Numerical quantification of the impact of microstructure on the mechanical behavior of particulate Al/SiC composites in 2D
| Autor: | Anand Nagarajan, Bowen Liang, Soheil Soghrati |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Materials science
Applied Mathematics Mechanical Engineering Metal matrix composite Micromechanics 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics Microstructure 01 natural sciences Finite element method 010101 applied mathematics Condensed Matter::Materials Science Matrix (mathematics) Mechanics of Materials Mesh generation Modeling and Simulation General Materials Science 0101 mathematics Composite material 0210 nano-technology Voronoi diagram Centroidal Voronoi tessellation |
| Zdroj: | International Journal of Solids and Structures. 117:91-103 |
| ISSN: | 0020-7683 |
| DOI: | 10.1016/j.ijsolstr.2017.04.001 |
| Popis: | The objectives of the current manuscript are twofold: (i) Introducing an automated computational framework for creating realistic finite element models of metal matrix composites (MMCs) microstructures; (ii) Implementing this technique to investigate the effect of microstructure on the mechanical behavior of an Al/SiC particulate MMC. A microstructure reconstruction algorithm is proposed, which relies on the Centroidal Voronoi tessellation, together with the erosion, random movement, and iterative elimination of the resulting Voronoi cells to create an initial periodic virtual microstructure. Non-Uniform Rational B-Splines are also employed to capture the realistic shapes of embedded particles. High fidelity finite element models of the composite microstructure are then created using a non-iterative Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR) technique. This integrated numerical framework is employed to analyze the effect of an Al/SiC MMC microstructure on its mechanical behavior, considering the plastic deformation of the Al matrix and damage in the SiC particles. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect