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    Multi-environment PDF 모델을 이용한 MILD 연소과정 해석 = Multi-environment PDF Modeling for MILD Combustion Processes

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    https://www.riss.kr/link?id=A104297752

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In this study, the multi-environment probability density function(MEPDF) approach has been applied to numerically investigate Delft-Jet-in-Hot-Coflow(DJHC) turbulent flames under Moderate or Intense Lowoxygen Dilution (MILD) combustion condition. Computations are made for two different jet velocities(Re = 4100 and 8800). In terms of mean axial velocity, temperature, and turbulent kinetic energy, numerical results are in reasonably good agreements with experimental data even if there exist the noticeable deviations in downstream region. Based on numerical results, the detailed discussions are made for the essential features of the non-visible flame structure and MILD combustion processes.
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    In this study, the multi-environment probability density function(MEPDF) approach has been applied to numerically investigate Delft-Jet-in-Hot-Coflow(DJHC) turbulent flames under Moderate or Intense Lowoxygen Dilution (MILD) combustion condition. Comp...

    In this study, the multi-environment probability density function(MEPDF) approach has been applied to numerically investigate Delft-Jet-in-Hot-Coflow(DJHC) turbulent flames under Moderate or Intense Lowoxygen Dilution (MILD) combustion condition. Computations are made for two different jet velocities(Re = 4100 and 8800). In terms of mean axial velocity, temperature, and turbulent kinetic energy, numerical results are in reasonably good agreements with experimental data even if there exist the noticeable deviations in downstream region. Based on numerical results, the detailed discussions are made for the essential features of the non-visible flame structure and MILD combustion processes.

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    참고문헌 (Reference)

    1 C. T. Bowman, "http://combustion.berkeley. edu/gri-mech/new21/version21/text21.html"

    2 S. Zahirović, "Validation of flow simulation and gas combustion sub-models for the CFD-based prediction of NOx formation in biomass grate furnaces" 15 : 61-87, 2010

    3 E. Oldenhof, "Role of entrainment in the stabilisation of jet-in-hot-coflow flames" 158 : 1553-1563, 2011

    4 S. B. Pope, "PDF methods for turbulent reactive flows" 11 : 119-192, 1985

    5 A. Mardani, "Numerical study of influence of molecular diffusion in the mild combustion regime" 14 : 747-774, 2010

    6 J. W. Labahn, "Numerical simulation of the Delft-Jet-in-Hot-Coflow (DJHC) flame using Conditional Sourceterm Estimation" 35 : 3547-3555, 2015

    7 A. Dongre, "Numerical investigation of MILD combustion using multienvironment Eulerian probability density function modeling" 6 (6): 357-386, 2014

    8 Akroyd J., "Numerical investigation of DQ MoM-IEM as a turbulent reaction closure" 65 : 1915-1924, 2010

    9 A. De, "Numerical Simulation of Delft-Jet-in-Hot-Coflow (DJHC)Flames Using the Eddy Dissipation Concept Model for Turbulence-Chemistry Interction" 87 (87): 537-567, 2011

    10 S. T. Jeon, "Numerical Investigations of turbulent CH4/H2 flames under MILD condition" 267-268, 2015

    1 C. T. Bowman, "http://combustion.berkeley. edu/gri-mech/new21/version21/text21.html"

    2 S. Zahirović, "Validation of flow simulation and gas combustion sub-models for the CFD-based prediction of NOx formation in biomass grate furnaces" 15 : 61-87, 2010

    3 E. Oldenhof, "Role of entrainment in the stabilisation of jet-in-hot-coflow flames" 158 : 1553-1563, 2011

    4 S. B. Pope, "PDF methods for turbulent reactive flows" 11 : 119-192, 1985

    5 A. Mardani, "Numerical study of influence of molecular diffusion in the mild combustion regime" 14 : 747-774, 2010

    6 J. W. Labahn, "Numerical simulation of the Delft-Jet-in-Hot-Coflow (DJHC) flame using Conditional Sourceterm Estimation" 35 : 3547-3555, 2015

    7 A. Dongre, "Numerical investigation of MILD combustion using multienvironment Eulerian probability density function modeling" 6 (6): 357-386, 2014

    8 Akroyd J., "Numerical investigation of DQ MoM-IEM as a turbulent reaction closure" 65 : 1915-1924, 2010

    9 A. De, "Numerical Simulation of Delft-Jet-in-Hot-Coflow (DJHC)Flames Using the Eddy Dissipation Concept Model for Turbulence-Chemistry Interction" 87 (87): 537-567, 2011

    10 S. T. Jeon, "Numerical Investigations of turbulent CH4/H2 flames under MILD condition" 267-268, 2015

    11 Q. Tang, "Multi-environment probability density function method for modelling turbulent combustion using realistic chemical kinetics" 11 : 889-907, 2007

    12 H. Wang, "Large eddy simulation/probability density function modeling of a turbulent CH4/H2/N2 jet flame" 33 : 1319-1330, 2011

    13 W. P. Jones, "Large Eddy simulation of the sandia flame series (D, E and F) using the Eulerian stochastic field method" 157 : 1621-1636, 2010

    14 이필형, "Laboratory Scale 연소로를 적용한 산소 메탄 MILD 연소에 대한 실험적 연구" 한국연소학회 21 (21): 6-15, 2016

    15 S. R. Shabanian, "Kinetic and fluid dynamic modeling of ethylene jet flames in diluted and heated oxidant stream combustion conditions" 52 (52): 538-554, 2013

    16 E. Oldenhof, "Ignition kernel formation and lift-off behaviour jet-in-hot-coflow flames" 157 : 1167-1178, 2010

    17 P. Sabia, "Hydrogen-enriched methane mild combustion in a well stirred reactor" 31 : 469-475, 2007

    18 H. Tsuji, "High temperature air combustion: from energy conservation to pollution reduction" CRC Press 2002

    19 M. Mörtberg, "Experimental investigation of flow phenomena of a single fuel jet in cross-flow during highly preheated air combustion conditions" 129 (129): 556-564, 2007

    20 J. W. Lee, "DQMOM based PDF transport modeling for turbulent lifted nitrogendiluted hydrogen jet flame with autoignition" 37 : 18498-18508, 2012

    21 R. O. Fox, "Computational models for turbulent reacting flows" Cambridge University Press 2003

    22 A. De, "Assessment of turbulencechemistry interaction models in MILD combustion regime" 94 (94): 439-478, 2015

    23 B. J. Isaac, "A novel methodology for chemical time scale evaluation with detailed chemical reaction kinetics" 27 : 2255-2265, 2013

    24 L. Valiño, "A field Monte Carlo formulation for calculating the probability density function of a single scalar in a turbulent flow" 60 : 157-172, 1998

    25 H. S. Koo, "A Quadrature-based LES/Transported Probability Density Function Approach for Modeling Supersonic Combustion" 33 : 2203-2210, 2011

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2022 평가 재인증평가 신청대상 (재인증)
    2019-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2016-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2012-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2009-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2008-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2007-01-01 등재 등재후보 1차 FAIL (등재후보1차) KCI등재후보
    2005-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.31 0.31 0.29
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.27 0.25 0.632 0.05
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