Faculty Candidate Seminar

Title:

Large-eddy simulations (LES) for computational analysis of thermo-fluid systems

Speaker:

Dr. Satbir Singh

Affiliation:

Carnegie Mellon University, Pittsburgh, PA

When:

Thursday, March 15, 2012 at 11:00:00 AM   

Where:

MRDC Building, Room 4211

Host:

Dr. Caroline Genzale
caroline.genzale@me.gatech.edu
404.894.5099

Abstract

Simulations of turbulent flows found in practical applications are challenging, as they require resolution of a wide range of spatial and temporal scales. So far, only models based on Reynolds-averaged Navier-Stokes (RANS) equations have found practical success due to their low computational cost. However, owing to increased computational power, the use of large-eddy simulation (LES) can now be explored for real-world applications. The seminar will discuss the application of a new approach that reduces the impact of numerical errors, and increases the level of confidence in solutions obtained with large-eddy simulations. The seminar will also discuss the development of a new numerical method to reduce the computational cost of solving turbulent flow equations on complex grids found in practical applications. At the end, an application of LES to predict the evolution of multi-component aerosol particles in combustion exhaust gases will also be presented.


Biography

Dr. Singh obtained PhD degree in Mechanical Engineering from University of Wisconsin-Madison in 2006. His PhD research focused on experimental investigation of low-temperature combustion, and development of a new computational model for multi-mode combustion. After graduating from University of Wisconsin, he joined General Motors research in Warren, Michigan, where he was involved in combustion analysis of new engine concepts. In February of 2010, he took a research associate position at Carnegie Mellon University, Pittsburgh. Currently he is working on development and application of new numerical methods to enable high fidelity large-eddy simulations (LES) of turbulence in complex flows that involve multi-scale physics.