Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable
In order to measure the thermal error of the spindle in the actual cutting process of CNC machine tools and optimize the output of the thermal error model, a method of measuring the thermal error of the spindle of machine tools by using the thermal test piece is proposed, and the thermal error is se...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2019-12-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1791 |
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| author | LIU Xianli SONG Houwang WU Shi YUE Caixu Steven Y.Liang LI Rongyi |
| author_facet | LIU Xianli SONG Houwang WU Shi YUE Caixu Steven Y.Liang LI Rongyi |
| author_sort | LIU Xianli |
| collection | DOAJ |
| description | In order to measure the thermal error of the spindle in the actual cutting process of CNC machine tools and optimize the output of the thermal error model, a method of measuring the thermal error of the spindle of machine tools by using the thermal test piece is proposed, and the thermal error is separated by using the error characteristics. In order to optimize the selection of temperature measurement points in the thermal error modeling of machine tools, a method based on the combination of K-means + + algorithm and correlation coefficient method is proposed to select the temperature sensitive points. K-means + + algorithm is used to cluster all temperature measurement points, and correlation coefficient method is used to calculate the correlation between each temperature variable and the thermal error of the spindle, so as to determine the temperature sensitive points, combined with the separated thermal error to establish a multivariate linear regression model of spindle thermal error. The method is tested on VMCC50 double turntable five axis CNC machine. The results show that the number of temperature measuring points is reduced from 8 to 2, and the prediction accuracy and robustness of the model are effectively improved. |
| format | Article |
| id | doaj-art-ea2fc3f3335d4352bc95f889de7061bb |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2019-12-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-ea2fc3f3335d4352bc95f889de7061bb2025-08-20T04:01:03ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832019-12-01240611010.15938/j.jhust.2019.06.001Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double TurntableLIU Xianli0SONG Houwang1WU Shi2YUE Caixu3Steven Y.Liang4LI Rongyi5School of Mechanical and Power Engineering， Harbin University of Science and Technology， Harbin 150080， ChinaSchool of Mechanical and Power Engineering， Harbin University of Science and Technology， Harbin 150080， ChinaSchool of Mechanical and Power Engineering， Harbin University of Science and Technology， Harbin 150080， ChinaSchool of Mechanical and Power Engineering， Harbin University of Science and Technology， Harbin 150080， ChinaGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta 30332, USASchool of Mechanical and Power Engineering， Harbin University of Science and Technology， Harbin 150080， ChinaIn order to measure the thermal error of the spindle in the actual cutting process of CNC machine tools and optimize the output of the thermal error model, a method of measuring the thermal error of the spindle of machine tools by using the thermal test piece is proposed, and the thermal error is separated by using the error characteristics. In order to optimize the selection of temperature measurement points in the thermal error modeling of machine tools, a method based on the combination of K-means + + algorithm and correlation coefficient method is proposed to select the temperature sensitive points. K-means + + algorithm is used to cluster all temperature measurement points, and correlation coefficient method is used to calculate the correlation between each temperature variable and the thermal error of the spindle, so as to determine the temperature sensitive points, combined with the separated thermal error to establish a multivariate linear regression model of spindle thermal error. The method is tested on VMCC50 double turntable five axis CNC machine. The results show that the number of temperature measuring points is reduced from 8 to 2, and the prediction accuracy and robustness of the model are effectively improved.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1791five axis cnc machine toolthermal error of spindlethermal test piecek-means++ algorithmscorrelation coefficient method |
| spellingShingle | LIU Xianli SONG Houwang WU Shi YUE Caixu Steven Y.Liang LI Rongyi Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable Journal of Harbin University of Science and Technology five axis cnc machine tool thermal error of spindle thermal test piece k-means++ algorithms correlation coefficient method |
| title | Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable |
| title_full | Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable |
| title_fullStr | Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable |
| title_full_unstemmed | Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable |
| title_short | Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable |
| title_sort | measurement and modeling of spindle thermal error of fiveaxis cnc machine tool with double turntable |
| topic | five axis cnc machine tool thermal error of spindle thermal test piece k-means++ algorithms correlation coefficient method |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1791 |
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