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Random Microstructure Generation
Fatima Haddani, Anas El Maliki, Ahmed Lkouen

Random Microstructure Generation

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

This paper presents a method for automatically generating threedimensional (3D) microstructures of composites with a view to predicting their effective properties by finite element (FE) methods. The loads are modeled by dispersed and randomly oriented ellipsoids using the random sequential adsorption (RSA) algorithm developed under Matlab. The advantage of this method is its good applicability to a large number of heterogeneities of different sizes and shapes (grains, wafers, voids, needles, fibers, etc.). The geometric of the microstructure is converted into STL (Standard Tessellation Language) format commonly in rapid prototyping (i.e., 3D printing, additive manufacturing) and can be exported to a finite element calculation software package

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Document Information

Document Title Random Microstructure Generation
Author / Organization Fatima Haddani, Anas El Maliki, Ahmed Lkouen
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-144343
Original Source Link Visit Source Page on hal.science »