Next Article in Journal
The Influence of Crosslink Density on the Failure Behavior in Amorphous Polymers by Molecular Dynamics Simulations
Previous Article in Journal
Rapid Fabrication of High-Aspect-Ratio Platinum Microprobes by Electrochemical Discharge Etching
Open AccessArticle

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
*
Author to whom correspondence should be addressed.
Academic Editor: Jung Ho Je
Materials 2016, 9(4), 237; https://doi.org/10.3390/ma9040237
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)
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
Show Figures

Figure 1

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop