2019
DOI: 10.1016/j.proci.2018.06.142
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Thermoacoustic analysis of a laminar premixed flame using a linearized reactive flow solver

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Cited by 28 publications
(17 citation statements)
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“…This would be a flame transfer function with distributed time delays with different time delays for the different geometries. The optimization method described in this paper might potentially be applied to the linearized reactive flow solver presented in [38], where the flame transfer function is not needed a priori.…”
Section: Discussionmentioning
confidence: 99%
“…This would be a flame transfer function with distributed time delays with different time delays for the different geometries. The optimization method described in this paper might potentially be applied to the linearized reactive flow solver presented in [38], where the flame transfer function is not needed a priori.…”
Section: Discussionmentioning
confidence: 99%
“…The compressible reactive flow equations, which are to be linearized around the base state for the following analysis, are formulated in terms of conservative variables (𝜌, 𝜌𝑢, 𝜌𝑣, 𝜌ℎ, 𝜌𝑌 𝑘 ) in Cartesian coordinates (𝑥, 𝑦), where (𝑢, 𝑣) are the streamwise and cross-stream velocity components, 𝜌 is the density, ℎ is the sensible enthalpy and 𝑌 𝑘 is the mass fraction of species 𝑘. Following the notation of Avdonin et al [31], these equations are given as…”
Section: Nonlinear Governing Equationsmentioning
confidence: 99%
“…Recent work on premixed laminar flames, by Polifke and coworkers [31,32,33], is highly relevant to the present study. The objective of Avdonin et al [31] was to introduce a new approach that can accurately predict FTFs and thermoacoustic modes.…”
Section: Introductionmentioning
confidence: 98%
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“…Several approaches to understand thermo-acoustic instabilities range from 1) understanding physical mechanisms, viz. study of flow structures, flame-velocity coupling etc [3,4,5] 2) performing high fidelity computations, whereby the entire system is solved using approaches like compressible LES [6,7], hybrid approaches [8,9] and 3) network models, whereby each subsystem is modeled separately and linked by transfer matrices [10,11,12].…”
Section: Introductionmentioning
confidence: 99%