TRIBOINFORMATICS: MACHINE LEARNING METHODS FOR FRICTIONAL INSTABILITIES

Michael Nosonovsky, Aleksandr S. Aglikov

DOI Number
10.22190/FUME231208013N
First page
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Abstract


The study of friction is traditionally a data-driven area with many experimental data and phenomenological models governing structure-property relationships. Triboinformatics is a new area combining Tribology with Machine Learning (ML) and Artificial Intelligence (AI) methods, which can help to establish correlations in data on friction and wear. This is particularly relevant to unstable motion, where deterministic models are difficult to build. There are several types of friction-induced instabilities including those caused by the velocity dependency of dry friction, coupling of friction with another process (wear, heat generation, etc.), the elastic Adams instabilities, and others. The onset of sliding is also an unstable process. ML/AI methods, such as Topological Data Analysis and various ML algorithms, which have been already used for various aspects of data analysis on friction, can be applied also to the frictional instabilities.


Keywords

Frictional instabilities, Painlevé paradoxes, Triboinformatics, Machine learning

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References


Popov, V.L., 2018, Is Tribology Approaching its Golden Age? Grand Challenges in Engineering Education and Tribological Research, Frontiers in Mechanical Engineering, 4, 16.

Ostermeyer, G.-P., Müller, M., 2006, Dynamic interaction of friction and surface topography in brake systems, Tribology International, 39(5), pp. 370-380.

Popov, V.L., Poliakov, A.M. Pakhaliuk, V.I., 2023, In silico evaluation of the mechanical stimulation effect on the regenerative rehabilitation for the articular cartilage local defects, Frontiers in Medicine, 10, 1134786.

Filippov, A.E., Popov, V.L., 2010, Modified Burridge–Knopoff model with state dependent friction, Tribology International, 43(8), pp. 1392-1399.

Lyashenko, I.A., Popov, V.L., Borysiuk, V., 2023, Indentation and Detachment in Adhesive Contacts between Soft Elastomer and Rigid Indenter at Simultaneous Motion in Normal and Tangential Direction: Experiments and Simulations, Biomimetics, 8(6), 477.

Popov, V.L., Heß, M., Willert, E., 2019, Handbook of Contact Mechanics. Exact Solutions of Axisymmetric Contact Problems, Springer, Berlin, Heidelberg, 363 p.

Popov, V.L., 2021, Energetic criterion for adhesion in viscoelastic contacts with non-entropic surface interaction, Reports in Mechanical Engineering, 2(1), pp. 57-64.

Forsbach, F., Heß, M., Papangelo, A., 2023, A two-scale FEM-BAM approach for fingerpad friction under electroadhesion, Frontiers in Mechanical Engineering, 8, 1074393.

Lyashenko, I.A., Pham, T.H., Popov, V.L., 2024, Effect of Indentation Depth on Friction Coefficient in Adhesive Contacts: Experiment and Simulation, Biomimetics, 9(1), 52.

Li, Q., Lyashenko, I.A., Pohrt, R., Popov, V.L., 2022, Influence of a Soft Elastic Layer on Adhesion of Rough Surfaces, in: Borodich, F.M., Jun, X. (Eds.), Contact Problems for Soft, Biological and Bioinspired Materials. Biologically-Inspired Systems, vol. 15, pp. 93-102.

Argatov, I., 2019, Artificial neural networks (ANNs) as a novel modeling technique in tribology,

Frontiers in Mechanical Engineering, 5, 30.

Bhattacharya, S., Chakraborty, S., 2023, Prediction of Responses in a CNC Milling Operation Using Random Forest Regressor, Facta Universitatis-Series Mechanical Engineering, 21(4) pp. 685-700.

Michel, A. N., Hou, L., Liu, D., 2008, Stability of dynamical systems, Birkhaüser, Boston, 653 p.

Galanti, B., Tsinober, A., 2004, Is turbulence ergodic?, Physical Letters A, 330(3-4), pp. 173-180.

Korolev, I., Aliev, T., Orlova, T., Ulasevich, S.A., Nosonovsky, M., Skorb, E.V., 2022, When Bubbles Are Not Spherical: Artificial Intelligence Analysis of Ultrasonic Cavitation Bubbles in Solutions of Varying Concentrations, The Journal of Physical Chemistry B, 26(16), pp. 3161-3169.

Hasan, M.S., Nosonovsky, M., 2022, Triboinformatics: machine learning algorithms and data topology methods for tribology, Surface Innovations 10(4-5), pp. 229-242.

Nosonovsky, M., Mortazavi, V., 2014, Friction-Induced Vibrations and Self-Organization, CRC Press: Boca Raton.

Popova, E., Popov, V.L., The research works of Coulomb and Amontons and generalized laws of friction, Friction, 3(2), pp. 183-190.

Miguel. M.-C, Moretti, P., Zaiser. M., Zapperi, S., 2005, Statistical dynamics of dislocations in simple models of plastic deformation: Phase transitions and related phenomena, Materials Science and Engineering: A, 400-401, pp. 191-198.

Nosonovsky, M., Breki, A., 2019, Ternary Logic of Motion to Resolve Kinematic Frictional Paradoxes, Entropy, 21, 620.

Anh, L.X., 1990, The Painlevé paradoxes and the law of motion of mechanical systems with coulomb friction, Journal of Applied Mathematics and Mechanics, 54, pp. 430-438.

Anh, L.X., 2003, Dynamics of Mechanical Systems with Coulomb Friction, Springer: New York, NY, USA.

Génot, F., Brogliato, B., 1999, New results on Painlevé paradoxes, Eur. J. Mech. A, 18(4), pp. 653-678.

Champneys, A.R., Varkonyi, P.L., 2016, The Painlevé paradox in contact mechanics, IMA Journal of Applied Mathematics, 81(3), pp. 538-588.

Adams, G. G., 1995, Self-excited oscillations of two elastic half-spaces sliding with a constant coefficient of friction, Journal of Applied Mechanics, 62, pp. 867-872.

Nosonovsky, M. Adams, G.G., 2004, Vibration and stability of frictional sliding of two elastic bodies with a wavy contact interface, Journal of Applied Mechanics, 71, pp. 154-161.

Renardy, M., 1992, Ill-posedness at the boundary for elastic solids sliding under Coulomb friction, Journal of Elasticity, 27, pp. 281-287.

Ranjith, K., Rice, J.R., 2001, Slip dynamics at an interface between dissimilar materials, Journal of Mechanics and Physics of Solids, 49, pp. 341-361.

Nosonovsky, M., 2010, Entropy in Tribology: in the Search for Applications, Entropy, 12, pp. 1345-1390.

Gershman, I.S., 2006, Formation of Secondary Structures and Self-Organization Process of Tribosystems during Friction with the Collection of Electric Current, in: Fox-Rabinovich, G.S., Totten, G.E., (Eds.), Self-Organization during Friction. Advanced Surface-Engineered Materials and Systems Design, CRC Taylor & Francis: Boca Raton, FL, USA, 2006, pp. 197-230.

Fox-Rabinovich, G.S., Veldhuis, S.C., Kovalev, A.I., Wainstein, D. L., Gershman, I. S., Korshunov, S., Shuster, L.S., Endrino, J.L., 2007, Features of self-organization in ion modified nanocrystalline plasma vapor deposited AlTiN coatings under severe tribological conditions, Journal of Applied Physics, 102, 074305.

Svetlizky, I., Fineberg, J., 2014, Classical shear cracks drive the onset of dry frictional motion, Nature, 509, pp. 205-208.

Shlomai, H., Fineberg, J., 2016, The structure of slip-pulses and supershear ruptures driving slip in bimaterial friction, Nature Communications, 7, 11787.

Zhukov, M., Hasan M.S., Nesterov, P., Sabbouh, M., Burdulenko, O., Skorb, E.V., Nosonovsky, M., 2021, Topological Data Analysis of Nanoscale Roughness in Brass Samples, ACS Applied Materials & Interfaces, 14(1), pp. 2351-2359.


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