Modeling and Simulation in Energy Storage
03 January 2022 - 09 January 2022 (7:30 - 9:30 PM, IST)
In Virtual mode!
Register on GIAN Website Register on Google Form
03 January 2022 - 09 January 2022 (7:30 - 9:30 PM, IST)
In Virtual mode!
Partha P. Mukherjee is a Professor of Mechanical Engineering at Purdue University. His prior appointments include Assistant Professor and Morris E. Foster Faculty Fellow of Mechanical Engineering at Texas A&M University (2012- 2017), Staff Scientist at Oak Ridge National Laboratory (2009-2011), Director’s Research Fellow at Los Alamos National Laboratory (2008-2009), and Engineer at Fluent India (subsidiary of Fluent Inc., currently Ansys Inc., 1999- 2003). He received his Ph.D. degree in Mechanical Engineering from The Pennsylvania State University in 2007. His awards include Scialog Fellows’ recognition for advanced energy storage, University Faculty Scholar and Faculty Excellence for Early Career Research awards from Purdue University, The Minerals, Metals & Materials Society Young Leaders Award, to name a few. His research interests are focused on mesoscale physics and stochastics of transport, chemistry, and materials interactions, including an emphasis in the broad spectrum of energy storage and conversion.
Dr. Amaresh Dalal is currently Professor of Mechanical Engineering at Indian Institute of Technology, Guwahati. He received his Ph.D. degree from Indian Institute of Technology Kanpur in 2009 and he was Post-doctoral Research Associate at Purdue University from Sep 2008 - Dec 2009. He has research interests in the area of Computational Fluid Dynamics and Heat Transfer, Finite Volume Methods and Unstructured Grid Techniques, Multiphase Flows, Natural and Mixed Convection Flows. Dr. Dalal is now deeply involved in developing a general purpose, versatile and robust computational fluid dynamics solver over hybrid unstructured grid which can solve a wide range of real-life fluid flow, heat transfer, and problems involving transport phenomena over complex geometries. He received Prof KN Seetharamu Medal and Prize for the Best Young Researcher in Heat Transfer-2017 from Indian Society of Heat and Mass Transfer
Energy storage is a key enabler in the energy sustainability eco-system. Lithium-ion batteries have transformed the modern rechargeable world with footprint in the portable electronics, vehicle electrification and grid-scale storage. The importance of modeling and simulation in accelerating innovation and design toward improved performance (energy/power), safety and life of lithium-ion batteries is critical. These are complex, dynamical systems, which include coupled physical and electrochemical processes encompassing electronic, ionic, diffusive transport in solid/electrolyte phases, electrochemical and phase change reactions and stress generation in porous electrodes. The performance, thermal safety, and lifetime of Li-ion batteries are predicated on fundamental understanding of the underlying reaction and transport processes. This course will lay out the details of a comprehensive computational modeling framework of thermo-electrochemical interactions in lithium-ion batteries toward predicting performance life and safety.
Bank Name : STATE BANK OF INDIA
Branch Name : IIT GUWAHATI BRANCH
IFSC Code : SBIN0014262
MICR code : 781002053
Account Name : IIT GUWAHATI R&D – MHRD
Account No : 31151533220
Account Type : Savings
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