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Modeling and prediction of surface roughness in belt polishing based on artificial neural network
文献类型:期刊
作者:Qi, Junde[1]  Zhang, Dinghua[2]  Li, Shan[3]  Chen, Bing[4]  
机构:[1]Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China.;
[2]Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China.;
[3]Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China.;
[4]Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China.;
通讯作者:Qi, JD (reprint author), Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Shaanxi, Peoples R China.
年:2018
期刊名称:PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE影响因子和分区
卷:232
期:12
页码范围:2154-2163
增刊:正刊
收录情况:SCI(E)(WOS:000444981000008)  
所属部门:机电学院
被引频次:2
人气指数:119
浏览次数:116
基金:Fundamental Research Funds for the Central Universities [3102015JCS05012]
关键词:Surface roughness; maximum cutting depth; belt polishing; artificial neural network; statistics analysis
摘要:
Surface roughness is a variable often used to describe the quality of ground surfaces as well as to evaluate the competitiveness of the overall polishing system, which makes it an ever-increasing concern in industries and academia nowadays. In this article, from microscopic point of view, based on the statistics analysis, and by the use of the elastic contact theory and the plastic contact theory, the model of the maximum cutting depth of abrasive grains is developed. Then based on back-propagat ...More
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