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机床主轴轴向热误差一阶自回归建模方法

Translated title of the contribution: First-order autoregressive modeling method for axial thermal error of machine tool spindle
  • Xi'an Jiaotong University
  • Hebei University of Engineering

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

To solve the problem that the empirical modeling for thermal error of machine tool spindle lacks physical significance, and the modeling accuracy and robustness are greatly affected by pseudo-hysteresis effect of thermal deformation, a modeling method for thermal error of machine tool spindle which has clear physical meaning and is not affected by pseudo-hysteresis effect is derived from theoretical perspective. Firstly, the spindle is simplified as a one-dimensional rod. Taking into account the convection between cylinder surface and air, the analytical solutions of temperature field and thermal deformation of the rod under the condition of single-end heat source are obtained by using heat transfer theory. Then the thermal deformation expression is transformed, and the first-order autoregressive model for the rod under the condition of single-end fixed heat source is derived. After that, the validity of the first-order autoregressive model for the thermal deformation of the rod under the condition of variable heat source is verified, and the relationship between the coefficients of the autoregressive model and the physical characteristics of the spindle, the time interval of the autoregressive model and the heat source is pointed out. Finally, finite element simulation is carried out, and the experimental verification is performed on Headman T65 lathe. The simulation results show that the first-order autoregressive model can effectively estimate the thermal deformation of the one-dimensional rod under the condition of variable heat source and is not affected by the pseudo-hysteresis effect. The experimental results on the T65 lathe show that, compared with multiple linear regression model, the first-order autoregressive model is more robust and has clear physical significance.

Translated title of the contributionFirst-order autoregressive modeling method for axial thermal error of machine tool spindle
Original languageChinese (Traditional)
Pages (from-to)60-67
Number of pages8
JournalHarbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume53
Issue number7
DOIs
StatePublished - 30 Jul 2021

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