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Error-space-oriented tolerance design for a deployable mechanism with multiple clearances

Published online by Cambridge University Press:  22 February 2022

Jianzhong Ding Open the ORCID record for Jianzhong Ding [Opens in a new window] ,
Yang Dong ,
Xueao Liu  and
Chunjie Wang
Jianzhong Ding
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
Yang Dong
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
Xueao Liu*
Affiliation:
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
Chunjie Wang
Affiliation:
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
*
*Corresponding author. E-mail: [email protected]
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Abstract

This paper presents a geometrical alternative to estimate the accuracy of a deployable mechanism equipped on the Synthetic Aperture Radar (SAR) space satellite. The deployable mechanism is simplified into a planar mechanism, and the error space of the outer panel in its deployed state is modeled concerning multiple revolute joint clearances and link length tolerances. Compared with the existing methods, the advance of the proposed geometrical approach lies in that it gives expressions of the complete error mobility that the outer panel may have. After deducing the expressions, the final error space is visualized and evaluated numerically with discrete sampling points. Finally, based on the error space and the computed maximum errors, effects of tolerances on accuracy are studied and the optimal accuracy design of tolerances is obtained. The result reveals that, for the deployable mechanism discussed in this paper, effects of tolerances on the final accuracy can be eliminated without increasing the manufacturing cost.

Keywords

deployable mechanismtoleranceclearanceerror modelingkinematics
Type
Research Article
Information
Robotica , Volume 40 , Issue 9 , September 2022 , pp. 3254 - 3265
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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