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S. V. Smirnov, A. V. Konovalov, M. V. Myasnikova, Yu. V. Khalevitsky, A. S. Smirnov, A. S. Igumnov

A COMPUTATIONAL MODEL OF V95/SiCp (7075/ SiCp) ALUMINUM MATRIX COMPOSITE APPLIED TO STRESS-STRAIN STATE SIMULATION UNDER TENSILE, COMPRESSIVE AND SHEAR LOADING CONDITIONS

Adhering to the structural-phenomenological approach, we develop a computational model of aluminum matrix composite deformation. The model allows us to simulate the stress-strain state parameters of the composite at the microscopic and macroscopic scales and in different loading scenarios. The composite is produced by sintering, and it has a cellular internal structure. The SiC reinforcing particles are grouped around sintered aluminum alloy pellets, forming a stratum. It has been experimentally established that, during the hot deformation process, the stratum undergoes structural changes. The changes influence the effective mechanical properties of the stratum. In order to account for these changes, we use the rule of mixtures, assuming the plastic flow properties of the stratum to be distributed proportionally to the volume fraction of its constituents. The model is used to simulate stress-strain state evolution at the microscopic and macroscopic scales in three loading scenarios – tension, compression and shear. We construct equivalent (von Mises) strain and average normal stress distribution fields in the finite-element nodes of the finite element mesh of a randomly selected microvolume and show that the local plastic deformation regions emerge in the composite structure. The presence of tensile stresses is also noted, which are the most adverse in terms of internal fracture probability.

Acknowledgements: This work was partly supported by the Russian Scientific Foundation (project 14-19-01358) in the part of V95/SiC MMC numerical model developement

Keywords: metal matrix composite, microstructure, simulation, stress-strain state

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Founder:  Institute of Engineering Science, Russian Academy of Sciences (Ural Branch)
Chief Editor:  E.S. Gorkunov
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