A5088816007- Microstructure and mechanical properties
- Metal and Thin Film Mechanics
- Metallurgy and Material Forming
- Composite Material Mechanics
- Metal Forming Simulation Techniques
- Machine Learning in Materials Science
- Advanced materials and composites
- Microstructure and Mechanical Properties of Steels
- Titanium Alloys Microstructure and Properties
- Topology Optimization in Engineering
- Force Microscopy Techniques and Applications
- Aluminum Alloys Composites Properties
- Aluminum Alloy Microstructure Properties
- Advanced ceramic materials synthesis
- Diamond and Carbon-based Materials Research
- Advanced Surface Polishing Techniques
- Advanced Mathematical Modeling in Engineering
- X-ray Diffraction in Crystallography
- Fatigue and fracture mechanics
- MXene and MAX Phase Materials
- Probabilistic and Robust Engineering Design
- Hydrogen embrittlement and corrosion behaviors in metals
- Additive Manufacturing Materials and Processes
- Composite Structure Analysis and Optimization
- Manufacturing Process and Optimization
Georgia Institute of Technology
2015-2024
Drexel University
2005-2020
Case Western Reserve University
2020
University of Pennsylvania
2020
University of South Carolina
2020
Rensselaer Polytechnic Institute
2020
Indian Institute of Science Bangalore
2019
Woodruff Health Sciences Center
2016
AID Atlanta
2013
Philadelphia University
2002-2011
A Taylor-type model for large deformation polycrystalline plasticity is formulated and evaluated by comparing the predictions evolution of crystallographic texture stress-strain response in simple compression tension, plane strain compression, shear initially ‘isotropic’ OFHC copper against ( a ) corresponding experiments, b finite element simulations these experiments using multitude single crystals with accounting satisfaction both compatibility equilibrium. Our calculations show that...
The field of materials science and engineering is on the cusp a digital data revolution. After reviewing nature Big Data, we discuss features that distinguish them from in other fields. We introduce concept process-structure-property (PSP) linkages illustrate how determination PSPs one main objectives science. Then review selection databases, as well important aspects management, such storage hardware, archiving strategies, access strategies. emerging analytics, which focuses data-driven...
Abstract This paper describes the use of data analytics tools for predicting fatigue strength steels. Several physics-based as well data-driven approaches have been used to arrive at correlations between various properties alloys and their compositions manufacturing process parameters. Data-driven are significant interest materials engineers especially in arriving extreme value such cyclic fatigue, where current state-of-the-art physics based models severe limitations. Unfortunately, there...
In this article, the second part of a two‐part study, we report on mechanical behavior Ti 3 SiC 2 . particular, have evaluated response fine‐grained (3–5 μm) in simple compression and flexure tests, compared results with those coarse‐grained (100–200 These tests been conducted 25°–1300°C temperature range. At ambient temperature, fine‐ microstructures exhibit excellent damage‐tolerant properties. both cases, failure is brittle up to ∼1200°C. 1300°C, plastic deformation (>20%) compression....
Microstructural observations of damage around indentations in Ti 3 SiC 2 are presented. The Vickers hardness decreased with increasing load and asymptotically approached 4 GPa at the highest loads. No indentation cracks were observed even loads as high 300 N. Preliminary strength versus plots indicate that, least for large‐grained material (is approximately100 μm) studied here, is a damage‐tolerant able to contain extent microdamage small area indent. following multiple energy‐absorbing...