Application of Optimized GM (1,1) in the Machine Tool Thermal Error Modeling

Abstract:

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Considering the prediction of thermal machine tool error data this paper proposes using GM (1,1) model of gray system to predict machine tool thermal error data. Through comparing with the calculated result between traditional GM(1,1) model and the optimized GM(1,1) model, more satisfactory results can be achieved, and indicating that this model can predict the distribution of machine tool thermal error data more accurately. So the optimized GM (1,1) model can be used to provide a more reliable methodology in controlling the digital machine tool.

Info:

Periodical:

Advanced Materials Research (Volumes 443-444)

Edited by:

Li Jian

Pages:

813-817

DOI:

10.4028/www.scientific.net/AMR.443-444.813

Citation:

B. Yu "Application of Optimized GM (1,1) in the Machine Tool Thermal Error Modeling", Advanced Materials Research, Vols. 443-444, pp. 813-817, 2012

Online since:

January 2012

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Price:

$35.00

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