Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Analysis of the Separation Principle of Kinematic Errors from the Rotation Axis in Manufacturing Equipment

Authors
Ya Zhang, Lin Zhang
Corresponding Author
Ya Zhang
Available Online June 2017.
DOI
10.2991/icmia-17.2017.108How to use a DOI?
Keywords
Kinematic Errors; Rotation Axis; Machine Tool
Abstract

Machining tests were used to identify the kinematic errors of the rotary axes in machine tools. The key to design the machining tests is analyzing the relationship of the kinematic errors of the machine tool and the machining errors of the test workpiece. By adopting the error-sensitive direction vector, the relationship of the machining errors of the test workpiece and the kinematic errors of machine tool rotation axis was analyzed. Then the error-sensitive direction vector is adopted to separate the individual kinematic error of the rotation axis. This analysis method can support a foundation and reference for the machining tests design to separate the rotation axis in all types of manufacturing equipment.

Copyright
© 2017, 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 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
10.2991/icmia-17.2017.108How to use a DOI?
Copyright
© 2017, 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  - Ya Zhang
AU  - Lin Zhang
PY  - 2017/06
DA  - 2017/06
TI  - Analysis of the Separation Principle of Kinematic Errors from the Rotation Axis in Manufacturing Equipment
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 610
EP  - 614
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.108
DO  - 10.2991/icmia-17.2017.108
ID  - Zhang2017/06
ER  -