55th AIAA Aerospace Sciences Meeting 2017
DOI: 10.2514/6.2017-1622
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Swirling Flow Evolution Part 2: StreamFlow 2D+t Model Validated with Stereo PIV Measurements

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Cited by 12 publications
(4 citation statements)
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“…They seem to mix quite quickly, and are almost unobservable at the 1.50D plane. The small-scale data have previously been successfully compared to an inviscid and incompressible low order flow development model, in which the in-plane velocity set as the initial condition was determined from the same goal profiles used to design the experimental distortion screen, and the axial development of the flow was treated as the time evolution of the profile [35]. The similarities of the small-scale flow with the full-scale experiment indicate that there are no further physics that need to be described for the higher Reynolds number flow that is far enough upstream of the engine fan face and outside of the duct inner-diameter boundary layer.…”
Section: Resultsmentioning
confidence: 99%
“…They seem to mix quite quickly, and are almost unobservable at the 1.50D plane. The small-scale data have previously been successfully compared to an inviscid and incompressible low order flow development model, in which the in-plane velocity set as the initial condition was determined from the same goal profiles used to design the experimental distortion screen, and the axial development of the flow was treated as the time evolution of the profile [35]. The similarities of the small-scale flow with the full-scale experiment indicate that there are no further physics that need to be described for the higher Reynolds number flow that is far enough upstream of the engine fan face and outside of the duct inner-diameter boundary layer.…”
Section: Resultsmentioning
confidence: 99%
“…Prior findings on StreamVane aerodynamics indicate that the dominant secondary flow dynamics are Reynolds number independent [17,18], and that the generation of the distortions is Mach number independent until vanes choke [19]. For low-speed small scale wind tunnel experiments of single vortex distortions, secondary flow development is well-predicted by inviscid dynamics of axial vorticity [20]. This makes the StreamVane an effective tool in generating distortions.…”
Section: Introductionmentioning
confidence: 94%
“…Predicted development of experimental flow at the 1.15D plane (top), and at the 0.44D plane (bottom), using the StreamFlow model[20] compared to the experimental data from the engineFig. 10Normalized axial velocity profile.…”
mentioning
confidence: 99%
“…The target profile (at the AIP) was used to produce a corresponding profile at the StreamVane TM trailing edge, using StreamFlow, a computational method developed at Virginia Tech. A conceptually similar technique, operating on a pressure-velocity formulation and utilizing the open-source CFD code OpenFOAM, can be found at [16]. While the method described was effective at solving the forward problem (producing a downstream AIP profile based on a known StreamVane TM exit profile), it was not suitable for directly solving the inverse problem (finding the necessary StreamVane TM exit profile to produce a desired AIP profile) due to numerical instability.…”
Section: Streamvane Design Using Cfdmentioning
confidence: 99%