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Software Modeling Environment for Solving Problems of Structurally Inhomogeneous Materials

Viktoriya Pasternak, Artem Ruban, Mykola Surianinov, Yurii Otrosh, Andrey Romin

2022Materials science forum20 citationsDOIOpen Access PDF

Abstract

In this scientific study, the main properties of structurally inhomogeneous materials are predicted by computer modelling methods. The automatic combination of a scanning microscope and a program cell makes it possible to view the procedure in detail before and after etching with the necessary increase in resolution. Based on the results obtained, we constructed a graphical dependence of the particle sizes of 40 XН steel on the iterative process, and also studied in detail the procedure for the effect of different particle sizes on porosity. We modelled 2D and 3D drawings of the PRT – 7 shaft part. We justified the predicted number of properties, in particular: porosity, particle shape, grain size, microstructure of the sample surface, pre-etching process, post-etching process, as well as the main advantages of the iterative process.

Topics & Concepts

Materials sciencePorosityEtching (microfabrication)Process (computing)Particle (ecology)Resolution (logic)Iterative and incremental developmentMicrostructureParticle sizeSurface (topology)SoftwareComposite materialMechanical engineeringComputer scienceGeometryChemical engineeringMathematicsEngineeringArtificial intelligenceGeologyProgramming languageLayer (electronics)Software engineeringOperating systemOceanographyMaterial Properties and ApplicationsIndustrial Engineering and TechnologiesPolymer Science and Applications
Software Modeling Environment for Solving Problems of Structurally Inhomogeneous Materials | Litcius