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《CHINA PETROLEUM MACHINERY》 2000-07
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Neural network for predicting effect of lubricant viscosity on wear

Xu Jiansheng(Dept. of Mechanical Engineering, Wuhan Institute of Chemical Technology, Wuhan), Zhao Yuan;Zou Lan  
The BP neural network used in the prediction of the effect of the lubricant viscosity on the wear property of 45 steel/bronze friction pairs was established. Wear tests on lubricants with various viscosities were made, and the objective sample of the neural network was obtained. To simplify programming, the functions in the toolbox of MATLAB software wereused. The network is a practicable tool for solving the problem of the calculation in tribology design.
【Fund】: 国家自然科学基金
【CateGory Index】: TE626
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