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Materials 2016, 9(4), 237; doi:10.3390/ma9040237

Reciprocal Sliding Friction Model for an Electro-Deposited Coating and Its Parameter Estimation Using Markov Chain Monte Carlo Method

School of Aerospace and Mechanical Engineering, Korea Aerospace University, 76 Hanggongdaehang-ro, Deogyang-gu, Goyang-si, Gyeonggi-do 412-791, Korea
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Author to whom correspondence should be addressed.
Academic Editor: Jung Ho Je
Received: 4 March 2016 / Revised: 18 March 2016 / Accepted: 23 March 2016 / Published: 25 March 2016
(This article belongs to the Section Structure Analysis and Characterization)
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Abstract

This paper describes a sliding friction model for an electro-deposited coating. Reciprocating sliding tests using ball-on-flat plate test apparatus are performed to determine an evolution of the kinetic friction coefficient. The evolution of the friction coefficient is classified into the initial running-in period, steady-state sliding, and transition to higher friction. The friction coefficient during the initial running-in period and steady-state sliding is expressed as a simple linear function. The friction coefficient in the transition to higher friction is described with a mathematical model derived from Kachanov-type damage law. The model parameters are then estimated using the Markov Chain Monte Carlo (MCMC) approach. It is identified that estimated friction coefficients obtained by MCMC approach are in good agreement with measured ones. View Full-Text
Keywords: sliding; friction; electro-deposited coating; Markov Chain Monte Carlo method sliding; friction; electro-deposited coating; Markov Chain Monte Carlo method
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kim, K.; Lee, J. Reciprocal Sliding Friction Model for an Electro-Deposited Coating and Its Parameter Estimation Using Markov Chain Monte Carlo Method. Materials 2016, 9, 237.

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