Detailed characteristics of drop-laden mixing layers: Large eddy simulation predictions compared to direct numerical simulation

被引:11
|
作者
Okong'o, Nora [1 ]
Leboissetier, Anthony [1 ]
Bellan, Josette [1 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
关键词
D O I
10.1063/1.2990758
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Results are compared from direct numerical simulation (DNS) and large eddy simulation (LES) of a temporal mixing layer laden with evaporating drops to assess the ability of LES to reproduce detailed characteristics of DNS. The LES used computational drops, each of which represented eight physical drops, and a reduced flow field resolution using a grid spacing four times larger than that of the DNS. The LES also used models for the filtered source terms, which express the coupling of the drops with the flow, and for the unresolved subgrid-scale (SGS) fluxes of species mass, momentum, and enthalpy. The LESs were conducted using one of three different SGS-flux models: dynamic-coefficient gradient (GRD), dynamic-coefficient Smagorinsky (SMD), and constant-coefficient scale similarity (SSC). The comparison of the LES with the filtered-and-coarsened (FC) DNS considered detailed aspects of the flow that are of interest in ignition or full combustion. All LESs captured the largest-scale vortex, the global amount of vapor emanating from the drops, and the overall size distribution of the drops. All LESs tended to underpredict the global amount of irreversible entropy production (dissipation). The SMD model was found unable to capture either the global or local vorticity variation and had minimal small-scale activity in dynamic and thermodynamic variables compared to the FC-DNS. The SMD model was also deficient in predicting the spatial distribution of drops and of the dissipation. In contrast, the GRD and SSC models did mimic the small-scale activity of the FC-DNS and the spatial distribution of drops and of the dissipation. Therefore, the GRD and SSC models are recommended, while the SMD model seems inappropriate for combustion or other problems where the local activity must be predicted. (C) 2008 American Institute of Physics. [DOI: 10.1063/1.2990758]
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Direct Numerical Simulation and Large-Eddy Simulation of Supersonic Channel Flow
    Taieb, David
    Ribert, Guillaume
    JOURNAL OF PROPULSION AND POWER, 2013, 29 (05) : 1064 - 1075
  • [22] Large eddy simulation and direct numerical simulation of homogeneous nucleation in turbulent wakes
    Murfield, N. J.
    Garrick, S. C.
    JOURNAL OF AEROSOL SCIENCE, 2013, 60 : 21 - 33
  • [23] Direct numerical simulation of binary-species mixing layers
    Pezeshki, M.
    Luo, K. H.
    Gu, S.
    DIRECT AND LARGE-EDDY SIMULATION VIII, 2011, 15 : 219 - 224
  • [24] Direct numerical simulation of autoigniting mixing layers in MILD combustion
    van Oijen, J. A.
    PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2013, 34 : 1163 - 1171
  • [25] DIRECT NUMERICAL-SIMULATION OF CHEMICALLY REACTING MIXING LAYERS
    MIYAUCHI, T
    TANAHASHI, M
    JSME INTERNATIONAL JOURNAL SERIES B-FLUIDS AND THERMAL ENGINEERING, 1993, 36 (02) : 307 - 312
  • [26] Direct numerical simulation of a particle-laden mixing layer with a chemical reaction
    Michioka, T
    Kurose, R
    Sada, K
    Makino, H
    INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2005, 31 (07) : 843 - 866
  • [27] Direct numerical simulation and subgrid analysis of a transitional droplet laden mixing layer
    Miller, RS
    Bellan, J
    PHYSICS OF FLUIDS, 2000, 12 (03) : 650 - 671
  • [28] NUMERICAL STUDY ON THE MIXING CHARACTERISTICS UNDER TRANSCRITICAL AND SUPERCRITICAL INJECTION USING LARGE EDDY SIMULATION
    Wu, Wei
    Dong, Wenzhi
    Qin, Wenjin
    Yue, Meng
    Xie, Maozhao
    THERMAL SCIENCE, 2022, 26 (02): : 1301 - 1315
  • [29] Direct numerical simulation of gaseous mixing layers laden with multicomponent-liquid drops: liquid-specific effects
    Le Clercq, PC
    Bellan, J
    JOURNAL OF FLUID MECHANICS, 2005, 533 : 57 - 94
  • [30] Direct Numerical Simulation and Large Eddy Simulation of a 67-Pebble Bed Experiment
    Reger, David
    Merzari, Elia
    Balestra, Paolo
    Schunert, Sebastian
    Hassan, Yassin
    King, Stephen
    NUCLEAR TECHNOLOGY, 2024, 210 (07) : 1258 - 1278