Experimental Investigations of the Interaction of Supersonic Wing-Tip Vortices with a Normal Shock by F. Leopold, H. Richard ª, M. Raffel ª, F. Christnacher French-German Research Institute of Saint-Louis (ISL), Saint-Louis, France ª Institute of Aerodynamics and Flow Technology, DLR, Göttingen, Germany E-mail: leopold@isl.tm.fr ABSTRACT The interaction of a concentrated vortex with a shock wave may occur in many instances in the operational environment of supersonic aircraft and missiles. The interaction may be the result of vortices created by the forward components of a supersonic vehicle convecting downstream and interacting, for example, with shock waves present in front of air intakes or other wings. The objective of the present work was to conduct an experimental study simulating the interaction of streamwise wing-tip vortices with normal shock waves in a Mach 3 flow. Therefore, an experimental study was conducted to simulate the interaction of streamwise wing-tip vortices and normal shock waves (fig.1). In this paper two recently developed visualization techniques are shown. The results of the Background Oriented Scattering (BOS), invented at DLR, are compared to the flow-field visualizations, obtained by using the ISL holographic filters. To elucidate the complex flow containing shock waves, backflow and large-scale fluctuations, measurements using a laser Doppler velocimeter (LDV) were carried out (fig.2). 20 15 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 10 Y 5 0 -5 -10 -15 -20 20 Figure 1:. Index gradients visualized by use of holographic filters 30 40 50 X 60 70 80 Figure 2: Velocity vectors after the vortex breakdown in front of the tail wing 1. INTRODUCTION In three-dimensional flows, boundary layer separation leads to the formation of vortical structures (herein called vortices) caused by the rolling-up of the viscous flow sheet, previously confined in a thin layer attached to the wall. The vortices leave this region and perturb the outer non-dissipative flow. Such vortices appear in a large number of circumstances and often play a dominant role in the overall flow properties (Delery, 1994). Especially in supersonic flow, the interaction of the vortices with shock waves could lead to a performance deterioration. In practice, such encounters involve the interaction of three-dimensional curved line vortices with shock fronts. Several experiments indicate that the flow field generated by the shock wave/vortex interaction can result in the destruction of the vortices with a large-scale turbulent structure similar to those observed during low-speed vortex breakdown (Cattafesta & Settles, 1992, Kalkhoran et al., 1996, Kalkhoran et al., 1998). The objective of the present work is to conduct experimental studies simulating the interaction of streamwise wing-tip vortices with normal shock waves at Mach number 3. 2. TEST MODEL AND WIND TUNNEL FACILITY The test model used for this investigation consists of a conical nose, a cylindrical center section (diameter D = 40 mm), a canard wing and a tail wing. The form of the canard wing corresponds to a parallelogram, where each side measures 0.25 D. The height of this wing is 0.5 D and the angle of attack is 20 degrees (fig. 3). The experiments were carried out in the 0.3 m × 0.3 m continuous supersonic wind tunnel at ISL. The model-related Reynolds number ReD is 2.1 × 106; the tunnel free-stream static pressure p is equal to 131 hPa. The test model is mounted on a sting assembly along the wind tunnel center line, as shown in figure 4. Figure 3: Sketch of the test model Figure 4: Test model with naval nozzle for Mach number 3 3. FLOW VISUALIZATION TECHNIQUES 3.1 Background Oriented Scattering (BOS) In contrast to laser speckle velocimetry, where speckle patterns are generated by a double exposure of densely seeded flows in a light sheet in order to determine flow velocity (Raffel et al., 1998), in density speckle photography (Köpf, 1972, Debrus et al., 1972), the generation of laser speckle patterns makes it possible to obtain density gradient information (fig. 4). The density speckle photography relies on an expanded parallel laser beam, crossing an object containing refractive index changes (Wernekink & Merzkirch, 1987). Compared to density speckle photography, the BOS method (Meier, 1999) further simplifies the recording. The speckle pattern, usually generated by an expanded laser beam and ground glass, is replaced by a pattern on a surface in the background of the test volume (fig. 5). This pattern has to have a high spatial frequency that can be imaged with a high contrast. It usually consists of tiny, randomly distributed dots (fig. 6). The recording has to be performed as follows: first a reference image is generated by recording the background pattern observed without any flow before the experiment. Secondly an additional exposure through the flow under investigation (i.e. during the blow down) leads to a displaced image of the background pattern (fig. 7). As shown in figure 8 the resulting images of both exposures can then be evaluated by correlation methods (Raffel et al., 1999, Richard et al., 2000). Without any further effort existing evaluation algorithms, which have been developed and optimized e.g. for particle image velocimetry (or other forms of speckle photography) can then be used to determine speckle displacements (Ronneberger et al., 1998). By means of the BOS technique, the directions and the magnitudes of density gradients can be extracted in the flow region between the canard and the tail wings. Figure 5: Principle of the background-oriented schlieren technique (BOS) background paper with dots patterns light source flow wind tunnel with model camera Figure 6: Optical set-up of the BOS method for wind tunnel tests shock vortex Figure 7a: Recording of the displaced image of the background pattern due to the Mach 3 flow Figure 7b: Reference picture with the pattern in the background Figure 8: Displacement data obtained by the BOS technique. Vectors are proportional to dρ/dx and dρ/dy. Color contours display the magnitude of the displacement Figure 9: Optical set-up of the visualization using a holographic filter 3.2 Visualization using a holographic filter This filter, which was initially developed for edge enhancement in optical image processing, allows the visualization of the index gradients in all directions which are perpendicular to the optical axis (Christnacher, 1992). The principle of the optical system is described in figure 9. In a four-focal system, the g(x, y) function in the output plane is equal to the convolution between the f(x, y) function in the input plane and the impulse response of the filter h(x, y). To visualize the gradients in f(x, y), the impulse response of the filter has to satisfy the following equation for every point in the output plane: g(x,y) = f(x,y)*h(x,y) = ||grad f(x,y)||. Consequently, in order to obtain this function, the filter must have the following impulse response: h( x, y) = ∂ ∂ +i . ∂x ∂y For the optical implementation of this function, several holographic gratings are superposed on the same photosensitive plate. The final image is the vectorial addition of each diffracted image by the different gratings. If each image is correctly shifted and has the corresponding phase, the vectorial addition of all the images will represent the gradients of the input image. A cw laser with 400 mW at 532 nm is used as the light source. The beam is expanded to the desired field size (15 cm in diameter). After passing through the test section, the light is focused by a lens on the holographic filter. Further, the diffracted image is digitized by a single-shot camera. Due to the cw laser illumination, the time of exposure can be chosen with the high-speed camera (Leopold & Christnacher, 1997, Leopold et al., 1998). Two types of camera are used. The FlashCam camera from PCO achieves times of exposure ranging from 1 µs to 40 ms at video rate. The DiCam camera, also from PCO, is an intensified version which allows us to obtain smaller times of exposure from 5 ns to 1 ms at 8 Hz. These delays correspond to a normal laser pulse. Figure 10 shows the untreated image of the flow between the two wings. The time of exposure is 20 ns, when even the turbulent structures of the flow are frozen. The pseudo-color image in figure 11 (the time of exposure is 100 ms) helps to make the distinction between the different density gradients. Figure 10: Visualization of the flow field between the canard and the tail wings with a time of exposure of 20 ns Figure 11: Visualization of the whole flow field (diameter: 20 cm) with a time of exposure of 100 ms Figure 12: Comparison between the BOS method (left) and the visualization using a holographic filter (right). 3.3 Comparison between the two visualization methods Both visualization methods allow the visualization of the norm of the index gradients which are perpendicular to the optical axis (fig. 12). The two techniques show the different characteristics of a flow around a canard-wing configuration, such as shock wave formation, wing tip vortex, boundary layer separation, vortex breakdown and shock/vortex interaction. The big advantage of the BOS method lies in the simple set-up. No lenses are required for the visualization based on this method. Therefore the observed flow field can be very huge (Richard et al, 2000). For the treatment of the pictures obtained, algorithms generally used in the particle image velocimetry (PIV) domain are applied. Therefore, the direction of the density gradients can be extracted, but the spatial resolution is limited by the PIV software. This can be clearly observed in unsteady, small zones with very high turbulent intensities. This is probably the reason why the BOS method underestimates the density gradients in these flow regions. By contrast, holographic filters allow the visualization of density gradient norm without any treatment at every pixel of the CCD camera. Especially at very short times of exposure (10 ns) and due to the high spatial resolution the unsteady behavior of the shock/vortex interaction can be clearly shown by the visualization using holographic filters. Moreover, to show these fluctuations, a dynamic sequence can be easily recorded on video tape. 4. LASER DOPPLER VELOCIMETRY 4.1 Set-up of the laser Doppler velocimeter (LDV) 1.82 1.57 1.35 1.14 0.97 0.81 0.68 0.56 0.47 number density The velocity field between the canard and the tail wings has been measured using a two-component fringe mode laser Doppler velocimeter (LDV). The emission part of the LDV system is essentially composed of a 4-watt argon ion laser, a multicolor beam splitter (“Colorburst” of TSI) with a 40 MHz frequency shift capability. The reception part consists of an F/4 80-200 mm zoom lens, a multimode fiber link and a photo multiplier a DES aerosol with a color separator. For reasons of improved 0.06 signal-to-noise ratio, an off-axis forward-scatter 0.05 LDV arrangement has been chosen. The LDV 0.04 signals are processed by a TSI IFA 750 Digital 0.03 Burst Correlator and analyzed with respect to the 0.02 mean velocity and its variance. For the seeding of 0.01 the flow an aerosol of di-(2-ethyl-hexyl) sebacate (DES) is introduced into the settling chamber of the 0.00 wind tunnel. A typical DES size distribution, droplet size / micron measured at the exit of the Laskin nebulizer (Drew et al. 1978), is shown in figure 13. The mean diameter of this distribution is equal to 0.72 m. Figure 13: Typical aerosol size distribution (Schäfer et al., 2001) 20 15 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 10 Y 5 0 -5 -10 -15 -20 20 30 40 50 X 60 70 80 Figure 14a: Velocity vectors for the plane z = -7.5 mm Figure 14b: Velocity vectors for the plane z = -1 mm 20 20 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 10 Y 5 0 -5 -10 15 5 -10 -15 30 40 50 X 60 70 -20 20 80 Figure 14c: Velocity vectors for the plane z = 0 mm 40 50 X 60 70 80 20 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 10 5 0 -5 -10 -15 15 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 10 5 Y 15 Y 30 Figure 14d: Velocity vectors for the plane z = 1 mm 20 -20 20 0 -5 -15 -20 20 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 10 Y 15 0 -5 -10 -15 30 40 50 X 60 70 80 Figure 14e: Velocity vectors for the plane z = 2.5 mm -20 20 30 40 50 X 60 70 80 Figure 14f: Velocity vectors for the plane z = 7.5 mm 20 20 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 10 Y 5 0 -5 -10 10 5 0 -5 -10 -15 -20 20 10000 9500 9000 8500 8000 7500 7000 6500 6000 5500 5000 4500 4000 3500 3000 2500 2000 1500 1000 500 0 15 Y 15 -15 30 40 50 X 60 70 -20 20 80 30 40 50 X 60 70 80 Figure 15a: Mean velocity contours for the plane z = 2.5 Figure 15b: Contour plot for the Reynolds stress term mm for the plane z = 2.5 mm 20 20 120 115 110 105 100 95 90 85 80 75 70 65 60 55 50 10 Y 5 0 -5 15 5 0 -5 -10 -10 -15 -15 -20 20 30 40 50 X 60 70 80 Figure 15c: Contour plot for the standard deviation of the velocity u’ for the plane z = 2.5 mm 100 95 90 85 80 75 70 65 60 55 50 45 40 35 30 10 Y 15 -20 20 30 40 50 X 60 70 80 Figure 15d: Contour plot for the standard deviation of the velocity v’ for the plane z = 2.5 mm 4.2 Experimental results The LDV velocity measurements were restricted in the longitudinal direction to the zone between the canard and the tail wings and in the normal direction from the wall to the top of the tail wing. The origin of the coordinates x and y is at the top end of the canard wing (fig. 3). The coordinate z is measured from the symmetry plane of the tail wing. Figure 14 shows the results of the LDV measurements presented as velocity vectors for planes at different z positions. These vector plots clearly display the two recirculation bubbles behind the shock/vortex interaction, especially for the plane z = 2.5, where the vortices leave the canard wing. In particular, they provide evidence of the large velocity gradients which are found around the vortex breakdown, as well as at the boundary layer separation in front of the second wing. In addition to the time average flow quantities, information about the velocity fluctuations, in particular about the turbulence intensities and, as an indicator of turbulent energy, the Reynolds stress term, can be extracted from the LDV measurements. The standard deviations for the surface parallel u’ component (x direction) and the surface normal v’ component (y direction) of the velocity are calculated as follows: u' = 1 n ( ui − u ) 2 ∑ n − 1 i =1 v' = 1 n ( vi − v ) 2 ∑ n − 1 i =1 10 10 Y 5 0 10000 9500 9000 8500 8000 7500 7000 6500 6000 5500 5000 4500 4000 3500 3000 2500 2000 1500 1000 500 0 5 Y 650 600 550 500 450 400 350 300 250 200 150 100 50 0 -50 -100 0 -5 -5 -1 0 Z 1 -1 2 Figure 16a: Mean velocity contours for the plane x = 50 mm 0 Z 1 2 Figure 16b: Contour plot for the Reynolds stress term for the plane x = 50 mm 10 10 Y 5 0 120 115 110 105 100 95 90 85 80 75 70 65 60 55 50 45 40 35 30 25 20 5 Y 150 145 140 135 130 125 120 115 110 105 100 95 90 85 80 75 70 65 60 55 50 0 -5 -5 -1 0 Z 1 2 Figure 16c: Contour plot for the standard deviation of the velocity u’ for the plane x = 50 mm -1 0 Z 1 2 Figure 16d: Contour plot for the standard deviation of the velocity v’ for the plane x = 50 mm The Reynolds stress term for the two components u and v is given by the following expression: 1 n R = ∑ (ui vi ) 2 − uv n i =1 The contour plots of figure 15 for the velocity, Reynolds stress term and standard deviations clearly show the high velocity fluctuations in the vicinity of the different shock waves, provoked by the shock/vortex interaction. These high fluctuations suggest, in agreement with the unsteady character shown in the flow visualizations, that the velocities in these regions are measured alternately before and behind the shocks. The intersections (fig. 16), which are perpendicular to those shown before, show the evolution of the velocity and fluctuation distributions after the breakdown of the vortex but in front of the tail wing. It confirms that the velocities in front of the tail wing are negative, which leads to an enormous deterioration in the performance of this wing. The contour plots for the different fluctuations suggest that the flow keeps a nearly axisymmetric structure around the recirculation zone of the collapsed vortices. 5. CONCLUSIONS The experimental study involving the interaction of concentrated streamwise wing-tip vortices and a normal shock front was carried out at Mach 3. Two different visualization techniques (BOS, holographic filter) and LDV measurements indicate a significant change in the structure of the streamwise vortices upon encountering a normal shock wave. The observations reveal that the interaction leads to the formation of an unsteady conical shock wave far upstream from the tail wing as well as a highly turbulent flow downstream. The LDV measurements near the region of the vortex breakdown clearly indicate two cells in the recirculation bubble with high recirculation velocities and large fluctuations. Nevertheless, it could be shown that the time-averaged (in the sense of Reynolds averaging) vortex flow keeps a nearly axisymmetric structure organized around the recirculation zone. This picture of the flow may be a sufficient approximation for most applications where only a prediction of the mean field is required. 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