Author:
Ye Xin,Liu Pan,Zhang Zhijing,Shao Chao,Li Yan
Abstract
Purpose
– The purpose of this paper is to analyze the sensitivity of the motion error parameters in microassembly process, thereby improving the assembly accuracy. The motion errors of the precision motion stages directly affect the final assembly quality after the machine visual alignment.
Design/methodology/approach
– This paper presents the error parameters of the in-house microassembly system with coaxial alignment function, builds the error transfer model by the multi-body system theory, analyzes the error sensitivity on the sensitive direction using the Sobol method, which was based on variance, and then gets the ones which made a great degree of influence. Before the sensitivity analyzing, parts of the error sources have been measured to obtain their distribution ranges.
Findings
– The results of the sensitivity analysis by the Sobol method, which was based on variance, are coincident with the theoretical analysis. Besides, the results provide a reference for the error compensation in control process, for the selection of the precision motion stages and for the installation index of the motion stages of the assembly system with coaxial alignment.
Originality/value
– This kind of error sensitivity analysis method is of great significance for improving the assembly accuracy after visual system positioning, and increasing efficiency from the initial motion stage selection to final error compensation for designers. It is suitable for general precision motion systems be of multi-degree of freedom, for the method of modeling, measuring and analyzing used in this paper are all universal and applicative.
Subject
Industrial and Manufacturing Engineering,Control and Systems Engineering
Reference30 articles.
1. Castro, C.
and
Montesanti, R.C.
(2009), “Reconfigurable assembly station for precision manufacture of nuclear fusion ignition targets”, ASPE 24th Annual Meeting Monterey, Monterey, CA.
2. Chen, Y.
,
Xie, F.
,
Liu, X.
and
Zhou, Y.
(2014), “Error modeling and sensitivity analysis of a parallel robot with SCARA (Selective Compliance Assembly Robot Arm) motions”,
Chinese Journal of Mechanical Engineering
, Vol. 27 No. 4, pp. 693-702.
3. Chu, H.K.
and
Mills, J.K.
(2011), “Image-based visual servoing through micropart reflection for the microassembly process”,
Journal of Micromechanics And Microengineering
, Vol. 21 No. 6, pp. 1-12.
4. Dewhurst, P.
,
Knight, W.
and
Boothroyd, G.
(2001),
Product Design for Manufacture & Assembly Revised & Expanded
, CRC Press, New York, NY.
5. Dhar, V.K.
and
Tickoo, A.K.
(2010), “Artificial neural network-based error compensation procedure for low-cost encoders”,
Computing Research Repository - CORR
, Vol. 21 No. 1, pp. 1-9.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献