34th AIAA Applied Aerodynamics Conference 2016
DOI: 10.2514/6.2016-3562
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Dynamic Flow Distortion Investigation in an S-duct using DDES and SPIV data

Abstract: The dynamic flow distortion generated within convoluted aero-engine intakes can affect the performance and operability of the engine. There is a need for a better understanding of the main flow mechanisms which promote flow distortion at the exit of S-shaped intakes. This paper presents a detailed analysis of the main coherent structures in an S-duct flow field based on a Delayed Detached Eddy Simulation. The capability of this numerical approach to capture the characteristics of the highly unsteady flow field… Show more

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Cited by 4 publications
(4 citation statements)
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“…Few published research assessed the flow distortion for intakes under yaw and pitch angles [15]. Previous studies [23][24][25] used Time-Resolved Particle Image Velocimetry (TR-PIV) to measure the unsteady flow distortion characteristics at the exit plane of S-shaped aero-engine intakes. This non-intrusive experimental technique enables synchronous measurement of the 3-component velocity vector across a plane with spatial resolution up to two orders of magnitude higher than standard intrusive distortion measurement techniques [25].…”
Section: Introductionmentioning
confidence: 99%
“…Few published research assessed the flow distortion for intakes under yaw and pitch angles [15]. Previous studies [23][24][25] used Time-Resolved Particle Image Velocimetry (TR-PIV) to measure the unsteady flow distortion characteristics at the exit plane of S-shaped aero-engine intakes. This non-intrusive experimental technique enables synchronous measurement of the 3-component velocity vector across a plane with spatial resolution up to two orders of magnitude higher than standard intrusive distortion measurement techniques [25].…”
Section: Introductionmentioning
confidence: 99%
“…The cameras featured a frame resolution of 1280 x 800 px (1MP) and a maximum straddle frame rate of 16,600 fps. The acquisition frequency is set at 4kHz, which is 10 times greater than dominant flow frequency that is around = 1.0 as predicted by the DDES simulations conducted by Gil-Prieto et al [21]. Each TR-PIV dataset consists of 20,000 instantaneous velocity snapshots, which are sufficient for the convergence of the out-of-plane velocity component and its standard deviation to within 0.2% and 0.4% respectively [17].…”
Section: B Tr-piv Specificationsmentioning
confidence: 99%
“…The simulations showed an unsteady vortex pattern in the side region of the duct. In the present literature Shear Layer Instabilities in S-ducts are assigned to Strouhal numbers between 0.6 ≤ Sr ≤ 1.06 (Gil-Prieto et al (2016). Differences are presented by the investigations of Garnier (2015), who assigns a relatively broadband Strouhal number range of 0.25 ≤ Sr ≤ 0.625 to the Shear Layer Instabilities in S-ducts.…”
Section: Introductionmentioning
confidence: 99%
“…The mechanism of this phenomenon was explained by the asymmetry of the separation area. Gil-Prieto et al (2016) presented the change from one dominant vortex to another in a time-resolved representation and analyzed the phenomenon of Swirl Switching in detail. Kalpakli Vester et al (2015) and Hellström et al (2013) investigated the phenomenon of Swirl-Switching on pipe elbows.…”
Section: Introductionmentioning
confidence: 99%