A self-calibration scheme for two-dimensional free-form probing measurement under the assumption of rigid-body machine kinematic model

Measurement Volume 222 Page 113586- published_at 2023-09-20
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Title ( eng )
A self-calibration scheme for two-dimensional free-form probing measurement under the assumption of rigid-body machine kinematic model
Creator
Onishi Shota
Yamaguchi Masashi
Sugimoto Takao
Source Title
Measurement
Volume 222
Start Page 113586
Abstract
A major uncertainty contributor to the on-machine probing is linear axis kinematic errors. This paper proposes a novel self-calibration scheme to separate the workpiece geometry and machine tool kinematic errors from the probed profiles. Many self-calibration schemes have been well developed, but they are limited to either of the straightness, roundness, and two-dimensional (2D) grid point positions, since they require the probed points being in a closed set, as the workpiece is rotated or translated. This paper proposes its extension to a free-form 2D geometry. A key idea is on the assumption that the machine tool’s positioning error is in accordance with the rigid-body kinematic model. It makes linear axis error motions, represented in a look-up table format, be in a closed set. Two experimental case studies are presented. The uncertainty assessment is essential to investigate the effectiveness of the proposed scheme for the given workpiece geometry.
Keywords
Self-calibration
On-machine measurement
Geometric error
Five-axis machine tool
Metrology
Language
eng
Resource Type journal article
Publisher
Elsevier
Date of Issued 2023-09-20
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/
This is not the published version. Please cite only the published version.
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.measurement.2023.113586 isVersionOf
Remark The full-text file will be made open to the public on 20 September 2025 in accordance with publisher's 'Terms and Conditions for Self-Archiving'