Propeller Loads of Large Commercial Vessels at Crash Stop

Similar documents
Analysis of Crashback Forces Compared with Experimental Results

Influence of Flow Transition on Open and Ducted Propeller Characteristics

Large Eddy Simulation of Crashback in Marine Propellers

A Study on Effects of Blade Pitch on the Hydrodynamic Performances of a Propeller by Using CFD

Drag and Torque on Locked Screw Propeller

Efficient Prediction of Crashback Performance of Controllable Pitch Propellers

Numerical Analysis of Unsteady Open Water Characteristics of Surface Piercing Propeller

ADVANCES IN FULL-SCALE WAKE-FIELD PREDICTIONS AND THE IMPLICATIONS FOR THE PROPELLER DESIGN

Performance Analysis and Design of Vertical Axis Tidal Stream Turbine

Numerical and Experimental Characterization of a CP Propeller Unsteady Cavitation at Different Pitch Settings

Study on Extrapolation Method for Self-Propulsion Test with Pre-Swirl Device *

Full scale thruster performance and load determination based on numerical simulations

Numerical Investigation of the Impact of SES-Waterjet Interactions and Flow Non-uniformity on Pump Performance

Potsdam Propeller Test Case (PPTC) Test Case Description

CHAPTER 4 OPTIMIZATION OF COEFFICIENT OF LIFT, DRAG AND POWER - AN ITERATIVE APPROACH

HYDRODYNAMIC PREDICTION OF THE DUCTED PROPELLER BY CFD SOLVER

Hydro-Structure Analysis of Composite Marine Propeller under Pressure Hydrodynamic Loading

Prediction of Propeller Blade Stress Distribution Through FEA

Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza

Numerical Simulation of a Complete Francis Turbine including unsteady rotor/stator interactions

Propeller Analysis Using RANS/BEM Coupling Accounting for Blade Blockage

ENGR 4011 Resistance & Propulsion of Ships Assignment 4: 2017

ZIG-ZAG MANEUVER SIMULATION BY CFD FOR A TANKER LIKE VESSEL

CFD Analysis of a Propeller Flow and Cavitation

Research on Prediction of Ship Manoeuvrability

Calculation of propeller s load noise using LES and BEM numerical acoustics coupling methods

Deliverable D.6.1. Application of CFD tools to the development of a novel propulsion concept

On the advanced extrapolation method for a new type of podded propulsor via CFD simulations and model measurements

VERIFICATION AND VALIDATION OF RESISTANCE AND PROPULSION COMPUTATION

Effects of the advance ratio on flow structures around marine propeller

Numerical Analysis of Azimuth Propulsor Performance in Seaways: Influence of Oblique Inflow and Free Surface

Analysis of Unsteady Propeller Blade Forces by RANS

Numerical Prediction Of Torque On Guide Vanes In A Reversible Pump-Turbine

Reliability assessment of ship powering performance extrapolations using Monte Carlo methods

Numerical Investigation of the Hydrodynamic Performances of Marine Propeller

Yiran Su 1, Seungnam Kim 1, Weikang Du 1, Spyros A. Kinnas 2, Mikael Grekula 3, Jan Hallander 3, Da- Qing Li 3

FLOW CHARACTERISTICS IN A VOLUTE-TYPE CENTRIFUGAL PUMP USING LARGE EDDY SIMULATION

Rate-Dependent Hydroelastic Response of Self-Adaptive Composite Propellers in Fully Wetted and Cavitating Flows

CFD Analysis of Scale Effects on Conventional and Tip-Modified Propellers

arxiv: v1 [physics.flu-dyn] 10 Jan 2018

A New Implementation of Vortex Lattice Method Applied to the Hydrodynamic Performance of the Propeller-Rudder

The Calculations of Propeller Induced Velocity by RANS and Momentum Theory

VIBRATION ANALYSIS IN SHIP STRUCTURES BY FINITE ELEMENT METHOD

COMPARATIVE STUDY BETWEEN FLOWS AROUND SPHERE AND POD USING FINITE VOLUME METHOD

Effects of the advance ratio on the Evolution of Propeller wake

DETERMINING OPTIMUM GEOMETRY FOR A BOW THRUSTER PROPELLER

Numerical analysis of propeller exciting force in oblique flow

Performance characteristics of turbo blower in a refuse collecting system according to operation conditions

Modeling of turbulence in stirred vessels using large eddy simulation

NUMERICAL SIMULATION OF THE UNSTEADY AERODYNAMICS IN AN AXIAL COUNTER-ROTATING FAN STAGE

The Floating Kuroshio Turbine Blades Geometry Design with Consideration of the Structural Strength

Prediction of Propeller Performance Using Quasi-Continuous Method

CHAPTER 7 NUMERICAL MODELLING OF A SPIRAL HEAT EXCHANGER USING CFD TECHNIQUE

Performance of a Vertical Axis Wind Turbine under Accelerating and Decelerating Flows

ITTC Propeller Benchmark

Maneuvering predictions in the early design phase using CFD generated PMM data

Offshore Hydromechanics Module 1

DYNAMIC POSITIONING CONFERENCE. October 13-14, Thrusters. Voith Schneider Propeller - An Efficient Propulsion System for DP Controlled Vessels

Cavitation of a Propeller and Influence of a Wake Equalizing Duct

Calculation of the Flow around the KVLCC2M Tanker

Flow-Induced Vibration Modeling

Machinery Requirements for Polar Class Ships

International Journal of Modern Trends in Engineering and Research e-issn No.: , Date: 2-4 July, 2015

Large-eddy simulations for wind turbine blade: rotational augmentation and dynamic stall

Numerical study of the effects of trailing-edge bluntness on highly turbulent hydro-foil flows

COMPUTATIONAL FLOW ANALYSIS THROUGH A DOUBLE-SUCTION IMPELLER OF A CENTRIFUGAL PUMP

Analysis of Counter-Rotating Wind Turbines

Wake fraction and thrust deduction during ship astern manoeuvres

DYNAMIC STRESS MEASUREMENT OF CENTRIFUGAL COMPRESSOR IMPELLER AND STUDY FOR STRENGTH CRITERIA BASED ON CORRELATION BY UNSTEADY CFD

LARGE EDDY SIMULATION OF FLOW OVER NOZZLE GUIDE VANE OF A TRANSONIC HIGH PRESSURE TURBINE

Performance Investigation of Ducted Aerodynamic Propulsors

Industries & Applications

Makoto Uchida. Yuuki Matsumoto

Computational Analysis of Marine-Propeller Performance Using Transition-Sensitive Turbulence Modeling

Side-View Mirror Vibrations Induced Aerodynamically by Separating Vortices

Performance Prediction of the Francis-99 Hydroturbine with Comparison to Experiment. Chad Custer, PhD Yuvraj Dewan Artem Ivashchenko

A STUDY ON THE FRACTURE A SIROCCO FAN IMPELLER

Scaling of Tip Vortex Cavitation Inception for a Marine Open Propeller

CFD with OpenSource software

Flow analysis in centrifugal compressor vaneless diffusers

Implementation of an LES mixed subgrid model for the numerical investigation of flow around a circular cylinder at Re = 3,900 and 140,000

Efficient runner safety assessment during early design phase and root cause analysis

STATOR/ROTOR INTERACTION

ITTC Propeller Benchmark

Effect of Propeller Tip Clearance on Hull Pressure Pulses

Resistance and Propulsion

Dimensions of propulsion shafts and their permissible torsional vibration stresses

Numerical investigation of the flow instabilities in centrifugal fan

APPLICATION OF ENERGY SAVING FINS ON RUDDERS

Experimental and Numerical Analysis of the Roll Decay Motion for a Patrol Boat

CFD DESIGN OF A GENERIC CONTROLLER FOR VORTEX-INDUCED RESONANCE

Performance evaluation of composite marine propeller using L 8 orthogonal array

Steady and unsteady flow inside a centrifugal pump for two different impellers

A simplified method for calculating propeller thrust decrease for a ship sailing on a given shipping lane

Numerical Investigation of Scale Effect for Propeller Boss Cap Fins

Prediction of induced vibrations for a passenger - car ferry

Validation of Computational Fluid-Structure Interaction Analysis Methods to Determine Hydrodynamic Coefficients of a BOP Stack

RELIABILITY-BASED DESIGN AND OPTIMIZATION OF SELF-TWISTING COMPOSITE MARINE ROTORS

On the Use of the γ Re θ Transition Model for the Prediction of the Propeller Performance at Model-Scale

Fluid structure interaction dynamic analysis of a mixed-flow waterjet pump

Transcription:

Second International Symposium on Marine Propulsors smp 11, Hamburg, Germany, June 2011 Propeller Loads of Large Commercial Vessels at Crash Stop J.W. Hur, H. Lee, B.J. Chang 1 1 Hyundai Heavy Industries, Co., Ltd., Ulsan, Korea ABSTRACT Propeller failure would occur at crash stop due to obscure reasons and become a dispute between propeller makers and ship owners. Hence, the study on the hydrodynamic propeller loads at crash stop is conducted in order to evaluate the structural safety of the propeller. For the large commercial vessels, the torques of propeller shaft are measured at crash stop in the sea trial and compared with results of the Wageningen B-series charts and the commercial CFD code. The compared results show that the hydrodynamic loads are fluctuated at initial reverse rotation of the propeller but that the stresses on the blade at initial reverse rotation are lower than at maximum reverse rotation. Based on these comparison results, the CFD methodology with the quasi-steady assumption is suggested to evaluate the structural safety of the propeller blade in initial design stage. Keywords Propeller, Crash stop, CFD 1 INTRODUCTION The crash stop astern is used to avoid navigating emergencies, such as collision and ground. During the astern condition, the propeller rotates reversely while ship still moves forward. In addition, hydrodynamic loads on propeller are changed dramatically due to the rapid change of propeller rotating direction. Hence, at crash stop astern, structural safety against the propeller failure could be significant. During the crash stop astern, the direction of the inflow on the propeller blade is varied with change of the propeller RPM and the ship speed, as shown in Figure 1. From normal operation condition (A) to final astern condition (E) before ship stopping, the inflow direction is changed and the roles of leading edge and trailing edge are reversed. Furthermore, since the induced flow by the propeller is in opposite direction of the inflow, the large vortex ring is generated due to the strong interaction between both flows. Astern (C) ~ (D) Astern (E) Free Wheeling (B) ~ (C) Figure 1: Inflow on blade section Normal Operation (A) * Solid Line : Flow Direction Dash Line : Force Dircetion To accurately predict hydrodynamic loads at crash stop condition, an expensive computation cost is required. Jang et al (2010) studied crash back of marine propulsors using Large Eddy Simulation (LES). Chang et al (2008) performed LES and structural analysis. Black et al (2009) measured flow field during a crash back using particle image velocimetry. The propeller operated in the crash back range is tested, and in addition, structural analysis results are conducted. The maximum value at crash back is about 2 times higher than the mean root strain. In general, the structural safety should be evaluated in the design stage, and therefore cheaper methodologies to analyze hydrodynamic loads are more applicable. Hence, in this study, although Reynolds-Averaged Navier Stokes equation (RANS) is not suitable to predict high fluctuated hydrodynamic loads especially in the large vortical flow, the procedures to evaluate the structural safety of the propeller blade at the crash stop, based on RANS, are suggested after studying the data measured in ship trials and comparing with results of Wageningen B-Series chart. To understand the characteristics of the hydrodynamic loads at crash stop astern and to determine the calculation conditions for the CFD application, from data measured in sea trial, Fast Fourier Transform (FFT) and wavelet analysis are performed.

2 SUBJECT SHIP AND CRASH STOP SITUATION First of all, 20,000 m 3 LPG Carrier is selected as the subject ship to understand the hydrodynamic characteristics at the crash stop. The main particulars of the subject ship are shown in Table 1. Ballast draft condition Length between perpendiculars [m] 147.00 Breadth [m] 25.50 Draft (Fwd.) [m] 5.21 Draft (Aft.) [m] 6.74 Number 1 Diameter [m] 5.7 Number of blades 4 Mean Pitch Ratio 0.7545 Tip Skew 20.83 Total Skew 24.50 Direction of rotation RIGHT-HAND Section type NACA Table 1: Main particulars of subject ship The revolution of propeller is obtained by tachometer and the shaft torque is measured by a torque gauge with sampling rate 2.56 khz. In parallel, ship speed is measured by speed log. Figure 2 shows the fluctuation of the stress measured through torque gauge data on propeller shaft, according to the change of the revolution. Figure 3 shows change of the propeller revolution and ship speed synchronously. fluctuated in transition state 3). Then relatively constant revolution continues in full astern 4). In general, the durations of each state depend on engine power and ship size. Figure 3: Measured astern RPM and ship speed Figure 2: Measured stress data on propeller shaft As shown in these figures, the ship is in transition state 1) as soon as the engine stops. Then, the free wheel state 2) continues for a while to avoid excessive loads on the shaft and engine. When engine RPM reaches below a critical level generally defined by the engine maker, the propeller starts reverse rotation and the revolution would be 3 FREQUENCY ANALYSIS OF SEA TRIAL RESULTS The characteristics of highly fluctuated stress measuring the torque shown in Figure 2 are studied using signal analysis techniques. First, FFT analysis is conducted on the data. As shown in Figure 4, the amplitude around 4 Hz is significant. To verify the change of above characteristics according to change of the state, the Morlet wavelet transformation is applied. As shown in Figure 5, the component around 4Hz is dominant around t = 50 and 320 sec., regardless of direction of propeller revolution, and this component is concluded to be independent on hydrodynamic loads. And the propeller revolution of each time is about 60 RPM and -60 RPM respectively. Thus, the vibration about 4Hz component is induced by structural vibration.

Frequency (Hz) Based on above conclusion, the stress signal is filtered using low pass filter as shown in Figure 6, for comparison with analysis results. In this study, the stress during the transient state 3) is focused because the stress level is negligible during free wheel state and constant during the full astern state 4). For determination of analysis conditions, the ship speed and propeller revolution are also fitted using regression analysis, as shown in Figure 7. Figure 4: FFT result (amplitude spectrum) of stress data 10.0 8.0 6.0 4.0 2.0 0.0 0.0 100.0 200.0 300.0 400.0 Time (sec.) Figure 5: Wavelet analysis of stress data Figure 7: Fitted RPM and ship speed Figure 6: Filtered stress data (above : global, below : details at astern situation) 4 ANALYSIS WITH WAGENINGEN B-SERIES CHART As mentioned in the previous chapter, the purpose of this study is to set up the procedure of the structural safety assessment for the propeller at the crash stop. Hence, the applicability of existing series chart data is studied. For the propeller performance at 4-quadrant operating condition, Wageningen B-series chart is well published. This result is taken by interpolating B-series 4-quadrant chart data with EAR and P/D; and non-uniformity of inflows is not considered in using this series chart. Based on the fitted ship speed and propeller revolution in Figure 7, the inflow angle on the propeller blade at 70% propeller radius is determined as shown in Figure 8. As the propeller begins to reverse revolution, the inflow angle is changed dramatically and becomes constant soon. The duration of angle change is shorter than that of Transient State 3).

In this approach, the effect of ship wake fraction is studied. The ship wake fraction is used from predicted value in towing tank tests. For more accurate results, the ship wake fraction needs to change according to the ship speed; but the used wake value w is mean effective wake value at approach condition (w=0.315) without considering velocity distribution in this study. In Figure 9, the torque data taken by Wageningen B-series chart are shown and compared with the filtered torque converted from the stress measured in sea trial. From this comparison, the effect of ship wake is remarkable, and consideration of ship wake may give better agreement with measured data at initial transient states. However, this effect becomes small in the latter states. This result is regarded as an effect of the change of ship speed. At initial state, the ship speed is relatively high and the effect of ship wake is believed to be remarkable. The difference of propeller blade shape and flow unsteadiness can be considered as reasons for the discrepancy between measured and predicted data. The propeller installed at the subject ship has relatively large skew in comparison with Wageningen B-series propeller. This effect of the blade skew may be remarkable especially at reverse rotation. As another reason, flow unsteadiness also is different between sea trial and series chart tests. The flow around the propeller is highly fluctuated and has unsteady characteristics during the crash stop in sea trial. But the prediction with series chart is performed with steady inflow. Despite this discrepancy, the series charts give relatively high torque values, marginal in evaluation of structural safety. Figure 9: The torque data taken by Wageningen B-series 5 CFD SIMULATIONS As mentioned in the introduction, the flow around propeller at the crash astern situation is highly unsteady due to interaction between the inflow and flow induced by propeller action. Also, ship speed and propeller revolution vary with time. Therefore, in applying CFD, transient methodologies in combination with computationally heavy turbulence, models like LES are required; and a large computation domain including the ship may give us realistic results. However, so far, the computational costs of these approaches are too expensive to be frequently used in design stages. Fortunately, prediction using the series chart data agrees well with the measured data in acceptable tolerance for structural safety. Also, recently, RANS solver is used widely in predicting propeller performance, due to the advantage of computing power. Krasilnikov et al (2009) and Müller (2009) predict propeller open water performance using Moving Reference Frame (MRF). Therefore, in this paper, usefulness of RANS approaches assuming uniform inflow is studied for the propeller in the crash stop situation. 5.1 Numerical Method The commercial solver Star-CCM+ is used for numerical simulation. It supports unstructured mesh generation and RANS solver. The governing equations of the method to be solved are below: Figure 8: Inflow angle for transient state Ui 0 x i Ui Ui p 1 Ui U l ( uiul ) t x x x R x l i l N l (1) (2) where U is velocity vector; p = pressure; i R = Reynolds N number; u i u = Reynolds stresses. Reynolds stresses are determined from turbulence model. For turbulence modeling, Spalart-Allmaras model based on single transport equation is used.

Kt, 10Kq, 5.2 Grid and Boundary Conditions Computational domain and boundary conditions are shown in Figure 10. The computational domain has (360 degrees)/(number of blade) section, due to the periodicity in the circumferential direction. It is consisted of the propeller and shaft. Assuming that operation condition is the uniform inflow, numerical simulation is conducted in MRF model. The computational domain was defined of propeller diameter D. The computational domain regions are: the length of inlet and outlet region 7.5D, radius of domain 5D. Number of mesh at Blade part Number of mesh at Domain part 139,545 118,118 Total Number of mesh 257,663 Min. grid spacing 0.001 D Table 2 Information of computation grid 5.3 Results The analysis of propeller open water test is performed for subject propeller. The difference between calculated K T, K Q and model test results is slightly in the overall rage of the advance ratio as shown at Figure 12. 0.7 0.6 EXP CFD 0.5 0.4 Figure 10: Computational domain and boundary conditions Velocity inlet boundary condition is specified in front of propeller. At radial and lateral direction, pressure outlet boundary condition is specified. Periodic boundary condition is specified at circumferential direction. Computational grid for simulation is meshed by polyhedral. For more accurate solutions, prism mesh is adopted to grid at surface of propeller. Surface mesh pattern is shown in Figure 11. The size of domain and mesh fineness is determined after checking the effect on the simulated results. Table 2 shows information of grid. 0.3 0.2 0.1 0 0 0.2 0.4 0.6 0.8 J Figure 12 Propeller Open Test The crash stop astern simulation is conducted in 2 ways. One is steady analysis, another is unsteady (transient) analysis. Through filtering the sea trial results, the operating conditions are determined for the propeller RPM and ship speed, which is specified to be a function of time in transient analysis. For each analysis, the effect of ship wake fraction is studied like series chart application. The calculated torque is compared with the measured torque in Figure 13 and the corresponding thrust is shown in Figure 14. After propeller started to reverse, torque of propeller has peak point about 5-10 sec later. The torque of propeller is gradually increased and is seem to reach at full astern. The effect of ship wake fraction is remarkable even in the latter state as well as the initial state. In initial state, consideration of ship wake fraction relatively agrees well with the measured data, but shows large discrepancy at the latter state. It is due to the change of ship speed as mentioned in previous chapter. Steady analysis does not represent the detailed peak level of torque, but overall trend of the steady analysis is similar to that of transient analysis. Figure 11: Computational grid for CFD calculation

makes large vortex ring including propeller. The vortex ring is simulated at each methodology but the size of vortex, which is affect the torque of propeller, is different according to analysis methodology. (a) t = 315.3 + 0.0 sec Figure 13: Torque data taken by CFD (b) t = 315.3 + 5.0 sec (c) t = 315.3 + 10.0 sec Figure 14: Thrust data taken by CFD (d) t = 315.3 + 20.0 sec (a) (b) (c) (d) Figure 15: Stream line and axial velocity contour at 0.7 r/r (t=315.3 + 5 sec.: (a) steady, (b) transient, t=315.3 +40 sec.: (c) steady, (d) transient) To verify the discrepancy between steady and transient analysis, the flow patterns around blade are compared. Figure 15 shows the stream line around the propeller blade at 0.7r/R at initial reverse rotation and full astern of the propeller. As mentioned in the introduction, the difference of direction between inflow and induced flow (e) t = 315.3 + 40.0 sec Figure 16: -Cp for steady condition (left: back side, right: face side)

(a) t = 315.3 + 0.0 sec analysis are similar at 315.3 + 40.0 sec, which is full astern condition, as like stream line. Structural analysis can be performed by using these results. Since hydrodynamic loads on propeller blade at full astern condition are higher than the loads at initial reverse rotation, the numerical simulation at full astern condition is significant in the point of view of structural analysis. For these reasons, the steady analysis at full astern is more appropriate to the evaluation of structural analysis. (b) t = 315.3 + 5.0 sec (c) t = 315.3 + 40.0 sec Figure 17: -Cp for transient condition (left: back side, right: face side) As mentioned above, the stream line at 0.7r/R shows the effect of magnitude of simulated vortex. The magnitude of simulated vortex for steady analysis is larger than that of transient analysis. These differences of vortex magnitude affect the stream line around the propeller and change the propeller angle of attack as shown in Figures 15 (a) and (b). By comparing the results of sea trial and analysis, steady analysis seems to be under-predicted at initial reverse rotation of the propeller. Figure 15 (c) and (d) show the stream line around the propeller blade at 0.7r/R at full astern. The difference of the magnitude of simulated vortex between steady and transient analysis is smaller than initial reverse rotation because the vortex for steady and transient analysis is fully developed at full astern condition. Thus, the difference of the propeller angle of attack between steady and transient analysis at full astern condition is slight. As per these results, the steady analysis is efficient and gives good agreement for full astern, while the transient analysis is consumed large computing time. Pressure distributions on blade surface of steady and transient analysis are shown in Figures 16 and 17. Figures 16 and 17 show that the role of leading edge and trailing edge are exchanged. It can be seen the -Cp difference between steady and transient analysis at 315.3 + 5.0 sec, which is at initial reverse rotation of the propeller. On the other hand, pressure distributions of steady and transient 6 CONCLUSIONS In this study, the prediction of loads on the propeller at crash stop is performed in order to evaluate the structural safety of the propeller. The prediction is conducted by using Wageningen B-series chart and CFD. To determine operation conditions for crash stop, the sea trial result is analyzed by FFT and wavelet analysis. From these results, the ship speed and propeller RPM are also modeled by using regression analysis for operation conditions. The prediction which uses the Wageningen B-series chart data corresponds with the measured data at an acceptable level for structural safety, in spite of the difference of propeller blade shape and flow steadiness. But structural evaluation cannot be performed by the results of series chart since this application cannot predict the distribution of pressure on the propeller blade. Hence, CFD is used for the prediction of the loads acting on the propeller. The numerical simulation is performed at the crash stop through RANS solver for steady and transient analysis. It can be seen that the difference between steady and transient simulation is large at initial reverse rotation, but it is reduced at full astern condition. In regard to this characteristic, the steady analysis cannot simulate the detailed peak level of torque, but transient analysis can. Since the stresses on the propeller blade at the full astern condition are higher than at initial reverse rotation, numerical simulation at full astern is significant in structural analysis. The steady analysis at full astern is more useful methodology than transient analysis, because consumed computing time for steady analysis is shorter than transient analysis. The results of the simulation for both steady and transient analyses at full astern are in good agreement with the sea trial results. Through comparing sea trial results and CFD results, it is suggested to evaluate the structural analysis of the propeller at initial design stage with the steady analysis at full astern condition. REFERENCES Black, S. & Swithenbank, S. (2009). Analysis of Crashback Forces Compared with Experimental Results. First International Symposium on Marine Propulsors, Trondheim, Norway.

Chang, P. A., Ebert, M., Young, Y.L., Liu, Z., Mahesh, K., Jang, H. & Shearer, M. (2008). Propeller Forces and Structural Response due to Crashback. 27th Symposium on Naval Hydrodynamic, Seoul, Korea. Daubechies, I. (1988). Orthonormal bases of compactly supported wavelets. Commun. on Pure and Appl. Math. 41, pp. 909-996. IMO. (2002). Standard for Ship Manoeuvrability. IMO Resolution MSC 137(76). Jang, H. & Mahesh, K. (2010). Large Eddy Simulation of Marine Propulsors in Crashback. 28th Symposium on Naval Hydrodynamic, Pasadena, California. Krasilnikov, V., Sun, J. & Halse, K. H. (2009). CFD investigation in scale effect on propellers with different magnitude of skew in turbulent flow. First international symposium on marine propulsors, Trondheim, Norway. Müller, S-B., Moustafa, A-M. & Hibert, G. (2009). Scale effects on propellers for large container vessels. First international symposium on marine propulsors, Trondheim, Norway. Newland, D. E. (1993). An introduction to random vibrations, spectral & wavelet analysis. Addison Wesley Longman Limited.