Applied Sciences (Feb 2023)

Novel Real-Time Compensation Method for Machine Tool’s Ball Screw Thermal Error

  • Ren Rong,
  • Huicheng Zhou,
  • Yubin Huang,
  • Jianzhong Yang,
  • Hua Xiang

DOI
https://doi.org/10.3390/app13052833
Journal volume & issue
Vol. 13, no. 5
p. 2833

Abstract

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The real-time compensation of thermal error in ball screws is an effective means to improve the accuracy of machining tools. However, the trade-off between robustness and computational efficiency of existing ball screw thermal error models is complicated and not conducive to practical, high-precision, real-time error compensation. Focusing on this problem, we propose an iterative prediction model of screw thermal error based on a finite difference equation. By assuming an approximately linear relationship between heat generation and the ball screw’s convection power and feed speed, a simplified and more efficient identification of physical parameters needed for the iterative model is achieved. The proposed method is integrated with a three-axis drilling and tapping machine powered by an HNC–848D controller. A test piece machine using the proposed real-time thermal error compensation method exhibited a maximum machining error of 13 µm, compared to the 71 µm of an uncompensated specimen. The proposed method is demonstrated to improve machining accuracy, especially in the X- and Y- axes, and overcome the limitations of traditional thermal error prediction models.

Keywords