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/).

Download article (PDF)

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
10.2991/mcei-17.2017.68
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  -