New approach to spindle thermal extension measuring based on machine vision for the vertical maching centre

Authors

  • Dongxu Su Xi’an Jiaotong University, State Key Laboratory for Manufacturing System Engineering, Xi’an, Shaanxi 710054, China
  • Xin Cai Xi’an Jiaotong University, State Key Laboratory for Manufacturing System Engineering, Xi’an, Shaanxi 710054, China
  • Yang Li Xi’an Jiaotong University, State Key Laboratory for Manufacturing System Engineering, Xi’an, Shaanxi 710054, China
  • Wanhuan Zhao Xi’an Jiaotong University, State Key Laboratory for Manufacturing System Engineering, Xi’an, Shaanxi 710054, China
  • Huijie Zhang Xi’an Jiaotong University, State Key Laboratory for Manufacturing System Engineering, Xi’an, Shaanxi 710054, China

DOI:

https://doi.org/10.24425/mms.2021.136612

Keywords

Spindle thermal extension measuring, machine vision, Gaussian sub-pixel fitting, thermal error compensation

Abstract

When machine tool spindles are running at a high rotation speed, thermal deformation will be introduced due to the generation of large amounts of heat, and machining accuracy will be influenced as a result, which is a generalized issue in numerous industries. In this paper, a new approach based on machine vision is presented for measurements of spindle thermal error. The measuring system is composed of a Complementary Metal-Oxide-Semiconductor (CMOS) camera, a backlight source and a PC. Images are captured at different rotation angles during end milling process. Meanwhile, the Canny edge detection and Gaussian sub-pixel fitting methods are applied to obtain the bottom edge of the end mill which is then used to calculate the lowest point coordinate of the tool. Finally, thermal extension of the spindle is obtained according to the change of the lowest point at different time steps of the machining process. This method is validated through comparison with experimental results from capacitive displacement sensors. Moreover, spindle thermal extension during the processing can be precisely measured and used for compensation in order to improve machining accuracy through the proposed method.

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Published

2021-06-30

How to Cite

Su, Dongxu, et al. “New Approach to Spindle Thermal Extension Measuring Based on Machine Vision for the Vertical Maching Centre”. Metrology and Measurement Systems, vol. 28, no. 2, June 2021, pp. 357-70, doi:10.24425/mms.2021.136612.

Issue

Vol. 28 No. 2 (2021)

Section

Articles