MSE Seminar: “Application of Phase-field Methods to Simulate Microstructure Evol. in Alloys During Add. Mfg.”


3:00 pm-4:00 pm
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Dr. Balasubramaniam Radhakrishnan (Rad) is a Distinguished Research Staff in the Computer Science and Mathematics Division at ORNL and a Joint Faculty Professor at the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee at Knoxville from 2015-2018. He has roughly 20 years of experience in utilizing HPC for the modeling of processing-microstructure- property linkages in structural and functional alloys using various techniques such as Monte Carlo, phase field, crystal plasticity and molecular dynamics, and inverse modeling using multi-objective optimization techniques.

Recently, he is serving as a component lead for mesoscale modeling (lead developer of MEUMAPPS code) in the Exascale Computing Project, ExAM led by ORNL. He is a co-author in 55 journal publications with a Science Citation h-index of 18.0, 30 publications in conference proceedings, 2 book chapters and 2 patent applications. He has served as the PI for a number of Laboratory Directed R&D programs within ORNL as well as PI or Co-PI on several projects funded by DOE program offices including Office of Science, Vehicle Technologies Office, Propulsion Materials, Electricity Delivery and Energy Reliability. He is a member of the Computational Materials Science and Engineering Committee of TMS and served as a guest editor for JOM on special topics. He has served in the science review panel for DOE’s INCITE program for 3 years. He was a co-recipient of the Warren F. Savage award offered by the American Welding Society in 1995.


The simulation of microstructure evolution during solidification and post-process annealing of structural alloys during powder-bed-based additive manufacturing is one of the focus areas in the Exascale Compting Project, ExaAM at the Oak Ridge National Laboratory.

To address this challenge, we have developed two-phase field codes under the generic name MEUMAPPS that stands for Microstructure Evolution Using Massively Parallel Phase-field Simulations, with specific attention to parameters that are applicable to the thermal conditions encountered during additive manufacturing. In addition, we are implementing algorithmic and software approaches to make these codes run efficiently in the upcoming Exascale machines at ORNL.

From a metallurgical standpoint, there are several challenges that relate to the extreme thermal conditions of AM that need to be overcome in order to enable predictive capability and to address the associated science challenges in AM. The talk will outline our current progress and future directions.


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UF Materials Science & Engineering Dept.