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| Content Provider | Springer Nature Link |
|---|---|
| Author | En ming, Miao Ya yun, Gong Lian chun, Dang Ji chao, Miao |
| Copyright Year | 2014 |
| Abstract | The temperature-sensitive point selection of computer numerical control (CNC) machine tools is crucial to thermal error modeling and compensation. Using the comprehensive analysis method which is a combination of fuzzy clustering, gray correlation, stepwise regression, and determination coefficient optimizes temperature measuring points. First of all, using fuzzy clustering and F statistic classifies temperature variables. Secondly, according to the gray correlation degree between the temperature variables and thermal error, the key temperature variable of each class is selected. Then, the significance of regression equation and parameters of thermal error model are tested, based on the stepwise regression analysis and the non-significant variables are excluded. Finally, the selected temperature variables are arranged to simple permutation and combination, and compares determination coefficients to determine the optimal temperature-sensitive points. The above method is verified on the Leaderway V-450 of CNC machining center. The thermal error prediction model is established. The accuracy and robustness of the model are analyzed. The results show that the temperature measuring point number is reduced from 10 to 2, the fitting accuracy of thermal error prediction model is high, and the model can achieve a good prediction effect and strong robustness under different conditions of spindle speeds and ambient temperature. |
| Starting Page | 681 |
| Ending Page | 691 |
| Page Count | 11 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 74 |
| Issue Number | 5-8 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2014-06-10 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | CNC machining center Thermal error Temperature-sensitive point Fuzzy clustering Gray correlation degree Stepwise regression analysis Determination coefficient Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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