Computational Combustion Laboratory (CCL)
Research opportunities available
Dated: Feb 01, 2022 (Current)
Dated: Sep 16, 2022
Our research is on the spotlight in this article published in Marquette Today: The Secrets of Soot. Read the article here.
Dated: February 16, 2022
Our analysis tool Molecular arrangement and fringe identification and analysis from molecular dynamics (MAFIA-MD) is now accepted as a peer-reviewed software in Computer Physics Communications. This software can batch-analyze a seriese of structural and chemical features from reactive molecular dyanmics simulation. You can find more about it here.
Dated: January 26, 2022
CCL recieves the prestigious NSF CAREER grant titled, "CAREER: A scalable multiscale modeling framework to explore soot formation in reacting flows".
This project will include a series of modeling techniques includnig molecular dynamics, machine learning, and computational fluid dynamics to develop efficient and accurate soot models for combustion systems.
Dated: January 16, 2022
A funded research opprtunity is available for interested students to do paid summer research on "Hardware, Embedded Software, and Analytics for Environment Quality Monitoring". The application deadline is February 15, 2022. See here for more details.
Dated: July 16, 2021
Ms. Otito Onwuzurike successfully defended her M.S. thesis titled "Atmospheric Dispersion Modeling of Pollutants in Milwaukee Using AERMOD". Congratulations!
In her M.S. work, Ms. Onwuzurike used the AERMOD (an industry standard in regulatory monitoring of aerial pollutant dispersion) to model dispersion from complex sources such as traffic and a waste water reclamation facility. She also created a model to calculate background pollution level based on traffic metrics.
Dated: April 19, 2021
Mr. Mukut's co-authored paper "The coalescence of incipient soot clusters" has been accepted in Carbon (Impact Factor: 8.8). This work is part of a collaboration between Dr. Eirini Goudeli of University of Melbourne and CCL. In this paper, the physics and chemistry of soot coalescence has been explored - for the first time - using molecualr dynamics simulations. (Links: Carbon / Accepted manuscript)
Dated: March 31, 2021
Ms. Chloe David successfully defended her M.S. thesis titled "Accuracy and Computational Cost Assessment of Radiation Solvers for Combustion Simulations". Congratulations!
In her M.S. work, Ms. David compared spherical harmonics, discrete ordinate and Monte Carlo-based solvers for a combustion simualtion. She also performed a deatiled computational cost assessment of a Monte Carlo-based radiation sovler.
Dated: March 30, 2021
Mr. Alec Tauer successfully defended his M.S. thesis titled "CFD Modeling of Aerial Dispersion of Pollutants in Urban Environments". Congratulations!
In his M.S. work, Mr. Tauer developed a new method to accurately capture variations in wind speed and direction that will lead to more accurate aerial dispersion modeling of pollutants.
Dated: March 16, 2021
Dr. Roy, in collaboration with Dr. Amber Young-Brice from College of Nursing and Ms. Jenna Lassila from Engineering Success Center, recieved a grant to conduct a community of practice to explore ways to improve engineering education by employing strategies based on grit and self-regulation. See more about this project.
Dated: February 19, 2021
Ms. David's co-authored paper "Comparison of Radiation Models for a Turbulent Piloted Methane/Air Jet Flame: A Frozen-Field Study" has been accepted for presentation in the ASME Summer Heat Transfer Coference (SHTC). This work is part of a collaboration between Dr. Wenjun Ge of Oak Ridge National Lab and CCL. In this paper, various radiation solvers are compared for their accuracy and computational cost.
(c) Somesh Prasad Roy