| Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine | |
| Alternative Title | Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine |
| Ma Ning1; Xu Wenji1; Wang Xuyue1; Wei Zefei1; Pang Guibing3 | |
| 2011 | |
| Source Publication | JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY
 |
| ISSN | 1005-9784 |
| Volume | 18Issue:3Pages:685-689 |
| 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 the experimental values under the same conditions was carried out. The results show that the predicted values are found to be approximately consistent with the experimental values. The mean absolute percent error (MAPE) is 2.43% for the surface roughness and 2.61% for the applied voltage. |
| Other 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 the experimental values under the same conditions was carried out. The results show that the predicted values are found to be approximately consistent with the experimental values. The mean absolute percent error （MAPE） is 2.43% for the surface roughness and 2.61% for the applied voltage. |
| Keyword | pulse electrochemical finishing (PECF) surface roughness least squares support vector machine (LSSVM) prediction |
| Indexed By | CSCD |
| Language | 英语 |
| Funding Project | [National Natural Science Foundation of China] ; [Liaoning Science and Technology Foundation, China] |
| CSCD ID | CSCD:4222038 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/155771 |
| Collection | 中国科学院金属研究所 |
| Affiliation | 1.大连大学 2.中国科学院金属研究所 3.Dalian Polytech University, Sch Mech Engn & Automat, Dalian 116034, Peoples R China |
| Recommended Citation GB/T 7714 | Ma Ning,Xu Wenji,Wang Xuyue,et al. Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY,2011,18(3):685-689. |
| APA | Ma Ning,Xu Wenji,Wang Xuyue,Wei Zefei,&Pang Guibing.(2011).Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine.JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY,18(3),685-689. |
| MLA | Ma Ning,et al."Prediction method for surface finishing of spiral bevel gear tooth based on least square support vector machine".JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY 18.3(2011):685-689. |
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