MMAE Seminar - Multi-Scale Predictive Computational Modeling of Materials Processing and Properties
Armour College of Engineering's Mechanical Materials & Aerospace Engineering Department will welcome Dr. Ebrahim Asadi from Missouri University of Science & Technology to campus on Wednesday, April 8th to present his lecture, "Multi-Scale Predictive Computational Modeling of Materials Processing and Properties."
Abstract
Enhancing the performance of materials at a reduced cost is one of the main challenges for many industries such as aerospace, nuclear, and military. Some of the precise targets in this hence are designing the optimized alloys and manufacturing process, and also predicting the failure mechanisms. Experimental methods are typically costly because of the trial and error nature of them. Considering the current advancements in High Performance Computing, computational materials science emerges as a promising solution for reducing the design cost and the time of industrializing of a new discovery because computational methods are highly repeatable at lower costs.
In order to increase the predictive capability, the computational material model should be most physically and less empirically which leads us to the modeling at smaller scales. The current computational capabilities confine the size of the material models at small scales. Therefore, computational models should be developed at different length scales and the properties should be passed on between them (multi-scale modeling). This talk mostly focuses on a multi-scale predictive computational technique integrated with experiments to determine microstructures and mechanical properties of crystalline materials near their melting points. The multi-scale technique bridges between Density Functional Theory, Molecular Dynamics, and Phase-Field models at different length and time scales. Furthermore, there will be a brief discussion on continuum-scale models to use the calculations of the explained multi-scale technique to predict the mechanical response and failure in advanced structures.
Biography
Dr. Ebrahim Asadi is currently a Post-Doctoral Research Associate in the Computational Materials and Mechanics Laboratory at the Department of Materials Science & Engineering of Missouri University of Science & Technology (MST). Dr. Asadi received his Ph. D. in Mechanical Engineering from Mississippi State University in 2011. He received his B. S. degree in 2006 and his M. S. degree in 2008, both in Mechanical Engineering. Prior to joining MST, Dr. Asadi was with the Central Michigan University as Visiting Assistant Professor, where he was the instructor for six undergraduate and graduate courses mostly in the area of Solid Mechanics. Dr. Asadi is currently working on research projects related to Multi-Scale Computational Modeling of Materials at high temperatures. He is also teaching Integrated Computational Materials Engineering course (Graduate level) and Additive Manufacturing lectures (undergraduate level) at MST. He has more than a year of experience working in a car company (the summers of 2004&2005) and an oil drilling company (the year of 2009). In addition, he was a Summer Visiting Scholar (in 2013) at the Center for Advanced Vehicular Systems, Starkville, MS.
Dr. Asadi has published more than twenty peer reviewed journal articles, presented various talks in international conferences/universities, and contributed to different research proposals for NSF, AFOSR, DOE, and ORNL. He also serves as reviewer for more than ten high quality journals and conferences. His research focuses are on computational modeling from nano to macro scales including Density Functional Theory, Molecular Dynamics, Phase-Field Crystals, Atomistic-Informed Failure Analysis, and Mechanics of Shells and Plates. He has also research experiences on composite and piezoelectric materials, ultra-high-temperature ceramics, and lightweight metal alloys.