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

Page
342
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Page
342
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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Control of the Turbulent Wake of an Appended Streamlined Body S. Cordier, L. De Lotte (Bassrn d'Essais des Carenes, France) ABSTRACT Propulsor te ts at model scale behind a ship model are faded with the problem Hat Rey olds m mber similarity camot be met, even if large test facilities a used In She work presented we are specifically concerned with the flow similarity over the --or part of He hull with ad without apendages This issue concerns the mea flow into the propulsor (w ke fraction) ad He pow ring characteristics mch as sh It speed, thrust ad pow r When cavitation or hydkoacoustic studies are concerned, it also becomes impo tat to simulate He th ee dimensional di tribution of velocities, ad perhaps the turbulent flow prope ties in the propeller plan Several means of altering He flow over the hull in order to simulate R y olds n mber similarity have been st died ad tested in different laboratories Bo mdary layer blowing has been selected ad implemented on a model tested in the GTH The design of f is set up is briefly described R sults of LDV measurements a presented which show how the blowing system modifies He dishibution of velocities in a ve y effective rmnmer The characteristics of She wakes generated are analyzed (wake fraction, harmonic content) m pa icular with respect to the effect of apendages A medhod for analyzing LDV measurements in order to estimate the turbulence in the flow is outlined ad aplied to She measurements pe formed on She fter- body Fmally, She effect of She ch tinges m wake on She steady ad un teady pe forma es of a propeller a presented INTRODUCTION Tests conducted at model scale m naval hydkody comics are co fronted with She problem of R y olds n mber similarity which camot be met, even ff large test facilities are used This similarity problem requi es the use of extrapolation methods adapted to She different flows: ship resista e ad propulsion, flows on lifting surfaces ad propellers, separated flows, sheet or bubble cavitation, vortex cavitation, etc The variety of difficulties which arise f om She differences m he is very challengmg to She experimental hydkody amici t These issues a not easily solved by CFD either because of the large R involved (107 to 105) which create mmerical problems ad She i fluence of transition which is not modeled by RANSE codes Finally, aithonfh one can imagine Hat f 11 scale measurements are the a wer to these issues, the economical cost ad tech iccl complexity of performing scientific quality full scale velocity measurements on a ship have so far reduced These instep es to a very limited m mber with varying deg es of success (extent, n mber of components, ace tray) We focus our attention in f is pager on She flow aro Ed She hull ad more precisely in the propeller disk headed, the velocity field m this plan detemmines the vol medic flow rate in thepropulsor disk (wake fraction) ad the pow ring chaateristics such as rate of tom of the propulsor, f ust, ad pow r When cavitation or noise is She purpose of She tests, Hen it is important to simulate the 3D dimensional mea flow field ad in some instep es She turbulence levels in She wake

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The impo tan e of Rey olds m mber effects on ship wakes in the rage of R from 107 to 7 107 has been show m the GTH by 3D LDV measurements behind a single screw merchant ship form ad a twin screw naval ship model using, in each install e, a single model with flow velocities as widely spread as possible; t pically, between I ad 2 m/s at the low speed end ad 12 m/s, which is She highe t speed possible in She large test section of the GTH L Briagon-Marjollet & al, 1995; S. Cordier & al, 1997) These measurements show wide differences m She w ke fraction ad She th ee dimensional features of the wake ma. which a due to She changes R These have proven useful to correct model scale towing rank w ke ma. to f 11 scale wake di trrbutions More recent work Evolving She effect of the propeller has shown how he effects m She nom mat wake are m odffied by the propeller action More recently similar investigations have been performed on a submarine model derived from the SUBOFF shape ad on She twm screw vessel operated by SACLANT (the Allia e) This worked sponsored Through a WEO EUCLID prog am is focused on evaluating the Hi it of CFD to capture flow details such as he ad propeller effects The motivation m this work was to amply this methodology to submarine work m order to evaluate He he effects on bare ad Upended submarine hull forms As far as She wake f action is concerned, different empirical formula have been developed for different types of ships which enable She exhaolation of the model scale effective wake f action to full scale These are based on statistical analysis of families of ships for which reasonably good full scale data is available For submarines such data bases are limited in She mmmber of ships ad when dealing with novel geometries, empirical methods ape of no help it is fhffefore essential to oh am a realistic wake at m odel scale to determine the full scale design point The goal of this work was to develop ad demonstrate She effectiveness of a bo mdary layer conhol method, to study She characteristics of the wake of She body at different he ad with different levels of boundary layer control for different co figurations (with or without apendages) Finally, f is st dy focused on the effect of the wake parameters on the perform e of a propeller operatingbehind this body The workwasbroken down inn ee parts: selection ad development of ah mdary layer control method using CFD design ad fabrication of He experimental set up tests m She GTH ad analysis of measurements (mea ad turbulent flow, steady ad msteady forces on the propeller) BOUNDARY LAYER AND WAKE CONTROL Several methods have been imagmed ad investigated by different authors to reduce the differences in flow field due to R non-similarity at model scale Lachle & al, 1983): use of a low viscosity fluid such as liquid hell m, extension of the laminar flow over the body using heating of He body to reduce He width of the wake, reduction of the length of He fore part of the model, changes in the test section shape in order to modify She pressure dishibution ad boundary layer development on the model, use of polymers (large molecules) to reduce the thickening of the boundary layer ad wake, suction of She bo mdary layer on the body, blowing of the bo mdary layer Further examination of these different solutions quickly points to technical or practical dffficulties associated with all these schemes For example, She use of low viscosity fluid is limiting h case it is not suited to the simulation of cavitation behavior Furthermore, the size of She models associated with this technique is so small as to be not practical h case of the relative sin: of existing flow velocity measuring devices The use of heating for laminar flow is not practical in terms of model fabrication ad its effectiveness is very dependent of She shape of She body R d i non of the fore pa of She model implies a modification of geometry which is not always compatible with the requi ements of She st dy How ver, when possible, this method is quite practical Changes in te t sections are not practical ad not very effective The use of polymer requires cleamg of the tunnel after use which is not economically possible Suction of the ho mdary layer requi es large flow rates which are difficult to mcorporate in a submarine model Finally, She possibility of using a blowing sy rem was considered She most practical This method had previously been tested wifih Access in a t m I for the elimination of fihe wall ho mdary layer

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upstream of a wall mounted fin test set up. Blowing is relatively simple to implement, does not require a change in the shape of the body. The effectiveness of boundary layer blowing is the injection of small quantities of high momentum flow along the wall of the body, deep in the boundary layer of the flow. This momentum is transferred through the action of turbulent shear forces across the boundary layer. After a certain distance, the jet corresponding to the high momentum flow is diffused so that the velocity profile assumes that of a natural boundary layer. The use of blowing allows the injection of momentum with a relatively small flow rate which is convenient for integration in a model. Reynolds Average Navier Stokes (RANS) calculations were performed in 2D axisymetric flow for different slot positions and slot heights with varying jet velocities. These parameters (figure 1) were adjusted so that the velocity profiles in the propeller plane were monotonous and corresponded to high Reynolds number velocity profiles. These calculations allowed the definition of the slot dimensions, and flow rate required to generate the appropriate wake. Systematic calculations were performed using different sets of parameters (h, Xs, Vj/Vo) and the resulting velocity profiles were analyzed to identify the best compromise between jet velocity, slot width and position. One constraint in this optimization was to reduce the flow rate as much as possible so as to reduce the mechanical problems associated with the integration of the ducting in the model and the support strut. Hence for a given jet momentum required to alter the boundary layer profile, the jet velocity is increased and the jet slot width is decreased. Then the axial position of the slot is chosen so that the jet has sufficient time to diffuse and adopt a realistic boundary layer profile. Reducing the slot width is very effective in accelerating the diffusion of the jet. The compromise was found to be most effective with jet velocity ratios on the order of 2 and a f ow rate coefficient (Cq) of about 1 to 2 percent (Cq = Q/Vo/~ R24. EXPERIMENTAL SET UP The tests were carried out in the large test section of the GTH (Grand Tunnel Hydrodynamique) located at the Bassin d'essais des carenes in Vat de Reuil. This test section is rectangular (2m*1.35m), and 10m in length. The maximum f ow velocity in the test section is 12m/s. The strut which supports the model is attached to the roof of the test section. Figure 2 shows a schematic of the experimental set up. The model is about 4 m long and 0.45 m in diameter. It is built in 3 main sections: nose, central section with the blowing system and the tail which houses the propeller drive motor and the dynamometer. The blowing section forms a 1 mm thick slot around the circular periphery of the body and is set at a 10° angle with respect to the body surface. The slot is located at about 65% downstream of the nose of the model. The jet is formed by accelerating the f ow from a large settling plenum. This one in turns is supplied with water pumped from a connection in the tunnel through a f ow meter into the strut. The pump was installed as low as possible in the tunnel to reduce the risks of cavitation. The f ow meter is of the venturi type and was specially designed and built for this purpose. vo as, xs Slot angle !~` . ~ ~ ~ Plenum.F Jet velocity Vj ~ propeller Ro . Qi . Model Figure 1: Blowing slot parameters with h : slot thickness, Xs : axial position of slot ~ : angle of the slot axis Vj Vo: non-dimensional jet velocity Ro : radius of body ~51515151515151~ . Vo ~ ~ blow~ng plenum motor ~ns~ume~ntation - Figure 2: Schematic of the blowing section in the experimental set up The tunnel velocity used throughout these experiments was about 5 m/s and the f ow rate on the order of 20 1/s. This range of parameters allowed the blowing coefficient to be varied from 0 to 2.5% (CqO=0, Cql=0.016, Cq2=0.021, Cq3=0.0254. The model can be equipped with different appendages

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which are typically found on submarines (sail, deck, dive planes, rudders. The results presented here correspond to two configurations: bare hull and appended hull (stern dive plane and rudder). Several types of measurements were performed during several test campaigns: · 3D laser doppler velocimetry, · mean thrust and torque on the propeller, · fluctuating propeller thrust, · radiated noise, pressure fluctuations on the hull. The measurement of unsteady thrust is useful in evaluating the low frequency excitation of the propeller due to wake non-uniformity. The results presented here are mostly concerned with the LDV measurements and powering performance. BLOWING SYSTEM EVALUATION The blowing system and the behavior of the jet for different flow rates were evaluated during dedicated tests. Some of the tests were performed to calibrate the pressure drop in the pump loop as well as the flow meter. The behavior of the jet for different positions downstream of the slot was investigated through measurement of the velocity profile. These measurements were performed for different jet velocity ratios in the bare hull configuration. The radial distributions of the measured axial velocity for different flow rates and for different axial positions are presented in figure 3. The data corresponds to three axial positions: at the jet nozzle exit, in the middle of the after-body and in the propeller plane. z+ represents the distance from the model in mm. Figure 3 shows how the velocity profiles evolve downstream of the slot from the high velocity jet at the slot exit which develops a thin boundary layer along the body and a shear layer with the incoming boundary layer (figure 3.a). The shear forces acting on the jet tend to diffuse the jet, reduce the value of the maximum velocity and increase the width of the shear layer. Further downstream, the velocity profiles tend to lose the inflection point which corresponds to the mixing layer between the jet and the upstream boundary layer (figure 3.b). Finally, in the propeller plane, the radial velocity profiles are monotonous and are similar to the natural wake (Cq=O) (figure 3.c). -0,20 CqO ~ Cq1 -0,1 5 Cq2 =+ -0,1 0 N -O,05 0,00 0 0,25 0,5 0,75 1 1,2; u/Vo Figure 3.a: Velocity at the slot exit -0,20 -0,15 -0,1 0 N -0,05 CqO Cq1 Cq2 ~ Cq3 0 0,25 0,5 0,75 1 1,2 u/Vo Figure 3.b: Velocity on the afterbody -0,8 -0,6 m+ -0,4 -0,2 O CqO Cq1 Cq2 Cq3 CqO ( 1 2m/s) 0 0,25 0,5 0,75 1 1,25 u/Vo Figure 3.c: Velocity in the propeller plane Figure 3: Measured radial velocity profiles for 4 blowing flow rate (Vo=5 m/s)

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These figures show the effectiveness of this boundary layer control system whereby the radius of the viscous wake can be changed by a factor of roughly 2 by simply changing the blowing pump velocity. The final wake velocity profiles with the blowing system active appear to be similar to the velocity profiles obtained naturally. The profiles on figure 3 show velocity data without blowing (Cq=O) for a tunnel velocity of 5 m/s (Re=3 107) which corresponds to the natural evolution of the boundary layer and wake. Measurements at 12 m/s (Re=7 107) are also shown in the propeller disk to illustrate the difference in velocity profiles due to the difference in Reynolds number. Clearly the range of velocity profiles which can be achieved cover this difference in Re and most likely much larger differences in Re, i.e. to full scale (Re= 109~. The advantage of this system is its capability to vary the wake rapidly during a test so that the sensitivity of the propeller performance to this parameter can be investigated. Wake fraction 0~5 oo'3 ~0,2 0,1 CqO Cql Cq2 Cq3 ' \\ )K CqO,12m/s ~ ~ - l l l 0 0,2 0,4 0,6 0,8 wn Figure 4: Wake fraction as a function of the disk diameter (without tail planes) 0,5 0,4 In order to quantify the effect of blowing on the wake, it is convenient to examine the variation of To 093 wake fraction as a function of disk radius. The mean + wake fraction is calculated as follows: ~ 0,2 Wn=l-s i~('°)dS prop Sprop 0 0,1 al ~ f lo; prop Fir 03 d dd O Wake fraction without tad! planes Figure 4 summarizes the wake fraction data calculated for 5 values of the radius (20mm, 40mm, 60mm, 80mm et lOOmm) based on the measured radial velocity distributions on the propeller plane for 4 blowing conditions at 5 m/s and without blowing at 12 m/s. The distribution of the wake fraction as a function of the disk radius is similar for the different conditions which confirms the realistic nature of the resulting wakes. It can be noted that the wake fraction reduces rapidly as the disk radius is reduced. Figure 4 shows that significant gains in wake fractions can be obtained using blowing. Hence, at 5 m/s the nominal wake can be modified by a factor of two and can very easily compensate for the Re effects which could be simulated on the model by changing the tunnel velocity from 5 to 12 m/s. CqO Cql ~0 ~Cq2 '` ~ C3. ~ Cq3 · ¢1 · 11 , , , 1 0 0,2 0,4 0,6 0,8 wn Figure 5: Wake fraction as a function ofthe disk diameter (with tail planes) 0,5 0,4 0 0,3 ~ 0,2 0~ ~CqO C] Cql Cq2 Cq3 , ~ 0 0,05 0,1 wn w/ tail planes - wn w/o tail planes Figure 6: Effect of tail planes on the radial distribution of wake fraction

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The velocity profile at a blowing coefficient value of Cql is sufficient to match the higher Re profile. A slight difference in profile slope can be identified. Wake fraction with fad! planes assimilated as a Re effect, higher Re will not only reduce the wake fraction but also modify the azimuthal distribution of velocities which will strengthen the higher harmonics of the wake. .; ,. As expected, the presence of tail planes increases the wake fraction giving a relatively linear radial distribution of wake fraction (figure 54. The shape of the distribution in wake is very similar for all blowing coefficients which shows that the blown boundary layers have a realistic global effect. In order to bring to evidence the modification of the wake fraction due to the tail plane, the difference between the wake fraction with and without tail planes is presented on figure 6. The presence of tail planes results in an increase in wake fraction for the larger radius. The influence of tail planes on wake fractions is rather constant for all blowing coefficients with a maximum value of 0.075 at about 0.3 z+/Ro. EFFECT OF TAIL PLANES ON THE WAKE DISTRIBUTION In order to analyze in further detail the relative effects of blowing and tail planes, wake maps were performed for the different configurations. Hence, the effect of tail planes can be identified by subtracting the bare hull velocity profiles from the wake maps measured with tail planes. This subtraction is performed for the different values of blowing coefficients. The resulting velocity profiles are shown on figure 7 for CqO and Cq2. This figure shows how the tail planes strongly affect the spatial velocity distribution in the plane of the propeller. The cause of the disturbance, more than the velocity deficit of the wake of the tail planes, is the presence of the so- called horseshoe vortices which are due to the radial gradient of upstream velocity which creates a radial gradient of pressure on the thick fins and hence a vortex pair. The presence of this vortex has for effect to pump high velocity flow in the area behind the fin and to concentrate low velocity flow between the tail planes. Figure 8 shows the difference in axial velocity wake maps measured with appendages for two values of blowing (Cq2 - CqO). The effect of blowing on the wake upstream of the appendages generates a modification of the vortex structure which develops along the root of the tail planes. The axial vortices are closer to the after-body with stronger velocity gradients. This difference is hence more important for the inner radii of the wake. If the blowing effect is it. A.... . . . . ~ . ~ .~ Figure 7.a: Difference in wakes for CqO (wake with tail planes - wake without tail planes) .; ..~..k, ...... . (. .. .. k :::: :, ,~ if : ., . A.. :. :,, Figure 7.b: Difference in wakes for Cq2 (wake with tail planes - wake without tail planes) Figure 7: Effect of tail planes - (axial component) :,. it~,~j~..: A. .~...~.-~ ~ ,:-. .~ .......... .......... .. ~ .. - I. ~ i .~ . ~ .. :~..:.~... .. .~ .. ... ~~.S Aft' '.r' ~~,: <;,' ~ :~. .. '; . ... :.:.,:. Figure 8: Effect of blowing on the wake with tail planes (axial component, Cq2 - CqO)

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EFFECT OF TAIL PLANES ON THE WAKE HARMONIC DISTRIBUTION The most effective way of describing the azimuthal variations in wake velocity is to perform a harmonic analysis of the velocities measured at a given radius. This harmonic decomposition is written as follows: 00 Wn (r, q) = 2,Vxk (r )cos (kq +i k (r )) k=0 Relative amplitude of harmonic components 2 1.5 1 with: Vxk amplitude of the kth harmonic of Vx Ok phase of the kth harmonic of Vx O Figure 9 presents the result of this type of analysis for the axial velocity at the radius r/Ro = 19%. The data on figure 9 is in fact the relative amplitude of the first 4 harmonics of the wake obtained by dividing the amplitudes measured with blowing (Cql, Cq2, Cq3) to that measured without blowing (CqO). The ordinate scale is hence the amplitude of nth harmonic with blowing divided by the amplitude of nth harmonic without blowing. Although the wake map data showed some effect of blowing, the harmonic analysis in the form presented here shows considerable influence of the harmonic content even for minor blowing flow rates (Cql). The effect on the 3r~ harmonic is considerable since it nearly disappears. The importance of the effect of blowing on the harmonic content is illustrated on figure 10 where the wake map corresponding to the fourth harmonic is pictured for two values of blowing coefficient ~ CqO and Cq24. The levels indicated are in m/s for a reference velocity of 5 m/s. For certain values of the harmonic components, both amplitude and phases of the harmonic are changed. This type of data illustrates how a flow modification similar to a Re effect can have large influences on the unsteady excitation of a rotor. TURBULENCE If the mean velocity distribution (wake) has an effect on the unsteady performance of apropulsor, the turbulence of this flow can have some importance on the behavior of the hydroacoustic response of the propulsor. It is therefore of interest to look into the turbulence in the wake and into the way it is affected by parameters such as blowing and propeller operation. For this purpose, the velocity measurements in the turbulent wake upstream of the propeller disk were performed using a LDV system in different operating conditions. r/Ro= 19% o 111 Cq l 1111 Cq 2 I~Cq3 ~- Harmonic 3 4 Figure 9: Effect of blowing on the harmonic . . decomposltlon ........ ... (~ ~ .. ~ . ~ ·t, .~E . ~< .............................................. .>i ? ¢ ). 3 .,,~ :~ :: :-'; . ~ ~ ~, : .:.::,.; ~ ... ;< ,.::( ,,., i~ Figure lO.a: Representation of the wake due to the ¢h harmonic for CqO ~.~ ~. . ...: ...i ~ ...~t . .~., (..:i; <~. ~ ;..- t~ ~: ~ 1? .. . ....-..:~.~. Figure lO.b: Representation of the wake due to the 4th harmonic for Cq2 Figure 10: Reconstruction of the fourth harmonic of the wake for blowing coefficients CqO and Cq2

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However, turbulence measurements using Laser Doppler Velocimeby are limited in terms of data rates in He GTH ad using micro bubbles of water valor ad air, the average data rate is in He order of I to 2 kH This f equency rage represents a average value since the data sampling is a ran dom process which is triggered by the passage of a tracer m the measurement volume in the GTH, the time between two consecutive a ival times of tracers follows ve y closely a exponential distribution which parameter ~ is equal to the mea samplmg rate This diary: em on is truncated at high frequency by the limits of He LDV system Figme 11 is a example of measured histog am for which the smallest time 1000 1 ferry. al hrne interval (ms) Figme 11: Histog am of time betw en scamp le arrival times This type of random sampling precludes He direct use of classical algorithm to estimate the spectral pow r densities Two methods have been considered: intemolationmethods direct atocovaria e calculation The first method is not relict le a d the second one was implemented because it only uses atocovaria e calculations ad does not require the estimation of data pomts betw en measured pomts The method used relies on He truncation of the actual arrival time to the resolution of the clock of the data Requisition system Hence He data is m the form of a regularly sampled signal with missing data points The pectral pow r density of He velocity fluctuations is obtained by the Fourier transform of He atocovaria e of this signal This method is robust a d effective but it is limited in f equency to a value move which the noise in He pseudo signal is larger than the signal Figme 12 presents f ee examples of t rbulence spectra measured in He wake with ad without blowing ad with ad without propeller The hori ontal line in He plot represents He detection limit of He medhod The results presented here show Hat the t rbulence levels are slightly low r when He blowing >! tem is active ad when the wake is smaller in size However, when the propeller is operating, He turbulence levels are much low r due to the aceleration of the flow This data clearly shows Hat when turbulence quantities ape requi ed, the effect of He propeller camot be ignored Figmre 12 a: Turbulence spectr m (without propeller, CqO) Figure 12b: Turbulence spectr m (without propeller, Cq3)

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-45 -50 dB -55 -60 . Log frequence Figure 1 2.c: Turbulence spectrum (with propeller, CqO) Figure 12: Examples of measured turbulence spectra in the wake. POWERING PERFORMANCE The thrust generated by the propeller with different flow rates of the blowing system was recorded. The configuration tested was the one with the appendages. The trust coefficient, Kt, is plotted against the advance ratio Jan on figure 11. T Kt= r 2D4 ~ Vo J tan = nD The advance ratio is based on the tunnel speed and hence, does not take into account the differences in wake fractions due to the viscous effects and blowing. Hence, the curves of Kt exhibit a gradual shift to lower values of Kt as the blowing is increased which is expected. In order to asses the effect of wake fraction on propeller performance, the measured nominal wake fractions based on the LDV measurements were used to correct the advance ratios from a behind condition to an estimated open water performance JO = JO ~ (1- An) . Figure 12 shows the same values of Kt plotted against a corrected advance ratio. The collapse of the curves to a single curve is remarkable. Hence, when the measured nominal wake is used to correct the advance ratio, the resulting Kt values are identical. This shows that although the change in wake due to blowing induces both complicated changes in the wake structure (axial vortices, etc..) and changes in the radial loading of the propeller, the nominal wake based on the integration of axial velocities is sufficient to correct the rpm. Inversely, if the propeller operating point is known at full scale (ship speed and rpm), it is very easy using the blowing device to adjust the wake so that this operating point can be reproduced at model scale with a realistic wake containing the non-uniformity and the turbulence content closest to full scale as possible at model scale. The advantage of performing this adjustment is that the scaling of the frequencies associated with shaft speed will match the full scale values. Furthermore, for cavitation inception studies, the local cavitation number and the radial distribution of propeller loading will match closely, leading to . . ~ . . . . more accurate predictions of cavitation Inception. Figure 11: Influence of blowing on propeller thrust Kt 1 1 CqO Cq1 . - ~ - Cq2 . - A- - - Cq3 Figure 12: Propeller thrust as a function of corrected advance ratio

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CONCLUSIONS A boundary layer control device has been st died ad dev loped based on blowing along the body so fade This device has hen implemented on a axisymehic sheamlip d body for the pa pose of simplatmg wakes in the propeller disk with differ nt values of mea wake fraction This y em has hen v rived to work as expected ad to provide realistic v locity profiles on a ban body These v locity profiles cap compensate for disco pacies in the R y olds m mber of the flow compared to f 11-scale ad it is Therefore possible to achiev full scale wake fraction by adjusting the blowing system flow rate Wish 6 is . sytel, it is therefop possible to in stigate She sensitivity of the proppisor performance to changes in She upstream wake related to R m mber discrepancies The effect of She blowing device was st died on She ban hull wake ad on a Upended wake by st dying the v locity profiles, She radial wake fraction di tr~bution, She wake maws, ad the tmbplepoe m the flow For the la er a special a alysis method has been dev loped m order to obtain pow r specha of the t rbplence The data shows a strong i tip pee of the ppsheam v locity lield on She perturbation cased by tail planes which Spears m the v locity field ad She harmonic decomposition On the other had, the tmbplepoe lev is do not seam to be Front is affected by She blowing lev is Howev r, it is clear chat She propeller action is responsible for a large decrease in She t rbuIent lev is After this study oriented towards the qualffication of His system, it has been found to provide a effectiv m._ r to She p ed for a variable wake test set up it has then fop been used for the design of submarme proppisors where She advance ratio ad the distribution of circulation plays a key role in the precise estimation of She noise of the propplsor REFERENCES Briapeop Marjollet L., Cor`fler S., Laureps J-M., Rardo J., "Effect of wake scaling on the prediction of propeller cavitation", CAVES, Deaville, France, May 1995 Cordfler S., Legrapd F., Pipard J-C., 'Hull ad shaft wake Iteration", Propeller ad Shafting 1997, September 1997 Pipard J.C., "Et de experimentale et numeriqp do sillage en amont d'pp helice" These ECN, 1997 High R Molds Number Flows Using Liapid ad Gaseous H m, Sprmgff-Verlag, J. RpssellEditepr Viscous D ag R duction in Bopmdarv Layers Prog ess in Ashonatics ad Aeronautics, Vol 123, A AA, D Bushnell et J. Hefp r, edited s Lapchle G., Gurney G., "Laminar Boundary Layer St i i it on a Heated Underwater Body", Techmical Memorandum, Applied R search Laoratory, PSU/ARL-TM-83-157, Javier 1983 Jessup S., Remmers K., et Berberich W., "Comparativ cavitation p rt arm once evaluation of a naval m face ship prop tier, ISLE 1993, Cavitation h ception, pp 51-62 Nobach H., Mfdler E., Tropea C., "Efficient estimation of pow r pecrral density from laser Doppler a mometer data", E periments in Fluids 24 (1998 ) 499 509 Ramopd A., hhllao P., "Mesa es copplees LDA - Fils chards, et haitement des sigma LDA", Sime Comrres FracoPhon de Velocimehie Laser, Ron al

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DISCUSSION M L Billet ARL Pffmsyl mid State University USA The mthors have performed m interesting experiment where they used z walljet on z streamlmed body to control the me m wake Ingested by z do..- sheam propeller This has provided some insite mto mod Ihng higher Rey old mmmber flows in referee e to pow rmg perfommance How ver, the in ommg wake into the propeller for this treamlme body is also controlled by She afterbody adverse pressme gradient Ed interactions with the zpp ndr es The resultmt mean velocity profiles It different Rey olds mmmber See appropriately similar However, the IO..'ff Rey olds mmmber wall jet case is still z wall jet, although complicated by the zfterbody geometry Ed propeller The distribution of the turbulent en rgy th oughout the boundary layer carmot be appropriately similar (see Wyg mski, Katz, Ed Hover (1) The turbulep e data is not complete m this paper Ed She measurement method p eds some clarffication Have the mthors made measurements of She RMS, me ms Ed length scales for the cases tested? As discussed by the mthors, the spatially nommnifomm flow Ed the temporal variations are of primary cop rn for the propeller i flow For this reason, ARL Pemm State has utili ed shorter models Ed m some cases sheens are added to the nose of the body to gee rate She predicted me m wake However, the issue of turbulent en rgy distribution Ed flowheld harmonic content as z fun non of Rey olds mmmber remains z critical issue for cavitation mdhyd oacoustic pe formance Hz d oacoustic performance is very sensitive to flow features Ed m my st dies have shown f is relationship Two mterestmg experiments that relate appendage wake feat es to noise have l en conducted by ARL Pemm State Ed Brooktield Ed Waltz (2) Two experiments to investigate blowing from the trailing edge of m appendage have been conducted at ARL Pemm State The wind tum I experiment of z conhol-su face-like appendage show d the ability of hailing-edge blowing to gee rate z moment mless wake, for z nonlifting, thee-dimensiopal al foil At m mgle-of.rttack of ten degrees, z completely moment mless wake using trailing-edge blowing could not be generated, becmse of the asymmetry of She original wake A dual-slot co figuration for zdaptmg hailing-edge blowing to z lifting foil was then evaluated in z second experiment, trailing~dge blowing on five stationary struts located up Ream of z li - e-t lad d f m was UK 0 porffed With z total flow rate f ough ail the blowing holes equal to 0 7% of the flow rate th ough She Ian itself, significant reduction in the radiated noise at the blade-passing frequep y Ed its integer multiples was demonstrated The reductions ringed fi m 15-24 dB for the first four harmonics Ed from 3-9 dB for the p xt th ee harmonics Brookfield Ed Waltz (2) have had similar success using tpuilmg-edge blowing on rotor bodes upstream of stator bodes m z highbypass~ztio Ian stage They approximately li fled in th moment m den cit in the rotor wakes, reducing the zmplit des of the first two wake harmonics by 70-35% The resulting stator unsteady loading was reduced up to 10 dB at the t lad -palm Ire~p~en y Referee es: l 2 Wygp mski, toast, Ed Ho Of, "Applicability of Scaling Laws to She Turbulent Wall Jet," Jourpai of PluidMffhmics,234,pp 669-690,1992 Brookfield, J. M Ed Waltz, I A, "Trailing- Edge Blowing for Reduction of Turbomachmery P m Noise," Journal of Propulsion Ed Power, Vol. 16, No 1, pp 57-64, Jznuary-Pebruary 2000 AUTHOR'S REPLY In our paper, figure 3 shows the evolution of the me m axial velocity profiles from the jet nozzle exit to the propeller plume m She bare hull co figuration Pour blowing flow rate w re te ted Vo=5 m/s) Purth rmore, messuremffpts at 12 m/s w re also shown in the propeller disk to illushate the differed e in velocity profiles due to She differed e in Rey olds mmmber Fit me 3 show dthat: the velocity profiles with the blowing system active appear to be similar to the velocity profiles obtain d pat rally, th blowing covers the differed e m Re betw en 5 m/s Re=3 107) Ed 12 m/s Re=7 10 ) The r mge of velocity prod les which c m be achieved seems to conespond to full scale Rey olds Number Re=109)

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Measurements of RMS were also performed for all the cases but were not shown in the paper. The radial distributions of the measured RMS axial velocity are presented below in the propeller plane. z+ represents the distance from the model in mm and R the radius of the body. RMS curves show some differences in the blowing effect area. -0.9 -0.8 -0.7 -0.6 -0.1 O. . . ~ ~ ~ CqO Cq1 :~: Cq2 Cq3 0 0.02 0.04 0.06 0.08 0.1 urms/Vo Radial distributions of the measured RMS axial velocity in the propeller plane for 4 blowing flow rates (Vo=5 m/s) DISCUSSION Michael B. Wilson David Taylor Model Basin, Carderock Division, NSWC This is an interesting investigation and implementation of a slot blowing boundary layer control concept aimed at manipulating the velocity distribution of a model scale turbulent wake at the plane of the propeller. The criterion of success should be the degree of accuracy of the simulation of the main features of a full scale turbulent wake. The approach taken here hinges on the range of control of the nominal wake fraction. Checks on the workability of this approach are based on test results over a very limited range of model Reynolds numbers: 3x107 to 7x107, not even a full decade. As mentioned in the paper, the target full scale Reynolds number is O(109~. It is also noted that the testing must have been carried out in relatively high temperature water, since the kinematic viscosity value inferred from the stated Rn-values and the model dimensions indicates that the water tunnel water must have been at around 39 deg C. One wonders whether this Rn range is perhaps too small for good accuracy control in light of the inherent uncertainties of the experimental process. For example, in Figure 4 of the paper, the curve of measured wake fraction wn for the tunnel velocity 5 m/s and CqO is essentially the same as the curve for tunnel velocity 12 m/s (at Cq = 0), and only slightly different from the curve for light blowing at Cql. The relative trends for the CqO and Cql curves actually change character with respect to the non- dimensional distance (z+~/ lo. Has there been an attempt at an uncertainty analysis for the determination of the wake fraction with the present scheme? There is no question that at the higher Cq values, the variation of the measured u/V0 has the general appearance of a higher Reynolds number boundary layer and wake velocity pattern. It is likely that at a higher blowing rate the distance between the slot and the propeller should be somewhat larger than at lower blowing rates so that the flow mixing and diffusion mechanisms have enough time for the velocity distribution to settle into the desired configuration. Are there test results that deal with this issue? A real practical question is what is the actual appropriate target wake velocity distribution at full scale. A1SO7 can the full scale wake be simulated at the model scale with a jet blowing flow rate that does not produce a distorted velocity distribution within the region of interest. It is suggested in the paper that this could be the case, but it is not demonstrated here. Some comments and questions in the nature of practical testing issues come to mind: The slot blowing around the periphery of the body will affect the test section ambient pressure and its spatial distribution in the vicinity of the stern and propeller. This pressure would be used in the calculation of the cavitation number. Was the magnitude of this influence measured? The blowing jet will also influence the distribution of the local surface pressures over some length of the body. Altered pressure distributions will affect the measurement of net hull forces in a water tunnel experiment. Has this effect been explored? The cross section area blockage of the model body in the 2 x 1.35 m test section is 5.9 %, which is pretty low. Nevertheless it would be useful to know if there are present any notable interaction effects or unwanted secondary flows involving the narrow circular jet in the presence of the test section wall boundaries.

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How would f is boundary layer control concept work with the body et m inclination Ogle to the oncoming sheam? AUTHOR'S REPLY The Rey olds mmmber is based on the model length Typically Rey olds mmmber effects on ship wakes c m be show in She GTH in the r mge of Re from 107 to 7107, which corresponds with flow velocities betw en I Ed 2 mls Ed 12 m/s highest speed possible m the large te t section of She GTH) In our case She model is 4 4 m long The water mm I em p revere was et around 24° during the tests Then She r mge of model Rey olds mmmbers was: 2 4~107 to 5 8*l07 All tests w re performed with the same model Ed the same blowing system The blowing section fomms c I mm thick slot around the cacular periphery of the body Ed is set et c 10° Ogle with respect to the body surface The slot is located et cutout 65% down tream of She nose of the model As explained in She paper, the characteri tics of the slot w re found to be the be t compromise betw en jet velocity, slot width Ed position m order to minimi e the flow mte es much es possible Ed to obtain monotonous velocity profiles in She propeller plane This optimization was perfommed with 2D Reynolds Average Navier Stokes RANS) cclcubtions In the paper, w concluded that She r mge of velocity profiles which c m be achieved with blowing covers dffferff~ces in Re betw en model Ed full scale Re=109) for She bme h 11 co figuration it is more difhcult to conclude with the presence of tail planes The full scale wake distribution in not w 11 k ow inthiscase The maximal blowing case (Cq3) represents only 0 15% of the test section flow rate Then we assumed Nat She blowing system have no i fluency on the tum I parameters pressure, velocity) It's true that the blowing jet ch m e. the local surface pressures Ed then the local friction do..- stream of the slot How ver we did not measure the hull resistance since this set up is dedicated to hyd oacoustic experiments The boundary Icyer cone ol concept c m work with c 10° Ogle inclined body with respect to the upsheam flow However this experimental co figuration ht. not been investigated yet

Representative terms from entire chapter:

tail planes