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dc.contributor.advisorHobson, Garth V.
dc.contributor.authorChen, Bingqiang
dc.dateSep-12
dc.date.accessioned2012-11-14T00:02:22Z
dc.date.available2012-11-14T00:02:22Z
dc.date.issued2012-09
dc.identifier.urihttp://hdl.handle.net/10945/17340
dc.description.abstractUsing a 3-D axis-symmetric model, the cold-flow performance of a miniature ramjet in Mach 4 flow was predicted with the computational fluids dynamic (CFD) code from ANSYS-CFX. The nozzle-throat area was varied to increase the backpressure and this pushed the normal shock that was sitting within the inlet, out to the lip of the inlet cowl. Using the eddy dissipation combustion model in ANSYS-CFX, a combustion analysis was performed on the miniature ramjet. The analysis involved the single-step, stoichiometric combustion of hydrogen and oxygen within the combustion chamber of the ramjet. The drag force induced on the miniature ramjet when subjected to Mach 4 flow in a supersonic wind tunnel was measured using cryogenic strain gauges arranged in a Wheatstone bridge. A CFD cold-flow drag prediction was compared against this measured drag force to establish the formers accuracy in drag prediction. For all CFD predictions, the two-equation Shear-Stress-Transport (SST) turbulence model was used. The SST turbulence model blends the k-epsilon and k-omega turbulence model and effects the transportation of the turbulent shear stress for improved accuracy in turbulence modeling.en_US
dc.description.urihttp://archive.org/details/numericalperform1094517340
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleNumerical Performance Prediction of a Miniature at Mach 4en_US
dc.typeThesisen_US
dc.contributor.secondreaderBrophy, Christopher M.
dc.contributor.departmentEngineering Science (Mechanical Engineering)
dc.subject.authorMach 4en_US
dc.subject.authorRamjeten_US
dc.subject.authorDragen_US
dc.subject.authorTurbulence Modelingen_US
dc.subject.authorSimulationen_US
dc.subject.authorANSYS CFXen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceMajor, Singapore Armed Forcesen_US
etd.thesisdegree.nameMaster of Science In Engineering Science (Mechanical Engineering)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineEngineering Science (Mechanical Engineering)en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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