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

Gao Wei

Ibaraki Soichi

Donmez M. Alkan

Kono Daisuke

Mayer J.R.R.

Chen Yuan-Liu

Szipka Károly

Archenti Andreas

Linares Jean-Marc

Suzuki Norikazu

International Journal of Machine Tools and Manufacture

EISSN 0890-6955

NCID AA11531434

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.

Machine tool

Calibration

Measurement

Uncertainty

Self-calibration

Machine learning

英語

Elsevier

© 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/

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[DOI] https://doi.org/10.1016/j.ijmachtools.2023.104017