Modelling of soot formation in a diesel engine with the moment projection method. (December 2017)
- Record Type:
- Journal Article
- Title:
- Modelling of soot formation in a diesel engine with the moment projection method. (December 2017)
- Main Title:
- Modelling of soot formation in a diesel engine with the moment projection method
- Authors:
- Wu, Shaohua
Yapp, Edward K.Y.
Akroyd, Jethro
Mosbach, Sebastian
Xu, Rong
Yang, Wenming
Kraft, Markus - Abstract:
- Abstract: In this work, the recently developed moment projection method (MPM) is coupled with the Stochastic Reactor Model engine code to simulate the formation of soot in a direct injection diesel engine. The simulations take into account convective heat transfer, turbulent mixing, and adopts a detailed chemical mechanism so that the concentrations of soot precursors can be predicted. The soot model considered in this work is based on integration and modification of existing sub-models for soot inception, coagulation, condensation, surface growth and oxidation. The soot moment equations are solved using MPM which has been proven to be accurate and robust. A single-cylinder research version of the Great Wall 4D20 diesel engine with exhaust gas recirculation is modelled for two test cases with different injection timings, injection pressures and fuel consumptions. Simulations are fast (on the order of minutes) and comparison of computed and experimental pressure and heat release rate are in excellent agreement. The amount of soot produced is in qualitative agreement with measurements of diesel smoke opacity.
- Is Part Of:
- Energy procedia. Volume 142(2017)
- Journal:
- Energy procedia
- Issue:
- Volume 142(2017)
- Issue Display:
- Volume 142, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 142
- Issue:
- 2017
- Issue Sort Value:
- 2017-0142-2017-0000
- Page Start:
- 4092
- Page End:
- 4097
- Publication Date:
- 2017-12
- Subjects:
- moment projection method -- stochastic reactor model -- diesel engine -- soot
Power resources -- Congresses
Power resources -- Periodicals
Power resources
Conference proceedings
Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18766102 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.egypro.2017.12.330 ↗
- Languages:
- English
- ISSNs:
- 1876-6102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.729700
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British Library HMNTS - ELD Digital store - Ingest File:
- 5642.xml