A self-calibration scheme to monitor long-term changes in linear and rotary axis geometric errors
Measurement Volume 196
Page 111183-
published_at 2022-04-16
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2024-04-16
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Title ( eng ) |
A self-calibration scheme to monitor long-term changes in linear and rotary axis geometric errors
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Creator |
Onishi Shota
Kato Tomoyasu
Yamaguchi Masashi
Sugimoto Takao
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Source Title |
Measurement
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Volume | 196 |
Start Page | 111183 |
Journal Identifire |
EISSN 1873-412X
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Abstract |
A calibration scheme of position and orientation errors of rotary axis average lines based on touch-trigger probing is widely available on many commercial five-axis machine tools. Such a measurement is influenced by error motions of both linear and rotary axes. This paper proposes a novel scheme to separately identify linear and rotary axis geometric errors by using a touch-trigger probe and an uncalibrated test piece. Whereas the proposed scheme is based on well-developed self-calibration schemes for the circularity measurement, an original contribution is that it is applied to separate linear and rotary axis geometric errors. Two case studies are presented. First, the proposed tests are performed on the same five-axis machine tool for half a year to observe a long-term change in linear and rotary axis geometric errors. The second case study investigates the influence of room temperature change on linear axis and rotary axis error motions.
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Keywords |
Geometric error
Five-axis machine tool
Touch-trigger probe
Self-calibration
Error separation
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Language |
eng
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Resource Type | journal article |
Publisher |
Elsevier
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Date of Issued | 2022-04-16 |
Rights |
© 2022. 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。
This is not the published version. Please cite only the published version.
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Publish Type | Accepted Manuscript |
Access Rights | open access |
Source Identifier |
[DOI] https://doi.org/10.1016/j.measurement.2022.111183
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Remark | The full-text file will be made open to the public on 16 Apr 2024 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. |