Modern Manufacturing Engineering ›› 2018, Vol. 451 ›› Issue (4): 108-114.doi: 10.16731/j.cnki.1671-3133.2018.04.020

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Optimizing of CNC machine tool temperature measuring points based on sequential cluster method

Wei Xian   

  1. Panzhihua University, Panzhihua 617000, Sichuan, China
  • Received:2017-02-12 Online:2018-04-20 Published:2018-07-18

Abstract: The performance of CNC machine tool thermal error compensation model is affected directly by the selection of temperature sensor placement.An optimizing method of sensor selected by sequential cluster is proposed, given that the characteristic temperature is transferred in order.Based on experiment data, classification diameters are calculated and their objective function are compared.Then the optimizing classification number and optimizing sensor placement are determined by the calculation of correlation coefficient between thermal error and temperature value.Thermal error prediction model is established with a position error modelling method and the selected points.In comparison with models established by fuzzy cluster and variable grouping, the results show the proposed method can accurately predict and has potential application prospect.

Key words: CNC machine tool, thermal error, measuring points optimizing, sequential cluster, thermal error compensation

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