Title: Modelling and compensation of temperature errors for articulated arm coordinate measuring machines

Authors: Guanbin Gao; Wenjin Ma; Jing Na; Fei Liu

Addresses: Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650500, China ' Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650500, China ' Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650500, China ' Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650500, China

Abstract: The temperature variation is an important factor affecting the accuracy of the articulated arm coordinate measuring machine (AACMM). This paper addresses the modelling and compensation of temperature errors in AACMMs. Firstly, a temperature field model of AACMMs is established by finite element analysis, based on which the influence of temperature change on single-point repeatability accuracy and spatial distance measuring accuracy for AACMMs are analysed. The results of the analysis show that non-zero linear parameters of AACMMs are influenced by temperature variation greatly, while the angular parameters are almost unchanged. Then, a temperature scaling method is proposed to improve the distance measuring accuracy of AACMMs, and a linear regression temperature error compensation model is established under the simulation environment. Experimental results show that in the presence of temperature scaling method, the average absolute value of distance measuring accuracy is improved by 65.24%.

Keywords: AACMMs; articulated arm coordinate measuring machines; repeatability; spatial distance measuring accuracy; error compensation; temperature compensation; finite element analysis.

DOI: 10.1504/IJMIC.2020.114784

International Journal of Modelling, Identification and Control, 2020 Vol.35 No.4, pp.305 - 315

Received: 28 Apr 2020
Accepted: 26 Jun 2020

Published online: 29 Apr 2021 *

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