Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Indirect Principle Analysis Of The Kinematic Errors In Five-Axis Machine Tool Rotary Table Based On The Error Sensitive Direction Vector

Authors
Ya Zhang
Corresponding Author
Ya Zhang
Available Online December 2017.
DOI
10.2991/mcei-17.2017.68How to use a DOI?
Keywords
Machine tool, Kinematic errors, Indirect measurement
Abstract

The kinematic errors of five-axis machine tool can be identified in no-cutting situation by the special instruments. However, the measurement process is complex and time-consuming. Machining paths of the test piece can represents the relationship of the kinematic errors of the rotary axis and the machining errors of the test piece. A series of machining paths were proposed to identify the kinematic errors. A equation set of the kinematic errors was set up, from which the kinematic errors can be solved.

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 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
10.2991/mcei-17.2017.68How 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
PY  - 2017/12
DA  - 2017/12
TI  - Indirect Principle Analysis Of The Kinematic Errors In Five-Axis Machine Tool Rotary Table Based On The Error Sensitive Direction Vector
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 313
EP  - 316
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.68
DO  - 10.2991/mcei-17.2017.68
ID  - Zhang2017/12
ER  -