Paper Title:
The Forecast for the Abrasive Wear of Metal Materials Aginst Plant Abrasive Based on the Grey Markov Model
  Abstract

Metal materials wear loss against plant abrasive of different wear process was obtained by simulation test on the abrasive wear testing machine. On the basis of it, the GM (1, 1) model is established by using grey theory. Then the state of experiment data is divided using markov chain, the state transition matrix is constructed, finally the grey markovian model is established and wear prediction of metal materials against plant abrasive is gained. The results indicate that wear prediction based on the grey markovian model is more precise than the GM (1, 1), model, relative error being only 1.13%

  Info
Periodical
Edited by
Han Zhao
Pages
984-988
DOI
10.4028/www.scientific.net/AMM.130-134.984
Citation
X. P. Huang, J. L. Huang, J. F. Wu, K. P. Zhang, "The Forecast for the Abrasive Wear of Metal Materials Aginst Plant Abrasive Based on the Grey Markov Model", Applied Mechanics and Materials, Vols. 130-134, pp. 984-988, 2012
Online since
October 2011
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