|
|||||
|
|
Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine |
|
| Authors: | MA Ning XU Wen-ji WANG Xu-yue WEI Ze-fei PANG Gui-bing |
| Affiliation: | MA Ning1,2,XU Wen-ji1,WANG Xu-yue1,WEI Ze-fei1,PANG Gui-bing31.School of Mechanical Engineering,Dalian University of Technology,Dalian 116024,China,2.School of Electromechanical Engineering,Shenyang Aerospace University,Shenyang 110136,3.School of Mechanical Engineering and Automation,Dalian Polytechnic University,Dalian 116034,China? Central South University Press and Springer-Verlag Berlin Heidelberg 2011 |
| Abstract: | The predictive model of surface roughness of the spiral bevel gear (SBG) tooth based on the least square support vector machine (LSSVM) was proposed.A nonlinear LSSVM model with radial basis function (RBF) kernel was presented and then the experimental setup of PECF system was established.The Taguchi method was introduced to assess the effect of finishing parameters on the gear tooth surface roughness,and the training data was also obtained through experiments.The comparison between the predicted values and... |
| Keywords: | pulse electrochemical finishing (PECF) surface roughness least squares support vector machine (LSSVM) predictionOptimal design of auxiliary-teeth to solve circulation current reduction of permanent magnet linear synchronous motor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |