Velocity measurements on a retreating blade in dynamic stall
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1 Experiments in Fluids manuscript No. (will be inserted by the editor) Velocity measurements on a retreating blade in dynamic stall Vrishank Raghav Narayanan Komerath Received: 5 September 2013/Revised: 2 December 2013/Accepted: 11 January 2014 Abstract The velocity field over a moderately low aspect ratio retreating rotor blade is investigated using particle image velocimetry (PIV) as the 2-bladed teetering rotor with cyclic pitch operates in a low speed wind tunnel. The phase-averaged velocity field shows that the stall vortex circulation is comparable to the section dynamic lift, confirming it as a dynamic stall vortex (DSV). Strong tip vortex effects suppress stall at outboard locations. The DSV on the rotating blade after liftoff, is elongated and remains in close proximity to the blade surface in contrast to classical two-dimensional DSV on non-rotating blades. The phase-averaged DSV is roughly 40% weaker and spatially diffused than those observed in individual instantaneous velocity fields. Span-wise variations of the vortex are also discussed. Cycleto-cycle variations of the instantaneous velocity fields suggest a radial flow induced stabilization in the strength, but not in the spatial location of the DSV. Keywords Dynamic stall Rotating blade Helicopter PIV Nomenclature Γ Circulation, m 2 /s Γ 1 Scalar function µ Advance ratio ν Kinematic viscosity of air, m 2 /s Ω Angular velocity of rotor, rad/s ω Vorticity, 1/s ψ b Rotor azimuth angle, deg Blade span, m Vrishank Raghav Narayanan Komerath School of Aerospace Engineering, Georgia Institute of Technology, 270 Ferst Drive, Atlanta, GA 30332, USA vrishank@gatech.edu komerath@gatech.edu
2 c C L k R r Re U U e U T Blade chord, m Coefficient of lift Reduced frequency Radius of the rotor disc, m Radial location, m Reynolds number based on chord length Freestream velocity, m/s Effective freestream velocity, m/s Tip speed of the rotating blade, m/s 1 Introduction Dynamic stall (DS) occurs on lifting surfaces as angle of attack rises rapidly beyond the static stall angle McCroskey et al (1976); Carr et al (1977). Dynamic stall is accompanied by large excursions in lift and pitching moment, caused by the formation and convection of the dynamic stall vortex (DSV). Although DS has been studied extensively, predicting the phase of a DS event and flow s subsequent reattachment on a rotating blade remains elusive. Most experimental investigations of dynamic stall have been limited to two-dimensional flows over oscillating airfoils in wind and water tunnels McCroskey et al (1976); Carr et al (1977); McCroskey et al (1981); Carr (1988) and on oscillating finite wings Mc- Croskey et al (1982); Lorber (1992); Carta (1985). Computational fluid dynamics (CFD) investigations have progressed from inviscid formulations to full Navier-Stokes simulations Koga and Eaton (1989); Spentzos et al (2005); Larsen et al (2007). However, the occurrence of dynamic stall is influenced by three-dimensional effects such as viscous interactions associated with rotational augmentation, as well as inviscid ones like finite wing and local yaw effects. Reactive centrifugal effects are expected to drive a strong radial flow and the coupled effects of the centrifugal and Coriolis forces in the rotating environment add more complexity to the flow characteristics. Flow field details of dynamic stall on rotating blades have been investigated experimentally in the past by Fujisawa and Shibuya (2001); Ferreira et al (2009). These experiments were conducted on rotating blades set up to operate as vertical axis wind turbines, in which case the effects of reactive centrifugal forces are fundamentally different from that on rotating helicopter rotor blades. Recently, rotating helicopter rotor blades have been used to experimentally study flow field details of dynamic stall DiOttavio et al (2008); Mulleners et al (2012); Raghav and Komerath (2013a), followed closely by numerical investigations on rotating configurations Raghav et al (2010); Gross et al (2010). DiOttavio et al. and Raghav both studied the characteristics of the radial flow on a dynamically stalled rotor blade. Mulleners et al. 2
3 conducted experiments on a model scale fully equipped helicopter model. They observed only small cycle-to-cycle variations of the DSV, and hypothesized that the radial forcing due to rotation effects was stabilizing the DSV. In addition, Mulleners s results corroborated the analysis by Raghav and Komerath (2013a) which established that the radial flow on a rotating blade under dynamic stall conditions attenuated upon moving outboard. The physical mechanism for this phenomenon was ascertained to be an apparent shear layer instability of the radial flow. Recent work also done by Raghav and Komerath (2013b) demonstrated that the instability is a fundamental behavior of the radial flow over a rotating surface with a superimposed uniform stream. However, the effect of radial flow on the dynamic stall event and the DSV itself still remains unexplored. In addition, the cycle-to-cycle variations of the DS event on a rotating blade are important for predicting the lift overshoot and the associated pitching moment. The present investigation is an extension of DiOttavio et al (2008); Raghav and Komerath (2013a), where the physics of the radial flow over a stalled retreating blade was investigated in addition to the general chordwise flow characteristics. In this work experiments are conducted on the retreating part (ψ = 270 ) of the rotating blade in forward flight in a low speed wind tunnel using two-dimensional PIV. It is recognized that the flow field at ψ = 270 is one time instant of the life cycle of the DS event. However, the choice of ψ = 270 decouples the effect of yaw induced span-wise flow from the centrifugally induced span-wise (radial) flow. Hence this enables a systematic study of the effect of pure radial flow due to reactive centrifugal forces. The main objective here is to identify and characterize the large-scale coherent vortical structure on the rotating blade in dynamic stall conditions. Vortex detection techniques are employed to ascertain the existence of a coherent vortical structure on the upper surface of the blade. Circulation computations over the flow field are used to classify the vortical structure as the DSV. The observed characteristics of the DSV and it s span-wise variation are discussed in addition to cycle-to-cycle variations of the DS event. 2 Experimental methods 2.1 Experimental setup and flow conditions The experiments were conducted in the high advance ratio facility (see Fig. 1(a)) fabricated in the test section of the John Harper 2.13m 2.74m low speed wind tunnel at the Georgia Institute of Technology. The motor was positioned below the rotor with manually adjustable cyclic and collective pitch. In order to simplify the operations a teetering rotor hub design was preferred (please refer to Johnson (2012) for detailed descriptions of a teetering rotor hub). A rectangular, non-tapered blade with zero twist was used in the investigation, further details of the rotor specifications are provided in Table 1. In addition, a 3
4 photo-micro sensor was installed on the rotor shaft to enable phase locked data measurement. The closed circuit wind tunnel was powered by a three-phase 600 hp induction motor controlled by a water cooled eddy current clutch. The freestream longitudinal turbulence intensity at the entrance of the test section of the wind tunnel is 0.3 %, measured at a freestream velocity of m/s. The turbulence intensity reported here was computed from velocity fluctuation measurement conditioned with a 3 Hz high pass filter and 2.5 khz low pass filter. Description Value Rotor blade airfoil section NACA0013 Blade span m Blade chord m Blade aspect ratio 3.49 Disc radius m Solidity Height m Precone 1.6 Maximum collective 10 Maximum cyclic 6.5 Maximum TPP tilt 16 Motor power 3.73 kw Table 1 High advance ratio facility rotor specifications Given the objectives and motivation of capturing and studying the stall vortex on the retreating rotor blade, a rotor rotation rate of 200 RPM (Ω = rad/s, U T = m/s) and a free stream velocity of U = 6.1 m/s were chosen. The operating advance ratio was µ = U ΩR = 0.33, which is sufficient to induce dynamic stall as demonstrated by DiOttavio et al (2008) using flow visualization. By trial and error DiOttavio determined the collective and cyclic pitch needed to induce dynamic stall on the retreating blade at ψ = 270 (see Fig. 1(b) for definition of ψ). A collective pitch of 10 and a cyclic of 5 were used to create a 15 pitch on the retreating blade at ψ = 270. However, due to flapping of the blade, the effective angle of attack observed on the retreating blade at ψ = 270 was The chordwise velocity measurements were made at eleven locations in the range r/r with spatial resolution increasing towards the tip, as shown in Fig. 1(c). Each measurement radial location is listed in Table 2 with its associated reduced frequency (k = Ωc 2U e ) and Reynolds number based on chord length (Re = U ec ν ), where U e ψ=270 = U T r R U. 2.2 PIV instrumentation PIV was used to measure the velocity fields over the retreating rotor blade at ψ = 270. The illumination was provided by a double-cavity Nd:YAG laser with a pulse energy of 200 mj. The resulting beam 4
5 (a) View of the experimental setup from downstream of the wind tunnel test section (b) Top view of the rotor setup illustrating the azimuthal angles (c) PIV interrogation windows over the radius of the blade Fig. 1 High advance ratio facility - configured for chordwise flow experiments diameter was about 2 mm with a pulse width of 5ns. A laser arm (a covered beam path) was used to deliver the laser beam to the measurement plane. Sheet optics were used at the end of the laser arm to generate a light sheet of 2 mm thickness. The flow was continuously seeded with approximately 10µm droplets generated by a Laskin-nozzle type indigenous aerosol generator. 5
6 r/r U e (m/s) k Re , , , , , , , , , , ,079 Table 2 Radial locations where PIV measurements were made at ψ = 270 McAlister et al (1982) showed that fifty cycles yielded converged statistics in the case of force measurements during dynamic stall. Here, a series of 100 image pairs were acquired at each measurement plane using PRO-X 2M camera which has a pixel resolution and a pixel size of µm 2. The particle size in the camera image ranged from 1.47 pixels to 2.52 pixels. The focal length of the lens system was 50 mm and the aperture on the camera was set at f/4. In order to improve the signal to noise ratio of the PIV data, the blade was coated with Rhodamine paint and a bandpass filter (532nm ±10nm) was used on the camera to minimize laser reflections from the upper surface of the blade. In addition, the unavoidable laser reflections were masked during the velocity vector computations. DaVis 7.2 software provided by LaVision was used to process the PIV data, the velocities were calculated from the spatial cross-correlation of the images. An interrogation window overlap of 50% and a second interrogation pass with a reduced window size was used to increase the signal-to-noise ratio of the correlation peak. The first pass utilized an interrogation window of pixels while pixel window was used on the second pass. This yielded a velocity vector resolution of 1.8mm 2.1 mm 0.01c 0.012c. Post-processing of the vector images consisted of an applied vector range and a median filter. As erroneous vectors appeared at the edges of the camera viewing window, these processes greatly reduced this noise. 2.3 Accuracy estimates The uncertainty in flow conditions resulted in a Reynolds number uncertainty of ± 468. The uncertainty in collective pitch and cyclic pitch angle settings, which were measured using a digital protractor, is ±0.05. The error in measurement of the angle of the tip path plane arises mainly due to the pixel size in image processing, and the uncertainty is The uncertainty in phase locking also estimated by image processing was ±
7 The uncertainty in velocity measurements is computed using methods described in Raffel et al (1998, 2004). Bias error was determined by plotting the probability density histograms of the instantaneous velocity data. With a resolution of m/s the histograms did not reveal any peak-locking or any other experimental artifact. The lag error was estimated by considering the relaxation time of the seed particles (10µm) to changes in velocity. The characteristic time was defined as the time available for seed particle to respond to rapid changes in the flow, which was determined from the vorticity contours. A comparison showed that the characteristic time was 5 10 times greater than the relaxation time, indicating that the particle lag error was insignificant. Random error was computed by using Eq. 1, where σ e is the random error, d p is the particle image diameter and c c is an empirical constant that usually lies between 0.05 and σ e = c c d p (1) Thus for this experiment the random error ranged from pixels in the best case ( pixels) to in the worst case ( pixels). The total measurement error, ε m, was quantified with Eq. 2 from Raffel et al (2004), where W p is the maximum out-of plane component of flow velocity, U p is the maximum in plane component of flow velocity, Z s is the light sheet thickness, M is the magnification, and σ i is the random measurement error in the image plane. ε m W p U p 3 Z s M σ i (2) W p was measured in the radial plane and was found to be 3.5 m/s, U p was measured to be 10.2 m/s, Z s was maintained around 2 mm, M of the camera was σ i amounted to σ e ranging between and Using these relations the total measurement error ε m was estimated between 0.45% and 1.56%. This amounted to an absolute error of m/s and m/s based on U p. Uncertainties in the velocity measurements are summarized in Table 3. Type Error Random Error pixels Bias Error m/s Lag Error Insignificant Total Measurement Error 0.45% 1.56% Table 3 Summary of uncertainty estimates 7
8 3 Results and discussions 3.1 Phase-averaged analysis The following analysis of the flow is performed assuming the existence of a dominant phase locked average flow field. In all of the PIV vector fields presented in this work, the axes of the camera images are fixed in the wind tunnel coordinate system and have not been corrected for the pitch angle of the blade. However, the origin (0,0) is the location of the leading edge in all of the vector fields. All of the dimensions are normalized by chord length, where x/c = 0 is the leading edge and x/c = -1 is the trailing edge of the blade. As mentioned earlier the experiments were performed only at ψ = 270 because this azimuthal angle enables the decoupling of the effect of yaw induced span-wise flow from the centrifugal forces induced span-wise (radial) flow. Hence, a systematic study on the effect of pure radial flow (due to centrifugal forces) on the DS event can be conducted. Again, the main aim of these experiments was to capture the dynamic stall vortex, study it s variation across the span and it s cycle-to-cycle variations at ψ = Identification of the vortex The phase-averaged velocity field shows evidence of a large coherent vortical structure only at inboard locations r/r at ψ = 270. In order to observe the vortical structure the free stream velocity (U = 6.1 m/s) had to be subtracted from the phase-averaged velocity field. This can be observed very clearly from the velocity field measured at ψ = 270 and r/r = and depicted in Fig. 2. On moving outboard (r/r > 0.8) the phase-averaged velocity field showed no indication of a vortical structure due to the strong tip vortex effect. Figure 2c illustrates the velocity field at r/r = where the effect of the tip vortex on the flow field can be clearly observed with all the velocity vectors predominantly having a downward flow component. In addition, the vorticity in the background is non-existent indicating a predominantly attached flow. In order to effectively characterize the vortical structure a vortex detection technique via metrics such as Γ 1 (also called Normalized Angular Momentum (NAM)) proposed by Graftieaux et al (2001) was used. Γ 1 is defined as: Γ 1 (P) = 1 N S (PM U M ) z PM U M (3) where N is the number of points in the two-dimensional neighborhood of S of any given point P in the measurement plane. M lies in S and z is the unit vector normal to the measurement plane. The parameter N plays the role of a spatial filter, but affects the location of maximum Γ 1 weakly. 8
9 Fig. 2 Velocity field overlaid on iso-vorticity contours at three different radial locations: a) r/r = 0.514, b) r/r = 0.743, and c) r/r = Gradient based vortex detection techniques (see Cucitore et al (1999) for a comprehensive review) are typically susceptible to experimental noise. However, the scalar function Γ 1 (unlike Q, λ 2, ω, etc.) does not require the evaluation of gradients and is hence less susceptible to experimental noise. The nondimensional scalar function ( Γ 1 1) is capable of characterizing the location of the center of large-scale vortical structures by considering only the topology of the velocity field. It is specifically designed to identify a large scale vortex superposed on a small-scale turbulent velocity field. Although this definition 9
10 of Γ 1 is not Galilean invariant, it provides a simple and robust way to identify the locations of centers of vortical structures. A value of N = 2 yielded appropriate results with sufficient detail to discern the vortex. The vortex can be clearly observed in the normalized angular momentum of the phase-averaged velocity fields shown in Fig. 3. On moving outboard the location of the center of the vortex is moving towards the trailing edge, confirming the observations from the velocity fields. At slightly further outboard locations (not shown here) there is no evidence of the vortical structure. This indicates a strong dependence of the DS event on the azimuth angle of the blade. At far outboard locations (close to the tip of the blade) the significant effect of the tip vortex (see Fig. 2) greatly modifies the chordwise flow, suppressing the vortical structure Classification of the vortex as the DSV The coherent vortical structure identified in the flow field could simply be a regular stall vortex occurring on the retreating blade. Hence, in order to classify the vortical structure as the DSV, circulation of the structure (Γ V ) on the upper surface of the blade was computed. If it is the DSV, it should contain a circulation that is of the order of the circulation equivalent of the lift overshoot (dynamic lift) measured on unsteady airfoils/wings. Figure 4 illustrates dynamic lift component during DS which is primarily due to the circulation of the vortex on the upper surface of the blade. It follows that the sum of the expected bound circulation on the blade section (Γ a ) and circulation of the vortex (Γ V ) is proportional to the total lift on that blade section. And hence the ratio of Γ V to the total circulation around the blade section will indicate the extent of the dynamic nature of the DS event. The bound circulation expected under non dynamic stall conditions on the blade section (Γ a ) was computed using the maximum steady state C L of the blade using the following expression: Γ a = 1 2 cu C L (4) where, c is the chord length, U the freestream velocity and the maximum C L was determined to be 0.9 by measuring the lift curve of the blade in steady state at Re = (please refer to Raghav et al (2014) for details of the lift curve measurement). The authors recognize the fact that the Reynolds number of the steady state C L measurement used for computation of the bound circulation does not match with the Reynolds number range of the rotating blade in these experiments. However, the main goal here is to estimate the expected lift overshoot to demonstrate the occurrence of dynamic stall. For these purposes, a maximum steady state C L at a similar low Reynolds number regime is sufficient. The circulation around a velocity field is defined as the amount of vorticity flux in it. The circulation around the vortical structure was computed by evaluating Stokes theorem numerically: 10
11 Fig. 3 NAM field at three radial locations a) r/r = 0.514, b) r/r = 0.686, and c) r/r = Γ V = S ω ds = ω dxdy (5) S where ω is vorticity and S is a closed surface chosen such that it surrounded the vortical structure observed from the NAM plots. The circulation around the vortex increased on moving outboard, which can be explained by the fact that the effective velocity increases on moving outboard on the rotating blade. Table 4 summarizes the computed values of Γ a and Γ V at several radial locations. The percentage of lift contribution arising 11
12 Fig. 4 Illustration of static and dynamic components of lift on a unsteady airfoil/wing from the vortex was determined to be between 57.5% and 48.3%. Given the high reduced frequency conditions (see Table 2) and a finite low aspect ratio blade, this level of overshoot is expected as observed by McCroskey et al (1976); Carta (1985). The overshoot decreases upon moving outboard indicating a decrease in dynamic lift, which indicates the weakening of the DS event. r/r Γ a (m 2 /s) Γ V (m 2 /s) Γ V Γ a +Γ V % % % % % Table 4 Circulation comparison at various radial location Characteristics of the DSV In two-dimensional studies, the DSV has been observed to form and uniformly arch away from the airfoil surface (see McCroskey et al (1976); Carr et al (1977); Mulleners and Raffel (2012)). However, due to the effect of rotation in this investigation the DSV was observed to be pinned to the surface at all radial locations. In addition, the DSV observed on the rotating blade was noticeably stretched along the chord. These observations are in slight contrast to Mulleners et al (2012) who found that the DSV was flatter only at outboard location (r/r = 0.6) than at midspan. However, their measurements also suggest that the DSV is in close proximity to the blade in contrast to two-dimensional DSV. The core of the vortex 12
13 was observed to have a strong radial flow component as per observations in prior phase-averaged radial flow analysis by Raghav and Komerath (2013a). The strong radial flow that exists on the surface of the blade is expected to sweep the DSV outward and restrain the DSV close to the blade surface. The location of the DSV was determined by computing the coordinates of the maximum NAM at radial locations r/r 0.8. Figure 5 illustrates the variation of the non-dimensional chordwise location of the DSV varying with radial location. The chordwise location x/c = 0 corresponds to leading edge and x/c = -1 corresponds to trailing edge. There was a global shift of the location of the DSV towards the trailing edge on moving outboard which mimics the trend of the separation line observed by Raghav and Komerath (2013a). Between r/r = 0.5 and 0.6 the location of the DSV did not change significantly, which agrees with the limited observations by Mulleners et al (2012) at r/r = 0.5 and 0.6. They attributed the span-wise invariance to stabilization due to radial forcing. However, the results in our investigation indicate that the chordwise location of the DSV displays a random behavior for r/r 0.686, albeit a global shift towards the trailing edge. In other words there is an instance of the location of the DSV at r/r = which does not fit the trend of the monotonous shift of the DSV towards the trailing edge. On moving further outboard (r/r > 0.8) there is no evidence of the vortical structure. Fig. 5 Span-wise variation of chordwise location This span-wise variation of the vortical structure can be justified with the following reasons: a) Dynamic stall on a rotating blade is a three-dimensional event - and the exact timing of the DSV will vary as a function of both radial location and azimuth, b) The dynamic stall event also depends on the Reynolds 13
14 number and reduced frequency of the blade section. While the Reynolds number increases, the reduced frequency of the blade section decreases on moving outboard on the blade, this span-wise variation will also affect the DS event, and c) At most outboard locations the effect of the tip vortex is significant and it interacts with the flow over the upper surface of the blade suppressing the vortex. 3.2 Instantaneous velocity field analysis The analysis of instantaneous velocity fields will provide further insight into the DS event. Due to the rotating environment, the phase of the DS event varies simultaneously with azimuthal angle and radial location. Hence observations at a particular azimuth and radial location is localized to that section and cannot be extrapolated. However, observations at various radial locations at one azimuthal angle could be used to derive conclusions on the span-wise variation at other azimuthal angles. In order to quantify the cycle-to-cycle (CTC) variations of the DSV, the variations induced on the flow field due to other artifacts in the experiment had to be quantified. The phase locking error was quantified and as mentioned earlier the error in position of the blade is approximately ±0.05. Next, the CTC variations in the far field were investigated by computing the standard deviation of the velocity measured at ψ = 270 when the blade was located at ψ = 240. The standard deviation was of the order of m/s (3.2% 5.2% based on U ) which indicated an insignificant amount of CTC variation in the flow field conditions. Next the variation of the tip vortex effect from one cycle to another was quantified, again by computing the standard deviation of the tip vortex induced velocities at r/r = The fluctuations were determined be of the order of m/s (4.4% 10.2% based on U ), again this indicates a low level of tip vortex induced CTC variation. This analysis suggests the far field has very low cycle-to-cycle variations. The above analysis was performed to isolate the CTC variations observed over the surface of the blade from other artifacts of the experiment. Having isolated the other CTC variations, the measured variations should be only due to the dynamic nature of the DS event rather than due to external factors. Earlier it was discussed that the analysis of the phase-averaged velocity fields indicated a coherent DSV. However, the instantaneous velocity fields paint a different picture. The investigation of the instantaneous flow fields at ψ = 270 and r/r = and indicate that the measured/observed coherent structure is a spatially diffused version of an instantaneous rolled up shear layer. At r/r = the shear layer roll up breaks up into secondary vortices due to an instability. Following the nature of the instability, the secondary vortices were observed to be completely random in spatial location. A typical instantaneous shear layer roll up with a shear layer instability causing the secondary vortices over the rotating blade in dynamic stall conditions is shown in Fig. 6a. However, on moving outboard to r/r = 14
15 0.686 the instantaneous velocity fields showed evidence of a single prominent vortical structure as seen in Fig. 6b. As stated earlier, this variation implies that the timing of the DS event varies across the span of the blade. Similar behavior of the shear layer during two-dimensional DS event has been observed at Re = 920,000 at different time instants of the airfoil upstroke (see Fig. 7 adopted from Mulleners and Raffel (2012)). Mulleners s observation clearly indicates that the measurements in our experiments cannot be an artifact of the lower Reynolds number regime. Fig. 6 Zoomed in view of the instantaneous velocity field at a) r/r = showing a shear layer with secondary vortices, and b) r/r = showing a prominent vortex being shed To quantify the CTC variations of the strength of the vortex, circulation around a fixed contour was computed for each instantaneous velocity field at r/r = and The contour was chosen such that it covered the rolled-up shear layer near the leading edge in every instantaneous velocity field. The average of the circulation computed around the vortex on 100 instantaneous velocity fields was determined to be m 2 /s with a standard deviation of m 2 /s at r/r = and m 2 /s with a standard deviation of m 2 /s at r/r = The low value of standard deviation (15%-17% of the mean) suggests that the strength of the vortex is stable from cycle-to-cycle to a certain degree. However, the average circulation obtained from instantaenous velocity fields was substantially higher (34.2%- 44.9%) than the circulation of the vortex obtained from the phase-averaged velocity plots. The first implication is that the lift overshoot during the instantaneous DS event is higher than the overshoot obtained from the phase-averaged data. The second implication is that the location of the vortex is not 15
16 Fig. 7 Shear layer instability of the DSV on a 2D oscillating airfoil at Re = 920,000 from Mulleners and Raffel (2012) stabilized and hence the vortex appears spatially diffused in the phase-averaged analysis. The fact that the spatial location of the vortex is erratic was also confirmed by computing the standard deviation from the phase-averaged data which was at around 32% of the mean value for r/r = In summary, although the radial flow is stabilizing the strength of the vortex to a certain degree, the spatial location of the vortex from cycle-to-cycle is not stabilized. Hence, the consequences are twofold: a) If the strength of the vortex is relatively stable, the lift overshoot from cycle-to-cycle should also be stable and hence easier to predict. b) However, the erratic spatial location of the vortex implies that the associated pitching moment excursion is not stable and presumably harder to predict. 4 Conclusions The characteristics of the unsteady flow field over a retreating rotor blade of low aspect ratio in dynamic stall conditions was investigated using PIV in a low speed wind tunnel. The findings of this investigation are summarized as follows: 1. A large-scale coherent vortical structure was detected in the phase averaged velocity field on the retreating rotor blade at ψ = 270 using normalized angular momentum computations of the flow field. 2. The coherent vortex was classified as the DSV by virtue of the circulation of the vortex which is proportional to the lift overshoot during the DS event. The lift overshoot decreased upon moving outboard, indicating the weakening of the dynamic nature of the DS event. 16
17 3. The phase-averaged DS event was determined to have a strong dependence on radial location with the DSV being observed only at inboard locations r/r The phase-averaged analysis of the DSV on the rotating blade indicated that it was pinned to the surface of the blade and elongated along the chord of the blade at all locations where the vortex was observed. This result is in contrast to two-dimensional observations, where the DSV arches away from the surface of the blade. 5. The instantaneous velocity fields painted a different picture from the phase-averaged velocity fields. The coherent DSV observed in phase-averaged velocity plots were found to be a weaker and spatially diffused version of the instantaneous shear layer roll up. 6. A clear dependence of the DS event on the radial location was observed in several instantaneous velocity fields. At r/r = the rolled up shear layer broke up into secondary vortices while at r/r = the instantaneous shear layer rolled up into a prominent vortical structure. 7. The radial flow appears to relatively stabilize the strength of the vortex from cycle-to-cycle but the vortex location is not stabilized causing the vortex to be spatially diffused and weaker in the phaseaveraged analysis. 8. The main consequences of the above conclusion are that the relative stability in the strength of the vortex makes it easy to predict the cycle-to-cycle variations in the lift overshoot. However, the erratic spatial location of the vortex implies that the associated pitching moment will not be stable from cycle-to-cycle and would be harder to predict. Acknowledgements This work was funded by the Army Research Office (ARO). Grant No. : W911NF The authors would like to thank Dustin Teuscher and Laura Hershberger for help with conducting the experiments. References Carr L (1988) Progress in analysis and prediction of dynamic stall. Journal of aircraft 25(1):6 17 Carr L, McAlister K, McCroskey W (1977) Analysis of the development of dynamic stall based on oscillating airfoil experiments. Technical Note D-8382, NASA Carta F (1985) Dynamic Stall of Swept and Unswept Oscillating Wings. Tech. rep., DTIC Document Cucitore R, Quadrio M, Baron A (1999) On the effectiveness and limitations of local criteria for the identification of a vortex. European Journal of Mechanics-B/Fluids 18(2): DiOttavio J, Watson K, Cormey J, Komerath N, Kondor S (2008) Discrete structures in the radial flow over a rotor blade in dynamic stall. In: Proceedings of the 26th applied aerodynamics conference, AIAA, Honolulu, Hawaii, USA 17
18 Ferreira CS, van Kuik G, van Bussel G, Scarano F (2009) Visualization by piv of dynamic stall on a vertical axis wind turbine. Experiments in Fluids 46(1): Fujisawa N, Shibuya S (2001) Observations of dynamic stall on darrieus wind turbine blades. Journal of Wind Engineering and Industrial Aerodynamics 89(2): Graftieaux L, Michard M, Grosjean N (2001) Combining PIV, POD and vortex identification algorithms for the study of unsteady turbulent swirling flows. Measurement Science and Technology 12(9):1422 Gross A, Fasel H, Friederich T, Kloker M (2010) Numerical Investigation of Rotational Augmentation for S822 Wind Turbine Airfoil. Wind Energy Johnson W (2012) Helicopter theory. Courier Dover Publications Koga D, Eaton J (1989) Active Control of Unsteady and Separated Flow Structures. Tech. rep., DTIC Document Larsen J, Nielsen S, Krenk S (2007) Dynamic Stall Model for Wind Turbine Airfoils. Journal of Fluids and Structures 23(7): Lorber P (1992) Dynamic Stall of Sinusoidally Oscillating Three-Dimensional Swept and Unswept Wings in Compressible Flow. In: AHS, Annual Forum, 48 th, Washington, Proceedings., vol 2, pp McAlister K, Pucci S, McCroskey W, Carr L (1982) An experimental study of dynamic stall on advanced airfoil sections. volume 2. pressure and force data. TM 84245, NASA McCroskey W, Carr L, McAlister K (1976) Dynamic Stall Experiments on Oscillating Airfoils. AIAA Journal 14(1):57 63 McCroskey W, McAlister K, Carr L, Pucci S, Lambert O, Indergrand R, et al (1981) Dynamic Stall on Advanced Airfoil Sections. Journal of the American Helicopter Society 26:40 McCroskey W, McAlister KW, Carr L, Pucci S (1982) An experimental study of dynamic stall on advanced airfoil sections. volume 1. summary of the experiment. TM 84245, NASA Mulleners K, Raffel M (2012) The onset of dynamic stall revisited. Experiments in fluids 52(3): Mulleners K, Kindler K, Raffel M (2012) Dynamic stall on a fully equipped helicopter model. Aerospace Science and Technology 19(1):72 76 Raffel M, Willert CE, Kompenhans J (1998) Particle Image Velocimetry: A Practical Guide. Springer Raffel M, Richard H, Ehrenfried K, Van der Wall B, Burley C, Beaumier P, McAlister K, Pengel K (2004) Recording and Evaluation Methods of PIV Investigations on a Helicopter rotor model. Experiments in fluids 36(1): Raghav V, Komerath N (2013a) An exploration of radial flow on a rotating blade in retreating blade stall. Journal of the American Helicopter Society 58(2):
19 Raghav V, Komerath N (2013b) Instability of the radial flow over a rotating disk in a separated edgewise stream. Physics of Fluids 25(11) Raghav V, Richards P, Komerath N, Smith M (2010) An exploration of the physics of dynamic stall. In: Proceedings of AHS Aeromechanics Specialists Conference, AHS, San Francisco, CA, USA Raghav V, Mayo M, Rafael L, Komerath N (2014) Evidence of vortex-induced lift on a yawed wing in reverse flow. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering (in press) DOI / Spentzos A, Barakos GN, Badcock KJ, Richards BE, Wernert P, Schreck S, Raffel M (2005) Investigation of three-dimensional dynamic stall using computational fluid dynamics. AIAA journal 43(5):
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