A comparative study of Sandia flame series (D-F) using sparse-Lagrangian MMC modelling

被引：60

作者：

Ge, Y. ^{[1
]}

Cleary, M. J. ^{[1
,2
]}

Klimenko, A. Y. ^{[1
]}

机构：

[1] Univ Queensland, Sch Mech & Min Engn, Brisbane, Qld 4072, Australia

[2] Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia

来源：

PROCEEDINGS OF THE COMBUSTION INSTITUTE | 2013年 / 34卷

关键词：

Filtered density function; Sparse-Lagrangian simulation; Multiple Mapping Conditioning; Fractal/gradient model; DENSITY-FUNCTION; TURBULENT; SIMULATIONS;

D O I：

10.1016/j.proci.2012.06.059

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Sparse-Lagrangian Multiple Mapping Conditioning (MMC) simulations are performed on a turbulent piloted methane jet flame series with increasing levels of local extinction (Sandia flames D-F). Subfilter conditional scalar dissipation is closed by the generalised MMC mixing model which enforces localisation in an extended space comprising of physical location and a reference mixture fraction; the latter is the filtered field from an LES simulation. A new fractal/gradient model controlling localisation in sparse simulations has been developed recently, and here it is tested on real flame conditions. Using one single localisation constant f(m), simulation results with as few as 1 Lagrangian particle per 27 Eulerian cells show a good match to the measurements; particle number density effects are also explored. (C) 2012 The Combustion Institute. Published by Elsevier Inc. All rights reserved.

引用

页码：1325 / 1332

页数：8

共 18 条

[1] Barlow RS, 1998, TWENTY-SEVENTH SYMPOSIUM (INTERNATIONAL) ON COMBUSTION, VOLS 1 AND 2, P1087
[2] A detailed quantitative analysis of sparse-Lagrangian filtered density function simulations in constant and variable density reacting jet flows
Cleary, M. J.
Klimenko, A. Y.
[J]. PHYSICS OF FLUIDS, 2011, 23 (11)
[3] A Generalised Multiple Mapping Conditioning Approach for Turbulent Combustion
Cleary, M. J.
Klimenko, A. Y.
[J]. FLOW TURBULENCE AND COMBUSTION, 2009, 82 (04) : 477 - 491
[4] A sparse-Lagrangian multiple mapping conditioning model for turbulent diffusion flames
Cleary, M. J.
Klimenko, A. Y.
Janicka, J.
Pfitzner, M.
[J]. PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2009, 32 : 1499 - 1507
[5] DISPERSED PHASE MIXING .1. THEORY AND EFFECTS IN SIMPLE REACTORS
CURL, RL
[J]. AICHE JOURNAL, 1963, 9 (02) : 175 - 181
[6] PROBABILITY DENSITY-FUNCTION APPROACH FOR A TURBULENT AXISYMMETRIC HEATED JET - CENTERLINE EVOLUTION
DOPAZO, C
[J]. PHYSICS OF FLUIDS, 1975, 18 (04) : 397 - 404
[7] Sparse-Lagrangian FDF simulations of Sandia Flame E with density coupling
Ge, Yipeng
Cleary, M. J.
Klimenko, A. Y.
[J]. PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2011, 33 : 1401 - 1409
[8] Filtered mass density function for large-eddy simulation of turbulent reacting flows
Jaberi, FA
Colucci, PJ
James, S
Givi, P
Pope, SB
[J]. JOURNAL OF FLUID MECHANICS, 1999, 401 : 85 - 121
[9] Large Eddy Simulation of the Sandia Flame Series (D-F) using the Eulerian stochastic field method
Jones, W. P.
Prasad, V. N.
[J]. COMBUSTION AND FLAME, 2010, 157 (09) : 1621 - 1636
[10] Prediction of finite chemistry effects using large eddy simulation
Kempf, A
Sadiki, A
Janicka, J
[J]. PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2002, 29 (02) : 1979 - 1985

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