The interaction observed between two surfaces in contact with one another is part of a number of physical processes, such as wear. In this paper, we present a numerical study of the asperities between two surfaces in contact with each other. The real contact area between two surfaces varies due to the multiple roughness scales caused by the stochastic nature of asperities. In our research, we employ a tribological system comprising two partitions: C1 is the contact set (CS), where the two surfaces are in direct contact with each other, and C2 is the noncontact set, where the two surfaces are not in contact with each other. Here, we have developed a new numerical model to describe the CS using ε-entropy to prove the existence of a minimum value for entropy in sliding contact scenarios. In this system, the lower and upper bounds of entropy are determined through the Kolmogorov approach using the aforementioned model. Using this model, we conclude that the ε-entropy value is bound between ln 2 and 2·ln 2 for a tribological system comprising two partitions. Additionally, we conclude that a correlation between the stochastic tribological contact behavior and the rate of entropy change is the key parameter in thermal nonequilibrium scenarios.
Skip Nav Destination
Article navigation
March 2019
Research-Article
Assessment of the Tribological Contact Between Sliding Surfaces Via an Entropy Approach
Vera Deeva,
Vera Deeva
School of Earth Sciences and Engineering,
Tomsk Polytechnic University,
Lenina pr. 30,
Tomsk 634050, Russia
e-mail: veradee@mail.ru
Tomsk Polytechnic University,
Lenina pr. 30,
Tomsk 634050, Russia
e-mail: veradee@mail.ru
Search for other works by this author on:
Stepan Slobodyan
Stepan Slobodyan
Transport, Oil and Gas Faculty,
Omsk State Technical University,
Mira pr. 11
Omsk, 644050, Russia;
Material Engineering
and Metal Technology Department,
Tver State Technical University,
Komsomolsky pr. 5,
Tver, 170026, Russia
e-mail: sms_46@ngs.ru
Omsk State Technical University,
Mira pr. 11
Omsk, 644050, Russia;
Material Engineering
and Metal Technology Department,
Tver State Technical University,
Komsomolsky pr. 5,
Tver, 170026, Russia
e-mail: sms_46@ngs.ru
Search for other works by this author on:
Vera Deeva
School of Earth Sciences and Engineering,
Tomsk Polytechnic University,
Lenina pr. 30,
Tomsk 634050, Russia
e-mail: veradee@mail.ru
Tomsk Polytechnic University,
Lenina pr. 30,
Tomsk 634050, Russia
e-mail: veradee@mail.ru
Stepan Slobodyan
Transport, Oil and Gas Faculty,
Omsk State Technical University,
Mira pr. 11
Omsk, 644050, Russia;
Material Engineering
and Metal Technology Department,
Tver State Technical University,
Komsomolsky pr. 5,
Tver, 170026, Russia
e-mail: sms_46@ngs.ru
Omsk State Technical University,
Mira pr. 11
Omsk, 644050, Russia;
Material Engineering
and Metal Technology Department,
Tver State Technical University,
Komsomolsky pr. 5,
Tver, 170026, Russia
e-mail: sms_46@ngs.ru
1Corresponding author.
Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received May 25, 2018; final manuscript received September 29, 2018; published online November 1, 2018. Assoc. Editor: Sinan Muftu.
J. Tribol. Mar 2019, 141(3): 031602 (6 pages)
Published Online: November 1, 2018
Article history
Received:
May 25, 2018
Revised:
September 29, 2018
Citation
Deeva, V., and Slobodyan, S. (November 1, 2018). "Assessment of the Tribological Contact Between Sliding Surfaces Via an Entropy Approach." ASME. J. Tribol. March 2019; 141(3): 031602. https://doi.org/10.1115/1.4041644
Download citation file:
Get Email Alerts
Related Articles
Quantum-theoretic Shapes of Constituents of Systems in Various States
J. Energy Resour. Technol (March,2003)
Uncertainty of Integral System Safety in Engineering
ASME J. Risk Uncertainty Part B (June,2022)
Input Selection for Modeling and Diagnostics With Application to Diesel Engines
J. Dyn. Sys., Meas., Control (January,2007)
The Properties of Asperities of Real Surfaces
J. Tribol (October,2001)
Related Proceedings Papers
Related Chapters
Confidence Framework in Classification
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Syntax Probabilistic Model for Assessing the Adequacy of Russian Texts
International Conference on Electronics, Information and Communication Engineering (EICE 2012)
Constrained Noninformative Priors with Uncertain Constraints: A Hierarchical Simulation Approach (PSAM-0437)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)