Machine tool calibration: Measurement, modeling, and compensation of machine tool errors

Published

April 20, 2023

Author(s)

Wei Gao, Soichi Ibaraki, Alkan Donmez, D. Kono, J.R.R Mayer, Yuan-Liu Chen, Karoly Szipka, Andreas Archenti, Jean-Marc Linares, N. Suzuki

Abstract

Advanced technologies for the calibration of machine tools are presented. Kinematic errors independently of their causes are classified into errors within one-axis as intra-axis errors, errors between axes as inter-axis errors, and as volumetric errors. As the major technological elements of machine tool calibration, the measurement methods, modeling theories, and compensation strategies of the machine tool errors are addressed. The criteria for selecting a combination of the technological elements for machine tool calibration from the point of view of accuracy, complexity, and cost are provided. Recent applications of artificial intelligence and machine learning in machine tool calibration are introduced. Remarks are also made on future trends in machine tool calibration.

Citation

International Journal of Machine Tools & Manufacture

Volume

187

Pub Type

Journals

Download Paper

https://doi.org/10.1016/j.ijmachtools.2023.104017

Local Download

Keywords

machine tool, calibration, error, kinematic, geometric, thermal, load, volumetric, uncertainty, error separation, machine learning, artificial intelligence

Citation

Gao, W. , Ibaraki, S. , Donmez, A. , Kono, D. , Mayer, J. , Chen, Y. , Szipka, K. , Archenti, A. , Linares, J. and Suzuki, N. (2023), Machine tool calibration: Measurement, modeling, and compensation of machine tool errors, International Journal of Machine Tools & Manufacture, [online], https://doi.org/10.1016/j.ijmachtools.2023.104017, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935957 (Accessed October 14, 2024)