Optics and Precision Engineering, Volume. 30, Issue 12, 1462(2022)

General-purpose temperature sensitive point combination selection for thermal error of machine tool spindle

Linfeng ZHOU1、*, Guoqiang FU1,2,3, Zhengtang LI4, Guoqiang LEI1, and Xiaolei DENG5
Author Affiliations
  • 1School of Mechanical Engineering, Southwest Jiaotong University, Chengdu6003, China
  • 2State Key Laboratory of Fluid Power and Mechatronics, Zhejiang University, Hangzhou31007, China
  • 3School of Mechanical Engineering, Sichuan University, Chengdu610065, China
  • 4Chongqing Well Primus Technology Research Institute Co. Ltd., Chongqing00050, China
  • 5Key Laboratory of Air-driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou324000, China
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    Figures & Tables(27)
    Structure diagram of BP neural network
    VMC850 machining center test site
    Sensor location
    Partial temperature data and thermal deformation at 2 500 r/min
    Flow chart of comprehensive selection method for optimal temperature sensitive points
    Thermal error residual curve of X2 corresponding to different K values at 2 500 r/min
    Prediction performance evaluation results of various thermal errors of BP model
    Thermal error prediction residual of X1 corresponding to part of K values at 2 500 r/min
    Thermal error prediction result of Z corresponding to the combination of different temperature sensitive points at 2 000 r/min
    Prediction residual of thermal error of Z corresponding to part temperature sensitive points combination at 3 000 r/min
    Prediction residual of part temperature sensitive point combination corresponding to thermal error of Z at 5 000 r/min
    Thermal error predictive results of thermal error of Z of RBF model corresponding to part of sensitive temperature points at 2 500 r/min
    Thermal error predictive results of thermal error of Z of SVM model corresponding to part of sensitive temperature points at 2 500 r/min
    Thermal error predictive results of thermal error of Z of MLR model corresponding to part of sensitive temperature points at 2 500 r/min
    • Table 1. Specific distribution of temperature sensors

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      Table 1. Specific distribution of temperature sensors

      位置温度传感器标号
      主轴T1,T2,T3,T4,T5,T6
      主轴箱T7,T9,T10,T11,T12,T13,T20,T21,T22,T27
      箱体两侧T23,T28
      箱体后侧T15,T17,T24
      工作台T14,T16,T18,T19,T25,T26,T29
      环境温度T8
    • Table 2. Design of thermal error experimental conditions

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      Table 2. Design of thermal error experimental conditions

      实验编号主轴转速/(r·min-1采集时间/min
      A组2 000430
      B组2 500210
      C组3 000210
      D组5 000195
    • Table 3. Absolute average correlation coefficient of temperature and thermal error data at 2 500 r/min speed

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      Table 3. Absolute average correlation coefficient of temperature and thermal error data at 2 500 r/min speed

      温度R¯温度R¯温度R¯温度R¯温度R¯
      T10.648 9T70.637 4T130.638 1T190.672 5T250.656 4
      T20.648 8T80.642 8T140.634 4T200.644 3T260.687 6
      T30.648 7T90.635 4T150.674 6T210.640 0T270.643 0
      T40.648 7T100.643 0T160.649 8T220.648 8T280.646 7
      T50.648 7T110.640 7T170.647 0T230.585 9T290.645 6
      T60.648 7T120.642 1T180.676 9T240.644 9
    • Table 4. Clustering results of temperature variables corresponding to different K values

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      Table 4. Clustering results of temperature variables corresponding to different K values

      K聚类结果
      3{T8,T14,T25},{T15~T21,T23,T24,T26,T28, T29},{T1~T7,T9~T13,T22, T27}
      4{T4},{T8,T18,T25,T26,T29},{T15~T17,T19~T21,T23,T24,T28},{T1~T7,T9~T13,T22,T27}
      5{T15~T19,T24,T28},{T8,T25,T26,T29},{T7,T9,T11,T20,T21,T23},{T1~T6,T10,T12,T13,T22,T27},{T14}
      6{T26,T29},{T8,T25},{T7,T9,T11,T20,T21,T23},{T1~T6,T10,T12,T13,T22,T27},{T14},{T15~T19,T24,T28}
      7{T26,T29},{T8,T25},{T15,T17},{T1~T6,T10,T12,T13,T22,T27},{T14},{T16,T18,T19,T24,T28},{T7,T9,T11,T20,T21,T23}
      8{T26,T29},{T8,T25},{T15,T17},{T1~T7,T9~T13,T27},{T14},{T16,T18,T19,T24,T28},{T20,T21,T23},{T22}
      9{T26,T29},{T8,T25},{T15,T17},{T1~T6,T10,T12,T13,T27},{T14},{T16,T18,T19,T24,T28},{T21,T23},{T22},{T7,T9,T11,T20}
    • Table 5. Combination of temperature sensitive points corresponding to different K values at 2 500 r/min speed

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      Table 5. Combination of temperature sensitive points corresponding to different K values at 2 500 r/min speed

      K温度敏感点组合
      3T26,T25,T15
      4T26,T25,T15,T1
      5T26,T25,T15,T1,T14
      6T26,T25,T15,T1,T14,T18
      7T26,T25,T15,T1,T14,T18,T21
      8T26,T25,T15,T1,T14,T18,T21,T22
      9T26,T25,T15,T1,T14,T18,T21,T22,T20
    • Table 6. Absolute residual and absolute root mean square deviation calculation results

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      Table 6. Absolute residual and absolute root mean square deviation calculation results

      KASAM
      32.7962.855
      42.6422.677
      52.6572.693
      62.6512.689
      72.7802.829
      82.7582.808
      92.6732.711
    • Table 7. Prediction performance evaluation results of thermal error of X1

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      Table 7. Prediction performance evaluation results of thermal error of X1

      KMS
      30.1610.129
      40.0880.075
      50.1490.122
      60.1160.094
      70.1360.112
      80.2270.162
      90.1210.099
    • Table 8. Evaluation results of different K values of thermal error of Z at 2 000 r/min

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      Table 8. Evaluation results of different K values of thermal error of Z at 2 000 r/min

      KMS
      31.6671.475
      40.1490.122
      51.8441.615
      61.0890.911
      70.2810.202
      81.0350.876
      90.2520.204
    • Table 9. Evaluation results of different K values of Z directions at 3 000 r/min

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      Table 9. Evaluation results of different K values of Z directions at 3 000 r/min

      KMS
      30.2540.231
      40.1290.107
      50.2170.200
      60.2050.188
      70.1550.139
      80.2680.247
      90.1730.157
    • Table 10. Evaluation results of different K values of thermal error of Z at 5 000 r/min

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      Table 10. Evaluation results of different K values of thermal error of Z at 5 000 r/min

      KMS
      30.2140.184
      40.1570.137
      50.5760.555
      60.6240.598
      70.4830.472
      80.3990.349
      90.4650.444
    • Table 11. Evaluation results of RBF model prediction performance corresponding to different K values at 2 500 r/min

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      Table 11. Evaluation results of RBF model prediction performance corresponding to different K values at 2 500 r/min

      KMS
      31.8241.625
      40.3570.323
      50.4500.352
      60.5190.391
      70.5180.412
      80.7790.689
      90.8170.704
    • Table 12. Evaluation results of SVM model prediction performance corresponding to different K values at 2 500 r/min

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      Table 12. Evaluation results of SVM model prediction performance corresponding to different K values at 2 500 r/min

      KMS
      33.7333.427
      40.6430.506
      50.6430.522
      61.0010.852
      71.1370.962
      81.4111.222
      91.7961.554
    • Table 13. Evaluation results of SVM model prediction performance corresponding to different K values at 2 500 r/min

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      Table 13. Evaluation results of SVM model prediction performance corresponding to different K values at 2 500 r/min

      KMS
      33.8183.521
      40.1570.123
      50.2380.197
      60.2300.188
      70.2430.201
      80.3730.300
      90.5280.439
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    Linfeng ZHOU, Guoqiang FU, Zhengtang LI, Guoqiang LEI, Xiaolei DENG. General-purpose temperature sensitive point combination selection for thermal error of machine tool spindle[J]. Optics and Precision Engineering, 2022, 30(12): 1462

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    Paper Information

    Category: Micro/Nano Technology and Fine Mechanics

    Received: Nov. 29, 2021

    Accepted: --

    Published Online: Jul. 5, 2022

    The Author Email: ZHOU Linfeng (zlx012614@163.com)

    DOI:10.37188/OPE.20223012.1462

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