Measurement and Modeling of Spindle Thermal Error of Fiveaxis 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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التفاصيل البيبلوغرافية
الحاوية / القاعدة:Journal of Harbin University of Science and Technology
المؤلفون الرئيسيون: LIU Xianli, SONG Houwang, WU Shi, YUE Caixu, Steven Y.Liang, LI Rongyi
التنسيق: مقال
اللغة:الصينية
منشور في: Harbin University of Science and Technology Publications 2019-12-01
الموضوعات:
الوصول للمادة أونلاين: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
container_title Journal of Harbin University of Science and Technology
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.
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publisher Harbin University of Science and Technology Publications
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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 Fiveaxis 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 Fiveaxis CNC Machine Tool with Double Turntable
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 Fiveaxis CNC Machine Tool with Double Turntable
title_full Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable
title_fullStr Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable
title_full_unstemmed Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable
title_short Measurement and Modeling of Spindle Thermal Error of Fiveaxis CNC Machine Tool with Double Turntable
title_sort measurement and modeling of spindle thermal error of fiveaxis 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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