Paper Title:
Application of Optimized GM (1,1) in the Machine Tool Thermal Error Modeling
  Abstract

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)
Chapter
Chapter 2: Optical, Electronic Materials and Industrial Application
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
Authors
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Price
$32.00
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