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Meeting MS&T22: Materials Science & Technology
Symposium Multi Scale Modeling of Microstructure Deformation in Material Processing
Presentation Title Microstructure Based Computational Analysis of Heterogeneous Materials
Author(s) Riddhi Joshi, Tanaji Paul, Cheng Zhang, Benjamin Boesl, Arvind Agarwal
On-Site Speaker (Planned) Riddhi Joshi
Abstract Scope The goal of the study is to computationally estimate the mechanical response of the ultrasonically cast tungsten disulfide reinforced aluminum matrix composites. It is performed with image-based analysis of multi- scale microstructures. Object oriented finite element analysis (OOF2) is a two-dimensional image-based tool developed by National Institute to Standards and Technology (NIST). It performs numerical analysis to estimate thermo-mechanical properties by accounting for actual features of the microstructures. The results of the microstructure with no ultrasonication were compared with 45s of ultrasonication time. Ultrasonication of the composites, resulted enhancement of mechanical properties. In this study, a unique approach of comparing the outcome from experimental technique of nanoindentation and numerical analysis of finite element analysis were employed that shows the exceptional accuracy of mechanical property predictions by OOF2. The results showed that ultrasonication of Al – WS2 increased the elastic modulus from 2% to 6% from low to high magnification microstructure.


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Microstructure Based Computational Analysis of Heterogeneous Materials
Multi Scale Modeling of Elastic Properties of FeMnNiCoMo System
New Insights into the Cube Texture Development during Recrystallization of High to Medium SFE FCC Metals
PRISMS-fatigue: A General Framework for Fatigue Analysis in Polycrystalline Metals and Alloys Using the Crystal Plasticity Finite Element Method
Stochastic Model Describing Phase Transformations in Steels Accounting for a Random Character of Nucleation

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