2014
DOI: 10.1007/s10494-014-9536-6
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A Methodology for Soot Prediction Including Thermal Radiation in Complex Industrial Burners

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Cited by 17 publications
(10 citation statements)
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“…They rely on a spherical assumption for soot particles and they do not give access to the number density function (NDF). However, their low CPU cost and ease of implementation into CFD solvers have made them preferred candidates for the investigation of complex configurations [2,3]. Alternatively, methods of moments (MOM) solve the N first moments of the NDF, the main issue being to compute their source terms, which requires untransported moments.…”
Section: Different Methods Have Been Applied To Les Of Sooting Turbulmentioning
confidence: 99%
“…They rely on a spherical assumption for soot particles and they do not give access to the number density function (NDF). However, their low CPU cost and ease of implementation into CFD solvers have made them preferred candidates for the investigation of complex configurations [2,3]. Alternatively, methods of moments (MOM) solve the N first moments of the NDF, the main issue being to compute their source terms, which requires untransported moments.…”
Section: Different Methods Have Been Applied To Les Of Sooting Turbulmentioning
confidence: 99%
“…However, the used empirical model for the soot volume fraction, provided as a function of the local equivalence ratio, lacks of physics and generality. Lecocq et al [14] have also investigated soot radiation in coupled LES simulations based on a DOM solver of the RTE and a semi-empirical model for soot predictions.…”
Section: Introductionmentioning
confidence: 99%
“…In simple nucleation models, nucleation rates are correlated to the acetylene concentration [7]. Because such models are computationally efficient, they are nowadays often used for simulations of complex combustion configurations as for example turbulent jet flames [8,9], gas turbine combustors [10] or diesel engines [11]. A recent study by Roy and Haworth [12] confirmed that good soot predictions can be obtained with such models.…”
Section: Introductionmentioning
confidence: 99%