Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/73451
Title: Experimental validation of prediction accuracy using a hybrid thermal error model in machine tool positioning error compensation
Authors: Ramesh, R.
Mannan, M.A. 
Poo, A.N. 
Issue Date: 2003
Source: Ramesh, R.,Mannan, M.A.,Poo, A.N. (2003). Experimental validation of prediction accuracy using a hybrid thermal error model in machine tool positioning error compensation. Transactions of the North American Manufacturing Research Institution of SME 31 : 217-224. ScholarBank@NUS Repository.
Abstract: Several factors play a crucial role in arriving at effective prediction and compensation of machine tool thermal error. Machine accuracy varies depending upon the operating conditions used. The thermal error model needs to be capable of accounting for such differences. In addition, the specific positioning accuracy measurement method adopted also affects the performance accuracy of the compensation system. This paper attempts to present, through specific experimental tests, the impact of different factors on the accuracy of the thermal error prediction system. The performance of the hybrid thermal error model developed for predicting the axis positioning accuracy is evaluated based on the tests conducted.
Source Title: Transactions of the North American Manufacturing Research Institution of SME
URI: http://scholarbank.nus.edu.sg/handle/10635/73451
ISBN: 9781618394781
ISSN: 10473025
Appears in Collections:Staff Publications

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