2010
DOI: 10.2514/1.46521
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Reduced-Order Modeling of Two-Dimensional Supersonic Flows with Applications to Scramjet Inlets

Abstract: Control-oriented models of hypersonic vehicle propulsion systems require a reduced-order model of the scramjet inlet that is accurate to within 10% but requires less than a few seconds of computational time. To achieve this goal, a reduced-order model is presented, which predicts the solution of a steady two-dimensional supersonic flow through an inlet or around any other two-dimensional geometry. The model assumes that the flow is supersonic everywhere except in boundary layers and the regions near blunted le… Show more

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Cited by 70 publications
(65 citation statements)
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References 9 publications
(10 reference statements)
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“…i ) for each species, which are required in Eq. (5). The ROM simulates the 3-D mixing and 3-D turbulent combustion processes for a fuel jet that is injected perpendicular to an air crossflow.…”
Section: B Assumed-mixing Modelmentioning
confidence: 99%
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“…i ) for each species, which are required in Eq. (5). The ROM simulates the 3-D mixing and 3-D turbulent combustion processes for a fuel jet that is injected perpendicular to an air crossflow.…”
Section: B Assumed-mixing Modelmentioning
confidence: 99%
“…(3)(4)(5)(6)(7)(8)(9)], solving them in the following manner. We avoid formulating the problem in terms of c p and directly use the enthalpy curve fits, which are available from NASA CEA [32,33].…”
Section: Solution Proceduresmentioning
confidence: 99%
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“…Several control methods have been proposed in the control problem of scramjet engine [3,[8][9][10][11][12][13][14][15][16]. Most of these studies focused on the inlet control or the combustion control separately.…”
Section: Introductionmentioning
confidence: 99%
“…Recently there have been a number of papers on reduced order modelling of compressible fluids, e.g. with shock waves [2,53,54,55,56,57,58,59]. Most of existing ROMs for shock waves use the Galerkin (or Petrov-Galerkin) projection and POD approaches to generate the reduced order models.…”
Section: Model Reductionmentioning
confidence: 99%