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

International Journal of Machine Tools and Manufacture Volume 187 Page 104017- published_at 2023-03-29
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Title ( eng )
Machine tool calibration: Measurement, modeling, and compensation of machine tool errors
Creator
Gao Wei
Donmez M. Alkan
Kono Daisuke
Mayer J.R.R.
Chen Yuan-Liu
Szipka Károly
Archenti Andreas
Linares Jean-Marc
Suzuki Norikazu
Source Title
International Journal of Machine Tools and Manufacture
Volume 187
Start Page 104017
Journal Identifire
EISSN 0890-6955
NCID AA11531434
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.
Keywords
Machine tool
Calibration
Measurement
Uncertainty
Self-calibration
Machine learning
Language
eng
Resource Type journal article
Publisher
Elsevier
Date of Issued 2023-03-29
Rights
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。
Publish Type Accepted Manuscript
Access Rights embargoed access
Source Identifier
[DOI] https://doi.org/10.1016/j.ijmachtools.2023.104017
Remark The full-text file will be made open to the public on 29 Mar 2025 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.