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Kinematic calibration of a 3-DOF spindle head using a double ball bar

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Tian, Wenjie, Yin, Fuwen, Liu, Haitao, Li, Jinhe, Li, Qing, Huang, Tian and Chetwynd, D. G. (2016) Kinematic calibration of a 3-DOF spindle head using a double ball bar. Mechanism and Machine Theory, 102 . pp. 167-178. doi:10.1016/j.mechmachtheory.2016.04.008 ISSN 0094-114X.

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Official URL: http://dx.doi.org/10.1016/j.mechmachtheory.2016.04...

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Abstract

This paper presents a simple and effective approach for kinematic calibration of a 3-DOF spindle head developed for high-speed machining. This approach is implemented in three steps, (i) error modeling that allows the geometric errors affecting the compensatable and uncompensatable pose accuracy to be classified; (ii) identification of the geometric errors using a set of distance measurements acquired by a double ball bar (DBB) with a single installation; (iii) design of a linearized error compensator for real-time error implementation. Experimental results on a prototype machine show that the compensatable pose accuracy can significantly be improved by the proposed approach.

Item Type: Journal Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Robots -- Kinematics, Kinematic geometry
Journal or Publication Title: Mechanism and Machine Theory
Publisher: Pergamon-Elsevier Science Ltd.
ISSN: 0094-114X
Official Date: August 2016
Dates:
DateEvent
August 2016Published
23 April 2016Available
14 April 2016Accepted
18 May 2015Submitted
Volume: 102
Page Range: pp. 167-178
DOI: 10.1016/j.mechmachtheory.2016.04.008
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 13 October 2016
Date of first compliant Open Access: 23 April 2017
Funder: Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC)
Grant number: 51420105007 and 51135008
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