Prediction of Tribological Experiment Factors Relationship by Grey Theorem

Abstract:

Surface interaction is now one of the important engineering problems and methodologies to minimize wear can save large sums of money for repairing the machine parts. We try to minimize the number of experiment about the relations of normal load, lateral force, rotation speed, and resistance by grey theorem. Based on this, GM(1,1) model and RGM(1,1) model are constructed to predict the resistance under different controlled variables. And local grey analysis is for finding the degree of these variables affecting the value of resistance. Moreover, residual test is used to estimate the precision of the prediction. Results show that two models have good performance for prediction about 94% more accuracy. As for grey relation analysis, normal force is the most important variable to affect the resistance value. It also finds that increasing normal stress causes more friction loss of the parts. Since grey prediction has good performance in this study, we will combine Taguchi method and grey methodology to do more detail research on other tribological problems in the forth coming papers. Keywords: Tribological, Grey Theorem, Experiment Factors.

• Periodical: Applied Mechanics and Materials (Volumes 764-765)
• Pages: 338-342
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.764-765.338
• Online since: May 2015
• Authors: Yi Chern Hsieh*, Minh Hai Doan, Ming Heng Ke, Zhao Nan Chen
• Keywords: Experiment Factors, Grey Theorem, Tribological

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