Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

Perpendicularity errors calibration of rotation axis with linear axis using laser tracker

Authors
Jian Yin
Corresponding Author
Jian Yin
Available Online January 2018.
DOI
10.2991/macmc-17.2018.58How to use a DOI?
Keywords
perpendicularity error; calibration; laser tracker;
Abstract

As the perpendicularity errors between the rotation axis and linear axis have large influence the accuracy of the large gantry machine tool. A method for perpendicularity errors calibration of five-axis gantry machine tool was proposed. A Leica laser tracker was used to collect the error components values for its faster inspection, highly reliable and easy to set up. The error components were identified through least square estimation arithmatic with Metrolog software. The perpendicularity errors between the rotation axis and linear axis were obtained through the fitting center of two following circle and linear axis. The measurement results achieved by the proposed method showed that the perpendicularity was well according with the design requirements.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
10.2991/macmc-17.2018.58
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.58How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jian Yin
PY  - 2018/01
DA  - 2018/01
TI  - Perpendicularity errors calibration of rotation axis with linear axis using laser tracker
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 276
EP  - 280
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.58
DO  - 10.2991/macmc-17.2018.58
ID  - Yin2018/01
ER  -