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Twenty-Third Symposium on Naval Hydrodynamics (2001)
Naval Studies Board (NSB)

Page
493
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Page
493
Front Matter (R1-R19)
Modern Seakeeping Computations for Ships (1-45)
Forces, Moment and Wave Pattern for Naval Combatant in Regular Head Waves (46-65)
New Green-Function Method to Predict Wave-Induced Ship Motions and Loads (66-81)
Validation of Time-Domain Prediction of Motion, Sea Load, and Hull Pressure of a Frigate in Regular Waves (82-97)
Ship Motions and Loads in Large Waves (98-111)
Prediction of Vertical-Plane Wave Loading and Ship Responses in High Seas (112-125)
Basic Studies of Water on Deck (126-142)
Second Order Waves Generated by Ship Motions (143-156)
Prediction of Nonlinear Motions of High-Speed Vessels in Oblique Waves (157-170)
Optimizing Turbulence Generation for Controlling Pressure Recovery in Submarine Launchways (171-180)
Hull Design by CAD/CFD Simulation (181-190)
Steady-State Hydrodynamics of High-Speed Vessels with a Transom Stern (191-205)
Practical CFD Applications to Design of a Wave Cancellation Multihull Ship (206-222)
Simulation of Ship Maneuvers Using Recursive Neural Networks (223-242)
Flow- and Wave-Field Optimization of Surface Combatants Using CFD-Based Optimization Methods (243-261)
Marine Propulsor Noise Investigations in the Hydroacoustic Water Tunnel 'G.T.H.' (262-283)
Propulsor Design Using Clebsch Formulation (284-300)
Unsteady Flow Quantities on Two-Dimensional Foils: Experimental and Numerical Results (301-313)
Hydrofoil Turbulent Boundary Layer Separation at High Reynolds Numbers (314-329)
Pressure Fluctuation on Finite Flat Plate Above Wing in Sinusoidal Gust (330-341)
Control of the Turbulent Wake of an Appended Streamlined Body (342-354)
Investigation of Global and Local Flow Details by a Fully Three-Dimensional Seakeeping Method (355-367)
Prediction of Wave Pressure and Loads on Actual Ships by the Enhanced Unified Theory (368-384)
Frequency Domain Numerical and Experimental Investigation of Forward Speed Radiation by Ships (385-401)
International Collaboration on Benchmark CFD Validation Data for Surface Combatant DTMB Model 5415 (402-422)
Validation of High Reynolds Number, Unsteady Multi-Phase CFD Modeling for Naval Applications (423-440)
Free Surface Viscous Flow Computation Around A Transom Stern Ship by Chimera Overlapping Scheme (441-456)
Anti-Roll Tank Simulations With A Volume of Fluid (VOF) Based Navier-Stokes Solver (457-473)
Validation of Tab Assisted Control Surface Computation (474-484)
Experimental and Numerical Investigation of the Flow Around the Appendices of a Whitbread 60 Sailing Yacht (485-492)
Propeller Wake Analysis by Means of PIV (493-510)
Experimental and Numerical Investigation of the Unsteady Flow Around a Propeller (511-526)
Simulation of Incompressible Viscous Flow Around a Ducted Propeller Using a RANS Equation Solver (527-539)
On Submerged Stagnation Points and Bow Vortices Generation (540-552)
Numerical Prediction of Scale Effects in Ship Stern Flows with Eddy-Viscosity Turbulence Models (553-568)
The Experimental and Numerical Study of Flow Structure and Water Noise Caused by Roughness of a Body (569-578)
Large-Eddy Simulations of Turbulent Wake Flows (579-598)
Instability of Partial Cavitation: A Numerical/Experimental Approach (599-615)
An Unsteady Three-Dimensional Euler Solver Coupled with a Cavitating Propeller Analysis Method (616-638)
On the Flow Structure, Tip Leakage Cavitation Inception and Associated Noise (639-653)
An Experimental Investigation of Cavitation Inception and Development of Partial Sheet Cavaties on Two-Dimensional Hydrofoils (654-669)
Modeling 3D Unsteady Sheet Cavities Using a Coupled UnRANS-BEM code (670-686)
Ship Wake Detectability in the Ocean Turbulent Environment (687-703)
An Experimental and Computational Study of the Effects of Propulsion on the Free-Surface Flow Astern of Model 5415 (704-712)
Breaking Waves in the Ocean and Around Ships (713-745)
Numerical and Experimental Study of the Wave Breaking Generated by a Submerged Hydrofoil (746-761)
The Numerical Simulation of Ship Waves Using Cartesian Grid Methods (762-779)
Radiation Loads on a Cylinder Oscillating in Pycnocline (780-791)
Wave Resistance Computations - A Comparison of Different Approaches (792-804)
Computations of Nonlinear Turbulent Free Surface Flows Using the Parallel Uncle Code (805-819)
Submarine Maneuverability Assessment Using Computational Fluid Dynamic Tools (820-832)
Simulation of UUV Recovery Hydrodynamics (833-847)
Reynolds-Averaged Modeling of High-Froude-Number Free Surface Jets (848-862)
On Roll Hydrodynamics of Cylinders Fitted with Bilge Keels (863-880)
Combining Accuracy and Effciency with Robustness in Ship Stern Flow Computation (882-896)
An Unstructured Multielement Solution Algorithm for Complex Geometry Hydrodynamic Simulations (897-909)
Ship Stern Flow Calculations on Overlapping Composite Grids (910-926)
Study on the Prediction of Flow Characteristics Around a Ship Hull (927-940)
Analysis of Turbulence Free-Surface Flow Around Hulls in Shallow Water Channel by a Level-Set Method (941-956)
A Design Tool for High Speed Ferries Washes (957-967)
Flow Around Ships Sailing in Shallow Water - Experimental and Numerical Results (968-982)
Ship Stability Study in the Coastal Region: New Coastal Wave Model Coupled with a Dynamic Stability Model (983-992)
Waves and Forces Caused by Oscillation of a Floating Body Determined Through a Unified Nonlinear Shallow-Water Theory (993-1005)

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Propeller Wake Analysis by Means of PIV F. Di Felice (Istituto Nazionale per Studi cd Esperienze di Architettura Navale, Italy) G. Romano (Rome University, Italy) M. Elefante (Centro Esperlenze Idrodmamlcne Marrna MlLtare, Italy) ARs7.]RAcr An experimental mve tigation of 6he propeller wake m c cavitation tmmel has been perfommed using Particle Imcge Velocimet y PPV) he hyd odynamic md geomehiccl mve tigation of 6he wake md its evolution hcs been pomted o t he bkde viscous wake, developmg from th blcde surfae bo mdary Icyers, the hailmg vo tex sheets, due to 6he radicl g adient of 6he bo md circulation, ad the velocity fluctuation distributions me identffied md discussed he near wake geomet y is descobed th ough 6he bendmg of the bkde wake sheets, 6he slipsheam conhation md 6he tip vortex trajectory md viscous i te~ations ~ the near field 6he effects of tmbulent dfffusion md isc ms dissipation, which c mse c rapid spaebroadenmg of 6he velocity g cdients m 6he t~ailmg edge wake, me clso examined in 6he far wake th d velopment of the slipsheam instability md 6he brekdown of the hub md tip vortices are outlmed IN7.~0DUCPION he experimentcl inve tigation of the propeller wake holds a impo t mt role for the desigm md 6he pe formance crurlysis of ship propulsion ~ modern desigm, to reduce propeller-mduced hull vibrcti ms, efficiency decay md noise generction, due to cavitation, 6he~e is c contmoous hend towards m increcsed complexity of 6he bkde geometry his compl :xity is primarily due to the low cspect mtio a d to th sk w of marine propellers, which cmse shong thee-dimensiom~l effects 7berefore, 6here is c rising i te~est on detailed data of the velocity flow feld aro md 6he bkdes md in the wake he kmowledge of th velocity field m 6he wake em~bles to check locclly th desigm requi ements For example, this c m be done by comparing the mecsmed bkde section d cg coefficients ad bo md cl coktion wi6h 6hose provided by desigm dish~butions Kobayashi 1982, Koyamc 1986 md Jesmp 1989) Moreover, the kmowledge of 6he position of the t~aili g vo t :x sheets is necessary to evaluate 6he atual wake-induced velocity feld aro md 6he blades md to determme 6he propeller pe fommances Velocity mecsurements are clso c tool for 6he development md the validation of m mericcl codes md flow modeling Mo t cunent m mericcl methods for propeller mvestigations are based on potenticl flow 6heories md simplffied wake models More complex md ref ned m odels of viscous flows Kobayashi 1981, Jessup 1989, Amdt md Mcines 1994), of 6he hub effects V mg 1985), of 6he t~ailing vortex shets md of tip roll-up pmcess are ~equi~ed for inmecsmg 6he a uray of m mericcl p~edictions Measur ments by Lcser Doppler Velocimeby LDV have been c t ming point in the a~ly is of 6he 6 ee-dimensiom~l complex flow aro md rotors md propellers, providmg cmong 6he others, q mtitative i formation on the roll-up process, 6he slip tream conhation md 6he tip vertex evolution Mm 1978, Kobayashi 1982, Cenedese et cl 1985, Jessup 1989, he :mck md Jes mp 1998) LDV hcs th cactility of velocity di~ection recogmition, high spaticl resolution, good fi equency resp mse md of c non inh usive probe However, most of 6he p~evious LDV crurlyses me focused on cross-sections of 6he wake md c f w examples are avaibble concernmg 6he evolution of 6he wake dow sheam of 6he slipsheam conhation (Stelk et cl 1998) 7his is mcinly due to the fat th~t 6he LDV techmique cllows m efhcient d~tc aquisition et c pomt m time (dffferent propeller ~evolution agles) mdhence a ecsyrecomtruction ofthefl w feld in c cross-secti m, while the longit dim~l survey ~equi es c time consuming weep over m my points In 6he p~esent study, the a~lysis of the propeller wake is pe fommed by usmg the 2D Particle Imcge Velocimeby techmique PP , which cllows c p we ful mvestigation of 6he radLcl md axicl velocity components in the lo git dim~l pkme PIV mecsurements, es p~eviously done by Cotroni et cl

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(1999), are taken in phase with the blade angular positions in order to resolve the evolution of the wake during the propeller revolution. Wake characteristics and tip vortex spatial fluctuations, leading to the breakdown farther downstream, are pointed out considering three adjacent windows starting from the blade trailing edge to about 1.5 propeller diameters downstream. The propeller used in the present experiment is the same investigated by Cenedese et al. (1985) and by Stella et al. (1998)0 Although some wake detail is strictly dependent on both propeller geometry and loading conditions, the results of this investigation will be discussed with emphasis on those flow features of a general content. EXPERIMENTAL SET-UP The present PIV measurements were performed at the Italian Navy Cavitation Tunnel (C.E.I.M.M.~. The test section is a square, closed jet type (0.6mxO.6mx2.6m). Perspex windows on the four walls enable the 90° optical access required for PIV. The nozzle contraction ratio is 5.96 and the maximum water speed is 12 m/s. The maximum free stream turbulence intensity in the test section is 2% in the regions behind the wake of the shaft supports, while it reduces to 0.6 % in the propeller blade inflow at a radial position equal to 0.7 R (R being the propeller radius). The flow uniformity of the axial and the vertical components is within 1%. The sketch of the instrumentation set-up is shown in figure 1. The propeller model is mounted on a front dynamometer shaft. This arrangement of the propeller and the length of the test section, which is about 15 | Tunnel cohere l Free stream velocity |~r~oo1~| Propeller | — |] r.p.m I Test section C: | Ends l _4 | Synchronizer ~ , ~ Crosscorrelat ion l Camer a ' [~ Laser sheet Fl ow di r ect i on ~ ~7 ,~,~,~,2,'~,~,~'H~'e,''~,'''~,~,~'L,'''~,,,e,r,~,~,~'''''' ~'~'~'~'~ , ~ Set laser parameters ~`me I | Or Cuber | Figure 1: Experimental set-up times the propeller diameter, allows the slipstream to develop freely in the downstream direction as in a real operative condition. An encoder, with a resolution of 0.1 °, mounted on the dynamometer shaft, feeds a special signal processor which sends a trigger signal to a special synchronizing device for each propeller angular position. The synchronizer provides a TTL trigger signal to a cross-correlation camera (1018x1018 pixel), and to a double cavity Nd-Yag laser (200 mJ per pulse at 12.5 Hz), to allow image acquisitions for each propeller angular position. The digital cross-correlation video camera, allows the recordings of two separate images (one for each laser pulse) within a few microseconds at a maximum frame rate of 15 Hz. By using cross-correlation, the directional ambiguity is completely removed. The instantaneous velocity fields were acquired from a distance up to 700 mm from the side window, using a 60 mm lens with 2.8 f-number and imaging an area of about 100 x 100 mm2. The tracer particles are one of the critical aspects of the PIV technique, especially in case of large facilities. Being the technique based on the measurement of the particle displacement, it is fundamental that the seeding accurately follows the water flow velocity (Hunter and Nichols 1985, Melting 1986, Mayers 19914. This requires particles having a diameter on the order of some ~m. At the same time, it is mandatory to achieve a high uniform seeding density in the region of interest, at least 15 particle pairs per interrogation window (Keane and Adrian 1990), in order to accurately perform auto/cross correlation analysis. To this purpose, the water in the tunnel was initially filtered, and then seeded with 10 lam silver coated hollow glass spherical particles with high diffraction index and density of it / ~~ 1 ~ : I'm 1 Figure 2: Tested propeller model. ~~ ~~-~

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about 2 g/mm3 The four blade propeller model (figure 2) is skewed, with a uniform pitch (pitch/diameter = 1.1) a forward rake angle of 4° 3" and a diameter of 227.2 mm. PIV measurements were carried out with a propeller angular velocity n=25 rps and an upstream water speed Uinf=4.25 m/s, corresponding to an advance ratio J= Uinf /(nD) of 0.748, in moderately high loading condition. In such conditions, the propeller shows tip vortex hub cavitation which was maintained outside of the measurement windows to avoid camera blooming. The blade Reynolds number Rn=(C0.7Vo.74/v' where c0.7 and V0.7 are respectively the chord length and the velocity at r/R=0.7, was equal to 1.12 106. The cavitation number ov=(P-pv)/q' being P the absolute ambient pressure, Pv the vapour pressure and q the stagnation pressure of the propeller upstream flow, was 9.3. The PIV system was arranged to measure, in the mid longitudinal plane of the propeller, the axial and vertical velocity components simultaneously in the tunnel frame. In view of the symmetry of the propeller inflow and of the steady conditions, when the light is located on the vertical radius (along the z-axis), the axial component of the velocity and the vertical one correspond respectively to the axial and the radial components in the propeller moving frame. To investigate the propeller wake at least 1 diameter farther downstream of the stream tube contraction, the measurements have been performed over 3 adjacent windows by traversing the camera (with an accuracy of about 0.1 mm) as shown in figure 3. The initial reference position is fixed with an accuracy of about 0.5 mm by imaging a special target device. Trajectory of vortices '~ ~~ ' _ 5{ Axis of the L .^roneller shaft I ~ 1 1 ~ . , ~ 7- Light sheet plane Flow direction ~Tip- `3 \ Vortices ~ sections ~ Investigation Camera windows Figure 3: Measurement planes IMAGE ANALYSIS The acquired images were analysed using an algorithm in which the window off-set correlation method has been implemented (Westerweel 19974. Furthermore a recursive processing method is used by implementing a hierarchical approach in which the sampling grid is continually refined and also the size of the interrogation windows is reduced during the iterations. In Figure 4 the iterative process starting from windows of 128 px2 to the final one 16 px2 is presented. In the last iteration the windows are also overlapped to obtain a better reconstruction of the whole flow field especially in the regions with strong gradients. This procedure has the added capability of applying interrogation windows with size smaller than the particle image displacement increasing both the dynamic range and the spatial resolution of the measurement technique. The effectiveness of this recursive algorithm, allows the analysis using sub-windows up to 16 px2, with a limited number of spurious determinations (less than 7% of the total number using sub windows of 16X16 pixel). To eliminate the remaining spurious vectors, always present and due to the lack of particles in the interrogation windows or noise in the background of the images, each data set is subjected to a validation procedure to detect and replace spurious displacement vectors. Four different kinds of validation techniques have been implemented: a local median-filtering method, to identify displacement vectors that deviate by a prescribed amount in magnitude or direction, from adjacent vectors (Westerweel 19944; a cross-correlation Signal to Noise Ratio (SNR) validation, where the highest correlation peak is compared with the second one, and validated if the ratio is greater than a predefined value d= 1.2 (Keane and Adrian 1992) or even lower according to the seeding density; a displacement range validation, which rejects vectors outside a certain velocity range; a geometric validation, which rejects vectors within a certain predefined area, useful when solid surfaces are within the area of investigation. Different flags are associated with the spurious vectors from each one of the previous four different types of validation. Therefore, in the following statistical analysis the rejection criterion can be selected as a combination of some as well as all of them for filtering the data to be used for statistics computation.

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I 28 Fx~ 1~ lterstloc 64 ~x~ 2~ lter~loc 16 ~x~ 500/o overlap last lter~loc Figur e 4: Multig id 6 drpti s wmdow offYst ccrrektion method di pl6 sment sctor f eld 6t dffferent Iteratmn teps For 6he res 4t presented m 6he followmg 6 fincl window siv4 of 24 px~ has ben 6dopted 6s the best compromise of spurious sctor reduction 6md spati61 resolution that in the prese t case is equivalent to 2 4X2 4 mm For 6 gi sn propeller 6mgle. 65 p6 irs of im rge h6 4 been 6 qmired to eval rte statistic61 q mtities A gles from 0° to 85° h6 s been consideled with 6 step of 5° for 6 total 6mo mt of 6bout 4000 prirs of images for th considered wmdows Sbtistic evaluation has been pe formed considering only slocity sctors thrt f if ii simultarr40usly 611 the filter 6bo s pecffied MEASUREMENT UNCERTAINTY th 6 cur6 y of 6he PIV techmique is out of the go61 of 6he present work 6md this 6 spect is 6 compl :x topic wi6h mamy op n points A debiled 6rmlysis of 6his 6 pect cam be fo md m Rrffel et 61 (1997) in 6he following, th mam 6sressments r~scess6 y to qualffy 6he present results 6 e leported The uncertainty on docity measurements by meams of 6 PIV system is mamly due to th error on p6 ticle di pl6 ments evaluation which cam be consideled less thm 1/106 of 6 pi el for the plesent imag arulysis61goribm Intemmsof slocityism6he order of I m/s Perk lockmg enors, mainly due to p6 ticle image siYs, has been Iv5duced, 6s much 64 possible, by using im rge defccusmg techmiques E rcrs due to noiYs were impo tamt only m flow egiom where light reflecti ms fi om the c6 ibtmg hub or fiom the bkde smf6 e wsre plesent E sn if enor~sous w~ctors 6 e elimim~ted 6md repkced by mte polrti m durmg po t-processing, sometimes spurious w~ctors 6re validated 6md sifect 6he stati tics This effect is relevamt especi611y for the second order statistics

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The accuracy of the statistical estimations definitely depends on the number of acquired samples and on the shape of the velocity probability distribution function. The probability density function in the tip vortex core and in the blade wake markedly differs from the Gaussian. Furthermore, a lack of data and less samples available for statistics have been observed in these regions. In figure 5 the total number of samples used for statistical computations is plotted at a given angle for the first measurement window PIV provides an explanation for this phenomenon: the strong centrifugal forces in the vortex core reduce dramatically the probability to have useful particles required for the measurement as can be seen in figure 6 where a single PIV image is shown. The tip vortex location can be easily identified as a black hole in the image of about 40 px in diameter. This problem has been noticed also for LDV measurements and the same explanation, as before, is suggested. However, only PIV provides a direct justification of such a problem. In the same figure, the dimension of the interrogation window used for the analysis is shown. The first outcome of such aspect is that the tip vortex velocities are underestimate. By using the t-Student distribution (for which the confidence interval is +1.96:krms /~(N-1), with N=65), it is possible to estimate the uncertainty on a velocity component to be about 1/4th of the measured rms and hence equal to 0.025 m/s (at the measurement points far from the tip vortex and the blade wake). ~ I: ~ ~ 7~5 17 Figure S~ San~'le:s distribution. 0=~;3 · 60 556 ~ _7 ~ sO In the tip vortex core and near to the blade (where the highest velocity gradient are encountered), only a few data are available to compute statistics which result in low accuracy estimation especially for the second order statistics PROPELLER WAKE ANALYSIS An example of an instantaneous flow field obtained in the first measurement window for a revolution angle O=0° is shown in figure 7. For graphical reasons the vectors have been skipped of a factor two and the upstream velocity has been subtracted in order to point out the flow perturbation induced by the propeller. Two tip vortices due to the actual blade and to the previous one, as well as the wake released by the blade, are recognised. The strong flow acceleration near the hub due to the presence of the hub vortex is also observed. The mean velocity obtained over 65 image pairs for the same angle shows similar features, thus indicating that the flow field is dominated by the propeller revolution. In figure 8 the whole measured flow field is given. Due to graphical reasons, the contour plots for the U and V components, non- dimensional by the upstream velocity Uinf are shown in a mirrored layout. In the diagram the error, due to the camera positioning in the overlapping region of the three measurement windows near the hub, can be also Figure 6: PIV single exposure image. The tip vortex location is identified due to the lack of particles in the vortex core which is compared with the interrogation window

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-0 .2 -0 .3 -0 .4 -0 .5 =" -0 .6 -0 .7 -0 .8 -O .9 noticed. _____ ~_-——~ ~ \ ~ are_ I, A; V ^~./ /, ..... or-- I - - I- I ' 'bit' \ ' t \\''`\~' ~ ~ ~ I, \ ' 0.25 0.5 0.75 1 x/R Figure 7: Instantaneous perturbation velocity field of the propeller (upstream velocity Uinfremoved).for O=0 The traces of six tip vortices are evident in the measurement plane. The tip vortex velocity iso- countours show a typical Rankine vortex pattern: the U distribution is similar to the V distribution after rotation by 90°. The viscous wake due to the boundary layer on the blade is represented by a defect in the velocity. The velocity defect is strong at the trailing edge of the blade and is rapidly smoothed and faded downstream. As shown by Stella et al. (1998), the velocity defect is stronger at the blade root due to the larger thickness of the blade profile near the hub. The blade wake almost disappears within one diameter downstream, whereas a strong deformation, due to the higher axial velocity at the inner radius bends the blade wake. The strong acceleration of the radial velocity component near the hub reveals the strong roll up process of the hub vortex (which is cavitating just outside the measurement area). It also contributes to the wake deformation convecting downstream the flow field. This type of information is also evident in figure 9 where the modulus of the in plane velocity ((U2+V24~/2/Uinf), and the streamlines are shown. The strong deformation of the streamlines due to the effect of the tip vortices and the hub vortex is highlighted. In figure 10, the vorticity generated by the propeller, non-dimensional by the upstream velocity and the propeller diameter, is given. In such a figure the streamlines obtained by subtracting the upstream velocity are also shown: they highlight the effect of the tip vortex roll-up. In figure 11, the evolution of the vorticity field for the revolution angles 20°, 40°, 60° and 80° are shown. The following considerations can be done: The trailing vorticity, shed from the blade trailing edges consists of two layers of opposite sign which remain distinct in the wake. This is mainly due to the presence of the blade boundary layer which separately generates the two sheets. The blade wake continuously spirals around the vortex core which enlarges downstream

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- The tip vo tex vorticity dfff sion is why strong up to x/R=1 es also shown in figure 12, where She me m vorticity of the tip vo tex is plotted along She dosst~recm distance Such remit is similar to those obtained by Jessup (1989) for the mskew d propeller 411 9 - As soon es the blade wake is released md before it is dissipated, c shong deformation takes place At Croat x/R=1 the wake of the actual bade feels She action of She tip vo tex of the previous one which starts to defomm the wake At x/R=1 5 She wake of the actua I blade interacts wish th tip Fort :x of She previous one For x/R > 2 the wake of th actual blade looses the Imk wish its tip vort:x md is rolled up by She previous bade tip vortex Figure 13 shows She di tribution of the turbulence mtemity au md c. for th measured velocity components for q=0°, while figure 14 shows th evolution of av for O=20°,40°,60°,80° Even if She confidence of She statistical e timator is limited, due to th fact that has been evaluated only own 65 samples, some importmt features of She wake cm be recombed The turbulent wake released by She bhde is quickly dissipated md diffused d wnsheam The same process of wake defommation md broadening, due to the action of She tip vortices md of the hub vo tex, observed m th vorticity plots, is also seen m She turbulence level distributions Newx6heless, new i formation are obtained by 6 is second order statistics: - The effect of hub vo tex roll up m She wake is why importmt md et x/R=2 the t lad wake, ii king She tip vortex to She hub vo tex, almost d6scppe s especially for the at, di tribution - Turbulence diffusion from She hub vortex occurs m the l ongitudincl evo hit ion e pec id ly for c. es expected due to the hub vo tex orientation - Some small scale turbulence, more evid nt m She c, distribution, generated probably et the lecdi g edge of the bade, is quickly dissipated downstream withm one prop llemadius - The effect of noise in She images, due to She cavitating hub is pouted o t by the intense spikes in She turbulence level di tribution - Velocity fluctuations et She tip vortex core increase while this is convected d wnsheam This aspect is rented to She vortex breckdow in tability which effects She velocity fluctuations th ough paticl o sc il lit ions of th c m e Fur6herm ore , the pattem of the turbulence dishdbution suggests that the tip vortex oscillation occurs m some preferential direcriom The tip vortex fluctuations, lecdmg to She t ret down, c m be pointed out also by evaluating She stmdard deviation of the spatial fluctuations of tip vo tex core wish reap cl to She metn et c given longit dirul position The result, given m figure 15, shows that the cmplit de of She spatial fluctuation is mcrecsi g dow sheam md that She amplitude of h msverscl fluctuations has c higher g owth mte m respect to the lo git dmal This reach is similar to chose obtained by Cot om et cl (1999) for c different propeller md seems to be c g nercl fectme of She helical vo tex system behaviour A other impo tmt feature of She tip vortex ystem mstioility, pointed out by P V, is She separation of She four tip vortex hajectories after the section of maxim m contraction ~ figure 16 She evolution of She tip vort:x tmjecto y for different revolution males is shown Ah er She connection, md cppmximately et She same kc ,h m where She tip vo tex interacts with She wake of the subsequent bade, here is c clear separation of the trajectory of She tip vo tices due to She different bodes Furthermore, es pointed out m She same figure, She locati m of She tip vo ti es m She measurement plume at different males pomts out She 03 .11 won of the whole sheam tube This is loosing its axisymmet y md bird periodicity but in the fi st phase of She t ret dow still maintains the phat with She propeller revolution Such behnviour also provides m exphrmtion of She bade sub harmonics pressme fluctuations sometime e perienced by the hull Such measur merits are in perfect ag cement with She flow vis disations obtained m incipient cavit Lion given m figure 17 The tip vo tex trajectory t par dion is drictly rel ded to the hub vo tex defommation which moves from a Ime into a pi al This behaviour is mai dy due to mutual tip-hub vortex interaction as demonshated by thei simultaneous generation The starting point of the instability could be the crossed Id wake mteracti m as proved by the fact that when red t ~ g the loading condition 6 is interaction is sh ted dow sheam as do the l He tkdow CONCLUSIONS The PIV tech iq~x was used in a cl coating water tunnel to investigate the sp dial md tempor d evolution of She wake of a four bode marme propeller m a mffomm i flow Both indmtmeous md averag d velocity fields are achieved, the fader tfter phst sampling averaging own She stme regular position of She propeller bade The experimental results, in terms of velocity md vo ticity fields, reveal some of She different contributions to She complex propeller flow field:

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1. The viscous part of the wake generated by the boundary layers on the blade surfaces. 2. The potential part of the wake deriving from the vortex sheet at the blade trailing edge. 3. The slipstream contraction of the wake along the downstream direction and the beginning of its broadening after the contraction 4. The cross-blade interaction which seems to be the starting point of the breakdown process. 5. The behaviour of the tip and hub vortex in the instability of the helical vortex system. The PIV technique, both for the careful control of the set-up adopted in the present experiment and for the image analysis algorithm implemented, allows a good spatial resolution (of the same order of magnitude as in LDV) to be obtained. PIV has proved to be a suitable means of investigating the complex flow field in the wake of a propeller giving additional and complementary information in comparison to the LDV technique. Acknowledgements. The authors are grateful to the CEIMM personnel and to Mr. Di Florio who supported the PIV measurements. This work was sponsored by Italian Ministero dei Trasporti e delta Navigazione in the frame of INSEAN research plan 2000-2002. REFERENCES Arndt, R., Maines, B. "Viscous effects in tip vortex cavitation and nucleation", Proc. of the 20th Symposium on Naval Hydrodynamics, 1994. Biggers, J.C. ,Orloff, K.L., "Measurements of the helicopter rotor-induced flow field", Journal of American Helicopter Society, Vol.20, no. l, 1975. Cenedese, A., Accardo, L., Milone, R. "Phase sampling techniques in the analysis of a propeller wake ", Proc. of the International Conference on Laser Anemometry Advances and Application, Manchester UK 1985~ Chesnack C., Jessup S., (1998), Experimental characterization of propeller tip flow, 22th Symposium on Naval Hydrodynamics, Washington D.C. Cotroni A., Di Felice, F., Romano, G. P., Elefante M. "Propeller Tip vortex Analysis by means PIV", 3rd International Workshop on PIV, Santa Barbara CA, (1999) Hunter, WW, Nichols, CE., "Wind Tunnel Seeding Systems for Laser Velocimeters." NASA Conference Publication 2393, Workshop, March 19-20, 1985, NASA Langley Research Jessup, S.D. "An experimental investigation of viscous aspects of propeller blade flow". Ph.D. Thesis. 1989 The Catholic University of America, Washington D.C.. Keane R.D., Adrian R.J., "Theory of cross-correlation analysis of PIV images", Applied Scientific Research, Vol.49, 1992, pp.191 -215. Keane R.D., Adrian, R.J., "Optimization of Particle Image Velocimeteres". Part 1: Double pulse system. Meas. Sci. Tech., 1, pp. 1202 1215, 1990 Kobayashi, S. "Experimental methods for the prediction of the effects of viscosity on propeller performance". Dep. of Ocean Engineering, Rep. 81-7 MIT, 1981. Kobayashi, S., "Propeller wake survey by laser Doppler velocimeter". Proc. of the International Symposium on the Application of laser-Doppler Anemometry to Fluid mechanics, Lisbon 1982. Koyama, K., Kagugawa, A, Okamoto, M. "Experimental investigation of flow around a marine propeller and application of panel method to the propeller theory", Proc. of the 16th Symposium on Naval Hydrodynamics, 1986. Landgrebe, A.J., Johnson, B.V., "Measurement of model helicopter rotor flow velocities with a laser Doppler Velocimeter", Journal of American Helicopter S ociety, 1974. Vol. l 9, no.3. Melling A., "Seeding Gas Flows for Laser Anemometry". AGARD Conference on Advanced Instrumentation for Aero Engine Components, AGARD-CP 399, 1986. Min. K.S, "Numerical and experimental methods for prediction of field point velocities around propeller blades". Dep. of Ocean Engineering, Report no. 78-12, MIT, 1978. Meyers, J.F., "Generation of Particles and Seeding". Von Karman Institute for Fluid Dynamics, Lecture Series 1991-05, Laser Velocimetry, Brussels, 1991 Raffel, M., Willert, C., Kompenhans, J., "Particle Image Velocimetry", Springer ISBN 3-540-63683-8, 1998 Serafini, J.S., Sullivan, J.P., Neumann, H.E. "Laser Doppler flow-field measurements of an advanced turboprop", 17th Joint Propulsion Conference, AIAA/SAE/ASME, Colorado Springs, Colorado,1981. Stella, A., Guj, G., Di Felice, F., Elefante, M. "Propeller wake evolution analysis by LDV", Proc. of the 22nd Symposium on Naval Hydrodynamics, Washington, 1998. Wang, M.H. "Hub effects in propeller design and analysis", Dep. of Ocean Engineering., Rep. 85-14, MIT, 19850

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Westerweel J., "Efficient detection of spurious vectors in particle image velocimetry data", Experiments in Fluids, Vol.16, pp.236-247., 1994 Westerweel J., "Fundamentals of Digital Particle Image Velocimetry", Meas. Science and Technology Vol.8, pp.1379-1392., 1997 A. o -0.5 ' at, 1~.~. Figure 8: Longitudinal (U) and radial (V) component distribution for ~ =0° 1.1 0.91 0.70 0.49 0.28 0.07 HI I I I ~ upstream 1 .06 0.83 0.59 0.35 0.1 2 -0.1 2 -0.3 5 -0.59 -0.83 - 1 .06

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1 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 1.80 2.00 1 -n 0.5 O -0 .5 -1 __ 1 1 1 111 1 1 111 1 1 111 1 1 1 11 1 1 111 1 1 111 1 1 1 11 1 1 1 11 1 1 111 1 1 111 1 1 1 11 1 1 1 11 1 1 111 1 1 111 1 1 1 1 -0.2 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 x/R Figure 9: Modulus of the inplane velocity with streamlines . ...................... ....... ..................... -50 -43 -36 -29 -22 -1 5 -8 1 8 1 5 22 29 36 43 50 .,::- ~— Ed__ ~ ,,--. ,~.0 (. ,;;. ~-;~- >~ w ~~ ~~ ~ ~~''~ ma'-' ~-~-~-3 ~-----2=~---- >--^-----~$P~'-'--3~''''''~''— _,,,,,, \, NO ~ ,,,,----', ''''I ~ --' Am' - - - - ---~3~ -~ ~~''~ x/R Figure 10: Non dimensional vorticity distribution and streamline in the frame moving with the upstream flow for O=0°

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o "I ~ ~ !!!~ -0.1 <- 1 ~ ~ ~~ L ~ ~°° -1 1 ~ I I I 0 1 x/R 2 3 ~ IRE oo -1 1 ~ I I I 0 1 x/R 2 3 ~ IRE oo -1 -1 1 ~ I I I 0 1 x/R 2 3 ~ IRE oo -1 1 0 1 x/R 2 3 Figure 11: Marcy evolution far 0= 20°.40°,60°,80°

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-160 r -170 -180 -190 . _ > x -200 > -210 Q F -220 -250 / 1 \, \, o. o ,.. -230 o -240 o ~ 0.5 1 o ~ to.- -- o a,.... o ~,,o ~ ,..:. o OCR for page 505
-1 1 . ~ - . . ~ :::: . ~ OS O.~6 O. 10 O.~14 O. 1~:8 ~ 2~2 1 ~ O.5 1 :~11t ~2~5 13 0~:5 Alto Solo 600 Soo 4 ~ ~ ;~14' Figure 14: ov distribution evolution at ~ = 20°, 40°, 60°, 80°

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0.016 0.014 0.012 003429*x/R+.005837 .~ ,.,---' , '- - ~ , , K \ ' ~ -" ' 0.01 ~ ~ i: --- ~~
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· 1 1 1 ~ ~ Figure 17: Flow visualitation in incipient cavitation of the propeller vortex system dispersion and hub vortex deformation

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DISCUSSION R. Arndt University of Minnesota, USA I would assume that the propeller tip vortex interaction would be a function of advance coefficient. Is this true? Have you investigated vortex breakdown? AUTHOR'S REPLY The propeller tip vortex and wake blade interaction as well as the vortex breakdown are function of the advance coefficient as expected. In the present paper results regarding only the case of advance coefficient J=.74 has been presented but measurements for J=.88 and J=1.02 have also been performed. 1 0.1 rIR In figure is shown the comparison of the vorticity field for the above higher and lower advance coefficients for the same propeller revolution angle. At higher J due to the higher pitch of the wake, the interaction of the actual blade wake with the tip vortex of the previous one is shifted downstream. Furthermore at higher advance coefficients, a weaker wake and tip vortex, reduce the cross-interaction resulting in a more stable helical vortex system as observed in incipient cavitation flow visualization (Stella et al 2000) REFERENCES Stella, A.,Guj, G:, Di Felice, F., Elefante, M. "Propeller wake analysis by LDV and Flow Visualitations", September 200O, Journal of Ship Research, Vol 44, N 3, pp.l55-169 Vorticitv*~IlL -~.1 ~ ant. . . ~~ ~ ~~ . ..~ ...... ~~ ................ -1 I~ 1 -1.1 ..~.~.~.~-7 29 ~~..~. ~ ~~ ~2 :,g, ..{'' ~~ 4. ~~ .......... , ~~ ... ~ 0.2 DA 0~ 0.0 exit 1.2 1 A 1~ 1~ ~ Figure: Comparison of the vorticity field at two different values of the advance coefficientJ

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DISCUSSION G Bark Chalmers University of Techmology, Swed p First of all I would like to f Ok the mthors for c very interesting paper demon trctmg the potential of She PIV tech lame for the st +. of aspects of propeller wakes spat c m be of interest to under t Ed propeller operation es w ll es cavitation For under t mding She cavitation process c thorough k owledge of She unsteady flow field of She non~avitatmg flow is import mt also if the act cl flow c mbe signifc mtly i flues edbythecavitation ll~record~n of the velp ity es c function of time m c point is limitedbyfhe fprmercte of She c erred n on camera, m this case 15 B This ficme rate is too smell to gee ptte c relev mt time series et hpi 91 conditions Thi king of She frame rates of high speed digital video cameras, being typically some thous mds frames per second, my question is whether it is possible with present technology to in rease She frame rate in She PlV-cpplication Ed record c time series of signffic Fitly higher resolution in time? Or do w have to relay on the periodicity of She flow Ed consh uct the time series fi om measurements from deferent revolution with differs t displac merits relative the propeller? Due to She t mgenticlly Educed velocity c materiel pomt will how ver move slowly out of the axial plane in which it was originally observed) Fore Per+. home en ousi flowthequcsi steady metho d for talc mg the vortex development do..- stream the bade is adequate In She more or less unsteady wake of c ship, where the so celled tip vo tex bursting sometimes occurs in She cavitating vortex, it c m how ver be of intere t to follow the development of c particular vortex is c study of m unsteady motion of such c time scale possible with the p eded requu ements on She accuracy? With the present questions in m Ed, what is then She exact me Ding of She temm "mst mtaneous" in Figure 7? At THOR S REPLY To reply to She interesting points poised by Frof Bark, we would like to rater to She images given in the figure They represent the 11 ar-wall region of c turbulent water charmel flow acq ired with c high-sped video camera (up to 2000 imagesls) et the University "Lit Scpiep c" m Rome A contimmous sequep e of up to 1000 images es those show d cm be tcqmired Ed ilored on c PC At present, fi is device is used to acqune FIV images Ed to derive the time evolution of She whole FIV field in differe t flows (1) The i formation fiom these plots are used to detect flow structures (es that et x=150 220, y 50 m the fgme, where the + is used to indicate wall variables) Ed to follow their evolution Ed Interactions With c similar system it is possible to c omp ute or o s s -c on e lat ion f p t i ons betw en successive fi Ames Ed to ot lam the velocity f eld with c rather high temporal resolution (similar to that obtain d with m LDA system) Therefme, the mswer is definitely yes, it is possible to achieve c resolution in time es high es I kB he this way, vortices c m be followed also in unsteady mdmhomogep ousflowconditions(cs in She wake of c ship or propeller) it is not strictly p cessary to average over different propeller revolutions, unless this was requu ed by the user Problems arise in re pect to the spatial resolution of the sy tem when high frame pttes are r quired (es m She case of large flow velocity) It should also be noticed that, with the FIV measurement sy tem employed in the paper, cldhough the velocity time histo y is not derived, the velocity field is almost in d mtaneous indeed, the time Interval betw en the two loser exposures (used to compute the cross-correlation fun non) is rasher mall (100 Us) The term "instmtmeous" must be considered es m average over c time inter It of such m order of ma nm~d REFERENCES (1) Cucolo G. Rom No G :' "Investigation on wall structures in c turbulent charmel flow using tereo FIV", Froceedines of the g Europe m Turbulep e Co ferep e, Barcelona, 2000

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1 X. w~ ~w Figure Velocity vectors in the near watt legion of ~ water chonnst recorded at time intervals equal to 1/2511 s.

Representative terms from entire chapter:

propeller wake