Predicting the Mechanical Properties of Antifriction Composite Materials View Full Text


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Article Info

DATE

2021-11-24

AUTHORS

O. A. Belyak, T. V. Suvorova

ABSTRACT

The physical and mechanical properties of antifriction oil-filled composites with a viscoelastic nanomodified matrix are investigated on the basis of mathematical models. The identification and prediction of their mechanical properties is performed using a micromechanics model with account of experimental data obtained in nanoindentation. Solutions of new contact problems in a quasi-static formulation of the motion of a punch with a flat base into a heterogeneous oil-saturated half-space with allowance for friction in the contact area are constructed. The multiphase heterogeneous medium is described, first, within the framework of the Biot–Frenkel model and second, using the concept of effective homogeneity. The contact problem for the Biot medium is reduced to an integral equation of the first kind with a differential kernel and a logarithmic singularity. After regularization, the numerical solution of the integral equation is constructed by the boundary element method. The solution to the boundary value problem was found by the finite-element method in the ANSYS software package for an equivalent homogeneous medium. A comparative analysis of two approaches to modeling the microstructure of a heterogeneous medium is presented. The influence of mechanical properties of the composite on its stress-strain state is investigated. The magnitude of the friction force arising in the contact area of the medium is studied. Such studies are of great practical importance in investigating new nanomodified antifriction composite materials. For this purpose, numerical calculations for an oil-filled composite with a phenylone matrix and nanosize additives are presented. The influence of porosity, fluid saturation, and friction coefficient on the tangential contact stresses is also examined. More... »

PAGES

647-656

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11029-021-09986-7

DOI

http://dx.doi.org/10.1007/s11029-021-09986-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1142919394


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