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/content/aip/journal/pof2/28/7/10.1063/1.4954657
1.
N. Peters, “Local quenching due to flame stretch and non-premixed turbulent combustion,” Combust. Sci. Technol. 30, 1 (1983).
http://dx.doi.org/10.1080/00102208308923608
2.
R. W. Bilger, “The structure of turbulent nonpremixed flames,” in 22th Symposium (International) on Combustion (Elsevier, 1988), Vol. 22, p. 475.
http://dx.doi.org/10.1016/S0082-0784(89)80054-2
3.
Y. Y. Lee and S. B. Pope, “Nonpremixed turbulent reacting flow near extinction,” Combust. Flame 101, 501 (1995).
http://dx.doi.org/10.1016/0010-2180(94)00240-S
4.
S. K. Liew, K. N. C. Bray, and J. B. Moss, “A stretched laminar flamelet model of turbulent non-premixed combustion,” Combust. Flame 56, 199 (1984).
http://dx.doi.org/10.1016/0010-2180(84)90037-3
5.
J. Janicka and N. Peters, “Prediction of turbulent jet diffusion flame lift-off using a PDF transport equation,” in 19th Symposium (International) on Combustion (The Combustion Institute, Pittsburgh, 1982), p. 367.
http://dx.doi.org/10.1016/S0082-0784(82)80208-7
6.
A. N. Kolmogorov, “A refinement of previous hypothesis concerning the local structure of turbulence in a viscous incompressible fluid at high Reynolds number,” J. Fluid Mech. 13, 82 (1962).
http://dx.doi.org/10.1017/S0022112062000518
7.
G. Blanquart and H. Pitsch, “Modeling autoignition in non-premixed turbulent combustion using a stochastic flamelet approach,” Proc. Combust. Inst. 30, 2745 (2005).
http://dx.doi.org/10.1016/j.proci.2004.08.261
8.
O. Soulard, V. Sabelnikov, and M. Gorokhovski, “Stochastic scalar mixing models accounting for turbulent frequency multiscale fluctuations,” Int. J. Heat Fluid Flow 25, 875 (2004).
http://dx.doi.org/10.1016/j.ijheatfluidflow.2004.03.008
9.
H. Pitsch and S. Fedotov, “Investigation of scalar dissipation rate fluctuations in non-premixed turbulent combustion using a stochastic approach,” Combust. Theory Modell. 5, 41 (2000).
http://dx.doi.org/10.1088/1364-7830/5/1/303
10.
M. Oberlack, R. Arlitt, and N. Peters, “On stochastic Damkohler number variations in a homogeneous flow reactor,” Combust. Theory Modell. 4, 495 (2000).
http://dx.doi.org/10.1088/1364-7830/4/4/307
11.
A. Klimenko and R. W. Bilger, “Conditional moment closure for turbulent combustion,” Prog. Energy Combust. Sci. 25, 595 (1999).
http://dx.doi.org/10.1016/S0360-1285(99)00006-4
12.
A. Sahay and E. O’Brien, “Uniform mean scalar gradient in grid turbulence: Conditioned dissipation and production,” Phys. Fluids A 5, 1076 (1993).
http://dx.doi.org/10.1063/1.858623
13.
R. W. Bilger, “The structure of diffusion flames,” Combust. Sci. Technol. 13, 155 (1976).
http://dx.doi.org/10.1080/00102207608946733
14.
E. Mastorakos, T. A. Baritaud, and T. J. Poinsot, “Numerical simulations of autoignition in turbulent mixing flows,” Combust. Flame 109, 198 (1997).
http://dx.doi.org/10.1016/S0010-2180(96)00149-6
15.
G.-H. Wang, N. T. Clemens, R. S. Barlow, and P. L. Varghese, “A system model for assessing scalar dissipation measurement accuracy in turbulent flows,” Meas. Sci. Technol. 18(5), 1287 (2007).
http://dx.doi.org/10.1088/0957-0233/18/5/015
16.
G. H. Wang and N. T. Clemens, “Effects of imaging system blur on measurements of flow scalars and scalar gradients,” Exp. Fluids 37, 194 (2004).
http://dx.doi.org/10.1007/s00348-004-0801-7
17.
R. W. Dibble, W. Kollman, and R. W. Schafer, “Measurements and predictions of scalar dissipation in turbulent jet flames,” in 20th Symposium (International) on Combustion (The Combustion Institute, 1984), p. 345.
18.
E. Effelsberg and N. Peters, “Scalar dissipation rates in turbulent jets and jet diffusion flames,” in 22nd Symposium (International) on Combustion (The Combustion Institute, 1988), p. 693.
19.
K. Sardi, A. M. K. P. Taylor, and J. Whitelaw, “Conditional scalar dissipation statistics in a turbulent counterflow,” J. Fluid Mech. 361, 1 (1998).
http://dx.doi.org/10.1017/S0022112098008635
20.
J. A. Sutton and J. F. Driscoll, “Scalar dissipation rate measurements in flames. A method to improve spatial resolution by using nitric oxide PLIF,” in Proceedings of the Combustion Institute 29 (Elsevier, 2002), p. 2727.
http://dx.doi.org/10.1016/S1540-7489(02)80332-7
21.
D. C. Kyritsis, V. S. Santoro, and A. Gomez, “Quantitative scalar dissipation rate measurements in vortex-perturbed counterflow diffusion flames,” in Proceedings of the Combustion Institute 29 (Elsevier, 2002), p. 1679.
http://dx.doi.org/10.1016/S1540-7489(02)80206-1
22.
D. Wang and C. Tong, “Experimental study of velocity-scalar filtered joint density function for LES of turbulent combustion,” in Proceedings of the Combustion Institute 30 (Elsevier, 2005), p. 567.
http://dx.doi.org/10.1016/j.proci.2004.08.032
23.
C. N. Markides and E. Mastorakos, “Measurements of scalar dissipation in a turbulent plume with planar laser-induced fluorescence of acetone,” Chem. Eng. Sci. 61, 2835 (2006).
http://dx.doi.org/10.1016/j.ces.2005.10.040
24.
N. Soulopoulos, “Experimental investigation of scalar mixing in unsteady turbulent jets,” Ph.D. thesis, Imperial College London, Mechanical Engineering Department, 2009.
25.
S. F. Ahmed, “Scalar dissipation rate statistics in turbulent flows using planar laser induced fluorescence measurements,” Int. J. Heat Fluid Flow 33, 220 (2012).
http://dx.doi.org/10.1016/j.ijheatfluidflow.2011.12.006
26.
Jayesh and Z. Warhaft, “Probability distribution, conditional dissipation and transport of passive temperature fluctuations in grid generated turbulence,” Phys. Fluids A 4 (1992).
http://dx.doi.org/10.1063/1.858469
27.
P. Kailasnath, K. R. Sreenivasan, and J. R. Saylor, “Conditional scalar dissipation rates in turbulent wakes, jets and boundary layers,” Phys. Fluids A 5, 3207 (1993).
http://dx.doi.org/10.1063/1.858677
28.
F. Anselmet and R. A. Antonia, “Joint statistics between temperature and its dissipation,” Phys. Fluids 28, 1048 (1985).
http://dx.doi.org/10.1063/1.865027
29.
T. F. Dixon, J. S. Truelove, and T. F. Wall, “Aerodynamic studies on swirled coaxial jets from nozzles with divergent quarls,” J. Fluids Eng. 105, 197 (1983).
http://dx.doi.org/10.1115/1.3240964
30.
V. D. Milosavljevic, “Natural gas, kerosene and pulverized fuel fired swirl burners,” Ph.D. thesis,Imperial College of Science Technology and Medicine, Department of Mechanical Engineering, 1993.
31.
W. Steenbergen, “Turbulent pipe flow with swirl,” Ph.D. thesis, Technishe Universiteit Eindhoven, Netherlands, 1995.
32.
N. Soulopoulos, Y. Hardalupas, and A. M. K. P. Taylor, “Scalar dissipation rate measurements in a starting jet,” Exp. Fluids 55, 1 (2014).
http://dx.doi.org/10.1007/s00348-014-1685-9
33.
M. Petrou and P. Bosdogianni, Image Processing: The Fundamentals (John Wiley & Sons Ltd., 1999).
34.
F. J. Krawczynski, B. Renou, L. Danaila, and F. X. Demoulin, “Small-scale measurements in a partially stirred reactor,” Exp. Fluids 40, 667 (2002).
http://dx.doi.org/10.1007/s00348-005-0099-0
35.
M. C. Thurber, “Acetone laser-induced fluorescence for temperature and multiparameter imaging in gaseous flows,” Topical Report TSD-120, Thermosciences Division, Department of Mechanical Engineering, Stanford University, Stanford, CA, 1999.
36.
D. A. Everest, J. F. Driscoll, W. J. A. Dahm, and D. A. Feikema, “Images of two dimensional field and temperature gradients to quantify mixing rates within a nonpremixed turbulent jet flame,” Combust. Flame 101, 58 (1995).
http://dx.doi.org/10.1016/0010-2180(94)00193-V
37.
M. Namazian, R. W. Scheffer, and J. Kelly, “Scalar dissipation measurements in the developing region of a jet,” Combust. Flame 74, 147 (1988).
http://dx.doi.org/10.1016/0010-2180(88)90013-2
38.
K. R. Sreenivasan, R. A. Antonia, and H. Q. Dahn, “Temperature dissipation fluctuations in a turbulent boundary layer,” Phys. Fluids 20, 1238 (1977).
http://dx.doi.org/10.1063/1.862005
39.
W. J. A. Dahm and K. A. Buch, “Lognormality of the scalar dissipation PDF in turbulent flows,” Phys. Fluids 1, 1290 (1989).
http://dx.doi.org/10.1063/1.857356
40.
H. Tennekes and J. L. Lumley, A First Course in Turbulence (The MIT Press, 1972).
41.
V. Stetsyuk, N. Soulopoulos, Y. Hardalupas, and A. M. K. P. Taylor, “Experimental assessment of presumed filtered density function models,” Phys. Fluids 27, 065107 (2015).
http://dx.doi.org/10.1063/1.4922169
42.
V. Stetsyuk, “Experimental study of combustion and scalar mixing in swirling jet flows,” Ph.D. thesis, Imperial College London, Department of Mechanical Engineering, 2014.
http://aip.metastore.ingenta.com/content/aip/journal/pof2/28/7/10.1063/1.4954657
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/content/aip/journal/pof2/28/7/10.1063/1.4954657
2016-07-11
2016-09-28

Abstract

The scalar dissipation rate statistics were measured in an isothermal flow formed by discharging a central jet in an annular stream of swirling air flow. This is a typical geometry used in swirl-stabilised burners, where the central jet is the fuel. The flow Reynolds number was 29 000, based on the area-averaged velocity of 8.46 m/s at the exit and the diameter of 50.8 mm. The scalar dissipation rate and its statistics were computed from two-dimensional imaging of the mixture fraction fields obtained with planar laser induced fluorescence of acetone. Three swirl numbers, S, of 0.3, 0.58, and 1.07 of the annular swirling stream were considered. The influence of the swirl number on scalar mixing, unconditional, and conditional scalar dissipation rate statistics were quantified. A procedure, based on a Wiener filter approach, was used to de-noise the raw mixture fraction images. The filtering errors on the scalar dissipation rate measurements were up to 15%, depending on downstream positions from the burner exit. The maximum of instantaneous scalar dissipation rate was found to be up to 35 s−1, while the mean dissipation rate was 10 times smaller. The probability density functions of the logarithm of the scalar dissipation rate fluctuations were found to be slightly negatively skewed at low swirl numbers and almost symmetrical when the swirl number increased. The assumption of statistical independence between the scalar and its dissipation rate was valid for higher swirl numbers at locations with low scalar fluctuations and less valid for low swirl numbers. The deviations from the assumption of statistical independence were quantified. The conditional mean of the scalar dissipation rate, the standard deviation of the scalar dissipation rate fluctuations, the weighted probability of occurrence of the mean conditional scalar dissipation rate, and the conditional probability are reported.

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