Aerospace Seminar on: CFD and Hypersonic Flows

Speaker: Dr. Akshay Prakash, Senior Researcher at Technical University of Graz, Austria

Date: Thursday (1st January, 2015)

Time: 03:30 pm

Venue: Seminar room, Aerospace Engineering

Tea will be served at 3:15 pm.

 

Abstract

The talk will focus on use of CFD as a research tool, particularly in hypersonic flows where experimental and flight test data are not easy to obtain. Shock fitting methods have recently been used to study the receptivity process for hypersonic boundary layer. These methods are particularly suited for receptivity studies since they are capable of a uniformly high order solution throughout the computational domain, including the near-shock regions. Further research efforts will include addition of state-to-state kinetics and effects of surface curvature and roughness. Also included in the discussion will be alternatives to increase simulation capabilities to include larger domains. One such way is to use the highly parallelizable LBM, which have recently been extended to supersonic flows. Other techniques like adaptive mesh refinement also have potential to enhance the efficiency of solution schemes, making simulation of larger domains more feasible.

Biographical Sketch of Speaker

Dr. Akshay Prakash earned his BTech and MTech from IITB, India in Mechanical Engineering in the year 2005. Thereafter in 2011 he was awarded PhD from UCLA on accomplishment of his research, aimed at understanding receptivity and stability of hypersonic boundary by studying the effects of thermochemical non-equilibrium in a Mach 5.7 air flow over a blunt body. Dr. Prakash thereafter contributed towards two different Postdoctoral researches. The first was a simulation of a new IFMIF design by ENEA using Fluent. His contribution was towards establishing the safety margins for the range of prescribed design operating conditions. The latest of the researches was an industrially-collaborated research on the turbulence modelling of a large Bioreactor based on the highly parallelizable Lattice Boltzmann Methods.

 

 
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