Application of passive flow control techniques to attenuate the unsteady near wake of airborne turrets in subsonic flow
Introduction
External turrets are often installed on military aircraft and serve many purposes, among which are communication, photography, remote sensing, etc. [1]. Such turrets are essentially finite-length bluff bodies under cross-flow conditions, typically comprising a wall-mounted circular cylinder (the base), of height h and diameter D, and a matching hemispherical dome. Studies of airborne turrets have gained much popularity in recent years, in particular for use with unmanned aerial vehicles (UAVs), where both experiments and numerical simulations are employed to gain knowledge on the complex flow field characteristics and the aero-optical effects (e.g., aberrations, distortions, etc.) experienced by such configurations [2], [3], [4], [5], [6], [7].
The flow field around airborne turrets in subsonic conditions is highly three-dimensional, unsteady and dominated by separated vortical structures [4]. The flow is attached on most of the turret front part, where the adverse pressure gradient on the turret forces the flow to separate at some circumferential angle ϕ (from the leading edge of the turret), resulting in a three-dimensional and unsteady flow field. Snyder et al. [1] investigated experimentally turrets with an aspect ratio of and reported that flow separation takes place at the rear of the turret, at about from the leading edge for Reynolds numbers between to . Three main flow features characterize the flow field aft of turrets with an [4], [8]: i) two counter-rotating trailing (streamwise) vortices separating from the back of the upper hemispherical dome, resulting from the downwash caused by the lower base pressure; ii) a periodic alternate spanwise vortex shedding from the turret sides, which is highly dependent on the turret aspect ratio; and iii) two secondary vortices on both sides of the turret base. All these vortical structures interact with the base horseshoe vortex to create two large streamwise trailing vortices further downstream.
To gain fundamental insights into the flow characteristics generated around turrets with an , a simplified model of a finite-length wall-mounted circular cylinder can be utilized. As reported in previous studies [4], [7], [9], [10], [11], [12], [13], the flow field around such simplified models, as well as turrets, is dependent on many parameters, among which are the cylinder AR, Reynolds number, thickness of the incoming boundary layer, surface roughness and free stream turbulence. Of these, the two most important parameters that determine the unsteady flow field characteristics downstream are the cylinder AR and its free-end conditions [12], [14], [15]. For a finite-length wall-mounted circular cylinder in a cross-flow, periodic alternate vortex shedding occurs from both sides of the cylinder, forming a Kármán vortex street. The near wake flow characteristics mainly depend on the cylinder AR [16]. When the AR falls below a critical value that ranges from 1 to 7 [14], vortex shedding changes from the anti-symmetrical Kármán type to the symmetric ‘arch’ type. For sufficiently low AR cylindrical geometries, anti-symmetrical Kármán shedding is frequently observed [17]. This highly unsteady environment contributes not only to drag enhancement but also to the development of a highly unsteady side force, which can be larger than the drag force [2]. Such high amplitude unsteady side loads, when developed on the circular cylinder base of airborne turrets [7], may lead to performance degradation of small aircraft such as UAVs.
The complex flow characteristics around wall-mounted circular cylinders and turrets have also been studied numerically. Studies that utilized the Reynolds Averaged Navier-Stokes (RANS), unsteady RANS (URANS) and Partially Averaged Navier-Stokes (PANS) modeling approaches have reported only limited agreement between the numerical results and available experimental data [7], [18], [19], [20], [21], [22]. Due to the unsteady nature of the problem, many studies have utilized higher-fidelity Large Eddy Simulation (LES) and hybrid RANS/LES methodologies, reporting an improved accuracy of the numerical results [3], [10], [23], [24], [25], [26], [27]. These studies demonstrated the importance of using high-fidelity models to accurately resolve the flow field around wall-mounted circular cylinders and turrets. Moreover, they underlined the importance of combined numerical and experimental investigations for a given problem of this kind. It is noteworthy, however, that at realistic Reynolds numbers relevant for aircraft in flight (on the order of millions), a properly resolved LES for a full three-dimensional problem is impractical, due to the large mesh requirements and computational resources. For this reason, LESs have only been used to model low Reynolds number flow problems [10], [28], [29]. For numerical solutions of realistic wall-mounted circular cylinders and turrets, hybrid RANS/LES methods are preferred [3], [23], [24], [25], [26], [30].
As most airborne turrets are sensitive to the external flow environment, aerodynamic shielding with fairings is frequently preferred, as previously stated in the literature [1], [19], [31], [32]. These solutions, however, may not be practical for most UAVs in which weight balance is crucial for vehicle performance. Several studies have reported that active flow control devices, such as suction actuators and synthetic jets, can be used for delaying flow separation on turrets [3], [33]. Similar improvement of the flow field around turrets was also achieved by using passive flow control devices, such as vortex generators, porous surfaces and forward partition plates [3], [21], [34]. Other devices to passively control the flow around the circular cylinder base include geometric modifications, such as helical wires and strakes wound around the circumference, dimple surfaces, spanwise splits, circumferential grooves, spanwise grooves, and roughness strips [35], [36], [37], [38], [39] – all of which promote transition and presumably lock the separation line over the cylinder surface. Passive flow control, if effective, is a logical choice for turrets installed on UAVs: it does not involve any moving parts to complicate the turret assembly, does not require additional energy to control the flow, and tends to be effective over a range of flow regimes, as opposed to other active flow control techniques.
In this study, we investigate experimentally a turret model comprising a hemispherical dome on a cylindrical body (), which is similar to typical airborne turrets mounted on UAVs. The flow conditions in the wind tunnel we used (such as Reynolds number and turbulent intensity) are similar to those that a full-scale turret would experience during flight. Given the relatively high Reynolds number [40], [41], [42], a supercritical flow regime [35] is expected around the turret model, with anti-symmetrical vortex shedding, dominating the near wake downstream of the cylindrical base, due to its low AR [23], [43]. Herein, we study how local surface modifications on the cylinder base can mitigate the turret's wake flow unsteadiness, thus, eliminating the large unsteady side loads exerted on it. The choice of these passive flow control devices and their location on the turret model is based on preliminary hybrid RANS/LES CFD simulations, performed to map the flow around the baseline turret and identify the location where flow separation is initiated (see further details in Appendix A). The passive flow control devices investigated were chosen because of their easy installation on real-world turrets. A particle image velocimetry (PIV) technique was utilized to measure the near wake turbulence downstream of the turret model at the Israeli Air Force's (IAF) wind tunnel facility. The near wake flow dynamics were characterized using the mean and turbulent flow properties as functions of the various flow control devices. In addition, the flow patterns formed at the wake were analyzed using proper orthogonal decomposition (POD). Finally, the ‘drag penalty’ associated with the passive flow control devices was estimated from the momentum deficit and Reynolds normal stresses measured in the near wake region.
Section snippets
Open-loop wind tunnel and turret model
Experiments were performed in the IAF's open-circuit low speed wind tunnel. The facility has a rectangular test section long, wide and high, preceded by a 9:1 contraction. The test section walls are made of transparent Plexiglass to allow optical access.
We used the wind tunnel to study a finite-length cylindrical turret model, with geometrical properties similar to typical turrets installed on UAVs [7], [44]. The test model consisted of a hemispherical dome on a cylindrical
Results
The flow around the turret's cylinder base is presumably governed by multiple transition states, as reported by Zdravkovich [50] for circular cylinders. Typical transition states can occur in the wake, free shear layers, around the separation point and in the wall-mounted boundary layer, where each transition state can be subdivided into several flow regimes. The limits of these flow regimes are dependent on the Reynolds number and are highly sensitive to the cylinder's surface roughness [50],
Conclusions
In the present study we investigated the utilization of passive flow control elements to modulate the unsteady wake of a low aspect ratio (AR = 1.36) cylindrical turret in subsonic flow. The experiments were performed in a low-speed wind tunnel at a Reynolds number of . Three passive flow control elements were examined: a roughness strip, a zigzag strip and a straight edge protuberance (bump) strip all placed along the cylindrical base of the turret, at an angle of to the incoming
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
The authors would like to thank Séverine Dubroecq from TSI Inc. for supplying the PIV system utilized for the flow field measurements in the IAF's wind tunnel. Special thanks to Alexi Bikbulatov and Jonathan Burgheimer for their assistant in coordinating the experiments. Many thanks to Itzik Mizrahi, Ilya Kislitsin and Dr. Yair Mor-Yossef for their valuable professional assistance in the numerical simulations.
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