Certain Aspects of Conditional Moment Closure for Spray Flame Modelling
S. Ukai,
A. Kronenburg () and
O. T. Stein
Additional contact information
S. Ukai: University of Stuttgart, Institut für Technische Verbrennung
A. Kronenburg: University of Stuttgart, Institut für Technische Verbrennung
O. T. Stein: University of Stuttgart, Institut für Technische Verbrennung
A chapter in High Performance Computing in Science and Engineering ‘14, 2015, pp 335-350 from Springer
Abstract:
Abstract Large-eddy simulations (LES) have been coupled with a conditional moment closure (CMC) method for the improved modelling of small scale turbulence-chemistry interactions in turbulent spray flames. Partial pre-evaporation of the liquid fuel prior to exiting the injection nozzle requires a modified treatment for the boundary conditions in mixture fraction space and mixture fraction subgrid distribution and conditionally averaged subgrid dissipation need to be known. Different modelling approaches for the subgrid distribution of mixture fraction have been assessed, but the modelling of subgrid scalar dissipation that is responsible for the subgrid fuel transport from the droplet surface towards the cell filtered mean has not been forthcoming. Instead, we introduce a new conditioning method based on two sets of conditional moments conditioned on two differently defined mixture fractions: the first mixture fraction is a fully conserved scalar, the second mixture fraction is based on the fluid mass originating from the liquid fuel stream and is strictly not conserved due to the evaporation process. The two-conditional moment approach is validated by comparison with measurements from a turbulent ethanol spray flame and predicted temperature and velocity profiles could significantly be improved when compared to conventional LES-CMC modelling.
Keywords: Mixture Fraction; Droplet Surface; Scalar Dissipation; Spray Flame; Scalar Dissipation Rate (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10810-0_23
Ordering information: This item can be ordered from
http://www.springer.com/9783319108100
DOI: 10.1007/978-3-319-10810-0_23
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().