of objectivity due to that they are mostly studied based on the statistical methodology characterization for rough surfaces and simple partition for the deformation formats of contact asperity. In this paper, a fractal prediction model is developed for the thermal contact conductance between two rough surfaces based on the rough surface being described by three-dimensional Weierstrass and Mandelbrot fractal function and assuming that there are three kinds of asperity deformation modes: elastic, elastoplastic and fully plastic. Influences of contact load and contact area as well as fractal parameters and material properties on the thermal contact conductance are investigated by using the presented model. The investigation results show that the thermal contact conductance increases with the increasing of the contact load and contact area. The larger the fractal dimension, or the smaller the fractal roughness, the larger the thermal contact conductance is. The thermal contact conductance increases with decreasing the ratio of Young's elastic modulus to the microhardness. The results obtained indicate that the proposed model can effectively predict the thermal contact conductance at the interface, which provide certain reference to the further study on the issue of heat transfer between contact surfaces.

关 键 词:rough surface FRACTAL thermal contact conductance prediction model 

分 类 号:TK124[动力工程及工程热物理—工程热物理]

 

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