Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle.
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| Title: | Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle. |
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| Authors: | Zimmermann, Nico1 (AUTHOR) zimmermann@iwf.mavt.ethz.ch, Ibaraki, Soichi2 (AUTHOR) |
| Source: | International Journal of Advanced Manufacturing Technology. Mar2020, Vol. 107 Issue 5/6, p2107-2120. 14p. 1 Color Photograph, 4 Diagrams, 10 Charts, 10 Graphs. |
| Subjects: | Machine tools, Axes, Motion, Calibration |
| Abstract: | Efficient, precise and automated in-process calibration schemes are essential to improve the accuracy and productivity of five-axis machine tools. This paper presents a new calibration approach, which combines an on-machine measurement cycle and self-calibration techniques, to evaluate the position errors and the error motions of a rotary axis using a touch trigger probe and an uncalibrated cylindrical artefact. This significantly reduces the downtime of machine tools required for the calibration process. In contrast to many common calibration strategies for rotary axes of five-axis machine tools, the presented self-calibration concept does not neglect the positioning errors of the linear axes when identifying the position errors and the error motions of the rotary axis. The self-calibration procedure is able to separate the positioning errors of the linear axes in radial direction, and the radial error motions and the position errors of a rotary axis, as well as the errors related to the uncalibrated artefact. This error separation is realized by a test cycle consisting of four tests in which the measurements are conducted by particular axis movements. Furthermore, an uncertainty analysis of the self-calibration concept is conducted to visualize the uncertainty propagation within the mathematical model. The self-calibration procedure is analyzed by an experimental evaluation, which includes a comparison between the results of the self-calibration approach and an R-Test. This comparison shows that the results of both measurement procedures are consistent. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 142632141 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zimmermann%2C+Nico%22">Zimmermann, Nico</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zimmermann@iwf.mavt.ethz.ch</i><br /><searchLink fieldCode="AR" term="%22Ibaraki%2C+Soichi%22">Ibaraki, Soichi</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Mar2020, Vol. 107 Issue 5/6, p2107-2120. 14p. 1 Color Photograph, 4 Diagrams, 10 Charts, 10 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+tools%22">Machine tools</searchLink><br /><searchLink fieldCode="DE" term="%22Axes%22">Axes</searchLink><br /><searchLink fieldCode="DE" term="%22Motion%22">Motion</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Efficient, precise and automated in-process calibration schemes are essential to improve the accuracy and productivity of five-axis machine tools. This paper presents a new calibration approach, which combines an on-machine measurement cycle and self-calibration techniques, to evaluate the position errors and the error motions of a rotary axis using a touch trigger probe and an uncalibrated cylindrical artefact. This significantly reduces the downtime of machine tools required for the calibration process. In contrast to many common calibration strategies for rotary axes of five-axis machine tools, the presented self-calibration concept does not neglect the positioning errors of the linear axes when identifying the position errors and the error motions of the rotary axis. The self-calibration procedure is able to separate the positioning errors of the linear axes in radial direction, and the radial error motions and the position errors of a rotary axis, as well as the errors related to the uncalibrated artefact. This error separation is realized by a test cycle consisting of four tests in which the measurements are conducted by particular axis movements. Furthermore, an uncertainty analysis of the self-calibration concept is conducted to visualize the uncertainty propagation within the mathematical model. The self-calibration procedure is analyzed by an experimental evaluation, which includes a comparison between the results of the self-calibration approach and an R-Test. This comparison shows that the results of both measurement procedures are consistent. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00170-020-05105-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2107 Subjects: – SubjectFull: Machine tools Type: general – SubjectFull: Axes Type: general – SubjectFull: Motion Type: general – SubjectFull: Calibration Type: general Titles: – TitleFull: Self-calibration of rotary axis and linear axes error motions by an automated on-machine probing test cycle. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zimmermann, Nico – PersonEntity: Name: NameFull: Ibaraki, Soichi IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 03 Text: Mar2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 02683768 Numbering: – Type: volume Value: 107 – Type: issue Value: 5/6 Titles: – TitleFull: International Journal of Advanced Manufacturing Technology Type: main |
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