Modelling and compensation of temperature errors for articulated arm coordinate measuring machines Online publication date: Thu, 06-May-2021
by Guanbin Gao; Wenjin Ma; Jing Na; Fei Liu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 35, No. 4, 2020
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%.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook