Experiments and Computations of Roll Torque Induced by Vortex-Fin Interaction

Peterson, Carl W.; Payne, Jeffrey L.; Wolfe, W.P.

doi:10.2514/6.2004-1069

Cited by 19 publications

(8 citation statements)

References 2 publications

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“…Recent investigations have shown that the effect of the induced flow angle at the fins due to the vortices generated by the jets is the main cause of the jet/fin interactions [1] [2][3] [5]. Prediction of this interaction and the resulting alteration of the force generated by the fins depend upon accurate prediction of the vortex strengths and locations with respect to the fins.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Two-Equations RANS Models for Simulation of Jet-in-Crossflow Problems

Arunajatesan

Bruner²

2012

50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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Results from an investigation of the predictive capabilities of various two-equation RANS models for the jet-in-crossflow problem are presented. The flow regime consists of a supersonic jet issuing into a transonic cross flow. The parameters varied are the jet momentum ratio, jet inclination angle, and cross flow Mach number. The goal of the investigation is to characterize the behavior of the turbulence models in this flow regimethis has implications for accurate predictions of vortex-fin interactions. The results of this study show that none of the RANS model examined are capable of capturing the vortex location and strength accurately. A detailed analysis of available experimental data shows that the Boussinessq approximation, fundamental to these models, is itself deficient for this category of flows. The analysis shows that vastly different length scales are associated with each component of the Reynolds stress and a single length scale model deficient in capturing this.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Two-Equations RANS Models for Simulation of Jet-in-Crossflow Problems

Arunajatesan

Bruner²

2012

50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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“…The JIC interaction plays a central role in the control of finned bodies of revolution that are maneuvered by spin rockets; the exhaust from the rockets induce an angle of attack at the fins, significantly modifying the aerodynamic forces and moments. 21 The problem is strongly vortical and has been extensively studied experimentally 19,20,22 (henceforth, collectively known as the "Beresh experiments"). The flowfield is dominated by a counter-rotating vortex pair, formed by a Kelvin-Helmholtz roll-up of the shear layer at the boundary between the jet and the crossflow.…”

Section: Introductionmentioning

confidence: 99%

Bayesian calibration of a k-ε turbulence model for predictive jet-in-crossflow simulations

Ray

Lefantzi

Arunajatesan

et al. 2014

44th AIAA Fluid Dynamics Conference

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We propose a Bayesian method to calibrate parameters of a k− RANS model to improve its predictive skill in jet-in-crossflow simulations. The method is based on the hypotheses that (1) informative parameters can be estimated from experiments of flow configurations that display the same, strongly vortical features of jet-in-crossflow interactions and (2) one can construct surrogates of RANS models for judiciously chosen outputs which serve as calibration observables. We estimate three k − parameters, (Cµ, C 2, C 1), from Reynolds stress measurements obtained from an incompressible flow-over-a-square-cylinder experiment. The k − parameters are estimated as a joint probability density function. Jet-incrossflow simulations performed with (Cµ, C 2, C 1) samples drawn from this distribution are seen to provide far better predictions than those obtained with nominal parameter values. We also find a (Cµ, C 2, C 1) combination which provides less than 15% error in a number of performance metrics. In contrast, the errors obtained with nominal parameter values may exceed 60%.

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“…Concurrently, fin balance measurements in a porous-wall transonic test section with a half-body configuration will examine the interaction properties very near Mach 1. This approach will seek nonlinear behavior in the transonic regime that may be particularly difficult to predict, an investigation motivated in part by the nearly chaotic effects witnessed in a jet/fin interaction experiment [15].…”

Section: Discussionmentioning

confidence: 99%

A Combined PIV / Force Balance Study of a Fin-Wake Aerodynamic Interaction

Beresh

Smith

Henfling

et al. 2007

2007 22nd International Congress on Instrumentation in Aerospace Simulation Facilities

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A sub-scale experiment has been constructed using fins mounted on one wall of a transonic wind tunnel to investigate the influence of fin tip vortices upon downstream control surfaces. Data are collected using a fin balance mounted on the downstream fin to measure the aerodynamic forces of the interaction, combined with stereoscopic Particle Image Velocimetry to measure vortex properties. The fin balance data show that the response of the downstream fin essentially is shifted from the baseline single-fin data dependent upon the angle of attack of the upstream fin. Freestream Mach number and the spacing between fins have secondary effects. The velocimetry shows that the vortex strength increases markedly with upstream fin angle of attack, though even an uncanted fin generates a noticeable wake. No Mach number effect can be discerned in the normalized data, but measurements taken progressively further from the fin trailing edge show the decay in vortex strength with downstream distance. Correlations between the force data and the velocimetry suggest that the interaction is fundamentally a result of an angle of attack induced upon the downstream fin by the vortex shed from the upstream fin tip.

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Experiments and Computations of Roll Torque Induced by Vortex-Fin Interaction

Cited by 19 publications

References 2 publications

Evaluation of Two-Equations RANS Models for Simulation of Jet-in-Crossflow Problems

Evaluation of Two-Equations RANS Models for Simulation of Jet-in-Crossflow Problems

Bayesian calibration of a k-ε turbulence model for predictive jet-in-crossflow simulations

A Combined PIV / Force Balance Study of a Fin-Wake Aerodynamic Interaction

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