Predicting soot emissions using advanced turbulent reacting flow modeling

Lead Research Organisation: University of Cambridge
Department Name: Engineering

Abstract

Soot is carbonaceous particulate matter formed due to the incomplete combustion of hydrocarbon fuels. Soot particles are known for their severe adverse effects to human health and the environment, thus special attention is required and particularly in the area of transportation systems.
In order to counteract these effects and design cleaner combustion devices, one should focus on the fundamentals of soot formation and oxidation in flames and their high sensitivity to operating conditions, mostly related to turbulent flow. Soot modeling has concerned the scientific community for many years so far, but a universal technique capable of predicting particle emissions in a plethora of applications has never been proposed.
The target of this research project is to address this problem by developing an updated physical modeling approach and demonstrate the improvements in predicting capability for a series of experiments. The methodology comprises of the combined use of different state-of-the-art approaches originating from turbulent reacting flow modeling, soot chemistry and aerosol science

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512461/1 01/10/2017 30/09/2022
2483660 Studentship EP/R512461/1 01/10/2017 30/09/2021 Savvas Gkantonas