Analysis of data to develop models for spray combustion
Paper
Paper/Presentation Title | Analysis of data to develop models for spray combustion |
---|---|
Presentation Type | Paper |
Authors | Clarke, Jason (Author), Wandel, Andrew P. (Author) and Mastorakos, E. (Author) |
Editors | Goh, Steven C. and Wang, Hao |
Journal or Proceedings Title | Proceedings of the 2010 Southern Region Engineering Conference (SREC 2010) |
Number of Pages | 9 |
Year | 2010 |
Place of Publication | Toowoomba, Australia |
Web Address (URL) of Paper | http://www.usq.edu.au/engsummit |
Web Address (URL) of Conference Proceedings | http://www.usq.edu.au/engsummit/proceedings |
Conference/Event | 2010 Southern Region Engineering Conference (SREC 2010) |
Event Details | 2010 Southern Region Engineering Conference (SREC 2010) Event Date 11 to end of 12 Nov 2010 Event Location Toowoomba, Australia |
Abstract | Modern combustion systems are being designed to operate closer to the lean combustion limit in order to improve fuel economy, reduce operating noise and reduce the production of pollutants. However, this increases the chances of misfiring occurring, particularly when the fuel is injected into the combustion chamber in liquid form and heat is required to vaporise the fuel so that it is available for combustion. Modelling of this process is required to aid in the development of new combustion systems; the Conditional Moment Closure (CMC) model is well suited for such modelling. However, the behaviour of key terms in the CMC transport equation — the conditional scalar dissipation, mixture fraction probability density function (PDF) and conditional source term — is not understood well for this case. Note that the conditional source term only appears when one of the key reactants changes state to become a gas. A Direct Numerical Simulation (DNS) study was performed to collect data on successful and unsuccessful combustion when the fuel is fully comprised of liquid droplets in cold air and spark power is used to evaporate the fuel and ignite the mixture. The data from the DNS are being used to develop models for the three key terms required for CMC modelling. |
Keywords | spray combustion; DNS; CMC |
ANZSRC Field of Research 2020 | 401703. Energy generation, conversion and storage (excl. chemical and electrical) |
401213. Turbulent flows | |
401706. Numerical modelling and mechanical characterisation | |
Byline Affiliations | Computational Engineering and Science Research Centre |
University of Cambridge, United Kingdom | |
Department of Mechanical and Mechatronic Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0759/analysis-of-data-to-develop-models-for-spray-combustion
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