|About this Abstract
||MS&T22: Materials Science & Technology
||Multi Scale Modeling of Microstructure Deformation in Material Processing
||Microstructure Based Computational Analysis of Heterogeneous Materials
||Riddhi Joshi, Tanaji Paul, Cheng Zhang, Benjamin Boesl, Arvind Agarwal
|On-Site Speaker (Planned)
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.
||Planned: Other (journal publication, etc.; describe below)