Prakash Shrestha
“Many of life’s failures are people who did not realize how close they were to success when they gave up” – Thomas Edison
This website will provide you my research and academic information.
Welcome to my Website!
Those who cannot change their minds cannot change anything.
—George Bernard Shaw
Some inspirational quotes:
A small group of thoughtful people could change the world. Indeed, it’s the only thing that ever has.
— Margaret Mead
You must be the change you wish to see in the world
— Gandhi
No one can make you feel inferior without your consent
— Eleanor Roosevelt
Thank you for visiting my website.
I am an MS student at the School of Aeronautics and Astronautics, Purdue University. I did my undergraduate education from the Tribhuvan University, Nepal.
My research interests are CFD, Turbulence Modeling, Data & Numerical Analysis, CAD Modeling and Combustion.
My long term career goal is to involve in CFD through teaching and research at a reputed university like Purdue.
Understanding the turbulence in plasmas
Current Research work 1:
Computational Biology
As a summer intern, I am working in a Computaional Biology research work related to data extraction, processing and analysis by creating an efficient and relevant tool.
Programming languages: Java, Matlab
Software: Matlab, Eclipse
Company: Cientive Group Inc.
Source of Funding: Roche Diagnostics, Indianapolis, US
World News on Turbulence and Combustion
One simple phenomenon explains why practical, self-sustaining fusion reactions have proved difficult to achieve: Turbulence in the superhot, electrically charged gas, called plasma, that circulates inside a fusion reactor can cause the plasma to lose much of its heat. This prevents the plasma from reaching the temperatures needed to overcome the electrical repulsion between atomic nuclei — which, in turn, prevents those nuclei from fusing together. But in order to tame that turbulence, scientists first must understand it.
MIT-PRESS
April 29, 2013
Sure the popular open source platform Hadoop can crunch Big Data. But we’re talking Really Big Data. At Stanford University in Northern California, researchers just tapped into the world’s largest supercomputer and ran an application that crunched information across more than one million processor cores.
CTR-Stanford University
January 28, 2013
June 17, 2013
NuSTAR has been busy studying the most energetic phenomena in the universe. Recently, a few high-energy events have sprung up, akin to "things that go bump in the night." When one telescope catches a sudden outpouring of high-energy light in the sky, NuSTAR and a host of other telescopes stop what they were doing and take a better look.
JPL-Caltech
The Turbulent, High-Energy Sky Is Keeping NuSTAR Busy
The applicability of unsteady flamelet model for NOx emissions in a Sandia Flame – D using different radiation models is studied. Since the basic assumption in the Steady Laminar Flamelet Model (SLFM) is infinitely fast reaction rate, it cannot be used to model to slow reactions like formation of NOx. Hence the Eulerian Particle Flamelet Model, which takes into account the unsteady terms in the governing equations have been used to study the formation of NOx and the various parameters affecting the amount of NOx emissions produced.
Advisor: Prof. Jay P Gore, Purdue University.
Time: During Spring 2013
Developments of mesh-free methods and their applications in applied fluid mechanics were surveyed. MPS system was applied which stands for Moving Particle Semi-Implicit (MPS) Method in which differential operators of Navier-Strokes’ equation as particle interactions were formulated featured by a Kernel function and an adoption of a mesh-free algorithm. CUDA C++ language was used for formulation of the program. This project is found applicable in analyzing simulation of pipe line network flow of multiple fluids, mixing of liquids in tanks and separation of fluids in chambers.
Company: E&T-Nepal Pvt. Ltd. (HOND R&D Project)
Time: April to Dec 2011
The objective of the project is to formulate more accurate model to reproduce compressibility in high Mach number compressible mixing layers. The RANS model used is K-Epsilon. Till now, I have updated my codes to incorporate Sarkar formulation in the RANS model for compressibility correction.
Advisor: Prof. Gregory Blaisdell
Programming Languages: MPI Fortran, Matlab
Institution: Purdue University, West Lafayette, US
Numerical Simulation of Sandia Flame-D using Unsteady Flamelet Model to study NOx Emissions and effect of various parameters on NOx Emissions.
Current Research work 2:
Turbulence Modeling
3-D Dual Liquid Flow Simulation Using Moving Particle Semi-Implicit Method
Air Flow Simulation over an air foil.
Stochastic particles applied for Cobra Flame Simulation using P.D.F. via ANSYS Fluent
Using Sarkar Compressibility Correction
Air Flow Simulation over an air foil.
My family picture
Fun Stuff: Particle Method Based Earth and a Celestial Body Collision (GPU CUDA)
