Skip to main content

Advertisement

Log in

Numerical prediction of the fluctuating noise source of waterjet in full scale

  • Original article
  • Published:
Journal of Marine Science and Technology Aims and scope Submit manuscript

Abstract

Fluctuating noise sources of the full-scaled waterjet equipped on the transom of a trimaran at 18 kn are analyzed by hybrid method coupling Scale-Adaptive Simulation (SAS) of periodic pulsating pressure on blades with boundary element acoustic models (BEM) for acoustic field. Numerical self-propelled tests of the full-scaled trimaran–waterjet system using \(k - \varepsilon\) explicit algebraic Reynolds stress turbulent model (EARSM) with rotation-curvature correction are completed to output the non-uniform inflow into waterjet. The total propulsive efficiency is predicted satisfactorily, and local flow details are reasonably reproduced. Transient simulations of the fluctuating pressure of waterjet pump with non-uniform inflow at self-propelled rotating speed reveal that: pulsating pressure of the monitoring points located at the back of the rotor and before the stator presents the most dominant second blades passing frequency (BPF) line spectrum in frequency domain to reflect the rotor–stator interaction. When 0.95 times of span is used to represent the most heaviest loading section on rotor blades, the averaged pulsating pressure coefficient at BPF per unit chord is far more smaller than that on propeller blades. The acoustic highlights of the sound intensity distribution in the pump are located in the axial region between rotor with stator at BPF and its harmonics. The most-dominated tonal noise at 2BPF is 136.2 dB, and the total sound pressure level over the range of 1 kHz is 148.8 dB with scattering effect of the hull stern involved. Comparing to the propeller with a comparative absorbed power, smaller non-uniformity of inflow and smaller pulsating pressure benefits the waterjet about 16 dB quieter noise.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27
Fig. 28
Fig. 29

Similar content being viewed by others

Abbreviations

D :

Diameter of pump inlet (mm)

G :

Sound Green’s function

K :

Turbulent kinetic energy (m2/s2)

K p :

Non-dimensional fluctuated pressure coefficient

n s :

Specific speed of pump

n :

Propeller rotating speed (r/s)

p(r):

Sound pressure at any position r

P :

Braked power (kW)

Q :

Volume flow rate (m3/s)

T :

Thrust deduction coefficient

T :

Thrust of the waterjet (N)

v s :

Uniform incoming velocity, ship speed (m/s)

y + :

Dimensionless normal distance from the wall

α v :

Air volume fraction

μ t :

Turbulent viscosity

ω :

Turbulent vortex frequency

Ω :

Vorticity tensor, second invariant of velocity gradient

σ :

Sinkage coefficient

τ :

Retarded time, flow time-scale

δ :

Trim coefficient

ζ:

Flow non-uniform level

References

  1. Rourke RO (2012) Navy Littoral Combat Ship (LCS) program: background, issues, and options for congress. Congressional Research Service Report, USA

    Google Scholar 

  2. Wessel J (2004) Waterjet propulsion for 3500 ton corvette from Blohm + voss. In: Proceedings of Waterjet Propulsion 4, London, UK

  3. Berghult L (2001) Limiting propeller cavitation and other propeller induced acoustic noise. In: Proceedings of Conference of Signature Management-In Pursuit of Stealth, London

  4. Looijmans KNH, Parchen R, Hasenpflug H (1998) The acoustic source strength of waterjet installations. In: Proceedings of PRADS 98, pp 935–941

  5. Magnus K, Da-qing L (2001) Waterjet propulsion noise. In: Proceedings of International Conference of Waterjet Propulsion 3, Sweden

  6. Takai T (2010) Simulation based design for high speed sea lift with waterjets by high fidelity URANS approach. Master’s thesis, University of Iowa, USA

  7. Wärtsilä Corporation (2004) LIPS JETS: Waterjet propulsion solutions. Wärtsilä Propulsion Netherlands B. V, http://www.wartsila.com

  8. Rolls-Royce (2010) Benefiting from new KaMeWa waterjet designs. In depth, 15, pp 26–27

  9. Zangeneh M, Goto A, Takemura T (1996) Suppression of secondary flows in a mixed flow pump impeller by application of three-dimensional inverse design method. ASME J Turbomach 118:536–561

    Article  Google Scholar 

  10. Bonaiuti D, Zangeneh M, Aartojarvi R et al (2010) Parametric design of a waterjet pump by means of inverse design, CFD calculations and experimental analyses. ASME J Fluids Eng 132:031104-1–03110415

    Article  Google Scholar 

  11. Zangeneh M, Maillare M (2012) Optimization of fan noise by coupling 3D inverse design and automatic optimizer. In: Proceedings of the Fan2012, Senlis, France

  12. Bamberger K, Carolus T (2012) Optimization of axial fans with highly swept blades with respect to losses and noise reduction. In: Proceedings of the Fan2012, Senlis, France

  13. Ross D (1976) Mechanics of underwater noise. Pergamon Press, New York, pp 52–53, 288–298

  14. Merz S, Kinns R, Kessissoglou N (2008) Structural and acoustic responses of a submarine due to propeller forces transmitted to the hull via the shaft and fluid. In: Proceedings of the Acoustics 2008, Australia

  15. ANSYS corporation (2009) ANSYS CFX help documentations

  16. Caridi D (2008) Industrial CFD simulation of aerodynamic noise. PhD dissertation, University Degli Studi Di Napoli Federico II, Inedito

  17. Andersson N (2005) A study of subsonic turbulent jets and their radiated noise using large-eddy simulation. PhD dissertation, Chalmers University of Technology, Sweden

  18. Seol H, Suh JC, Lee S (2005) Development of hybrid method for the prediction of underwater propeller noise. J Sound Vib 288:345–360

    Article  Google Scholar 

  19. Shu-hao C (2012) Numerical simulation of steady and unsteady cavitating flows inside water-jets. PhD dissertation, The University of Texas at Austin, USA

  20. Watt GD (2006) ANSYS CFX–10 RANS normal force predictions for the series 58 model 4621 unappended axisymmetric submarine hull in translation. DRDC Atlantic Report, Canada

    Google Scholar 

  21. Bin J, Xian-wu L, Xin W et al (2011) Unsteady numerical simulation of cavitating turbulent flow around a highly skewed model marine propeller. ASME J Fluids Eng 133:011102

    Article  Google Scholar 

  22. Qiong-fang Y, Yong-sheng W, Zhi-hong Z (2012) Numerical simulation of tip vortex local flow of controllable pitch propeller. Chin J Hydrodyn 27(2):131–140 (in Chinese)

    Google Scholar 

  23. Wallin S, Johansson A (2002) Modeling streamline curvature effects in explicit algebraic Reynolds stress turbulence models. Int J Heat Fluid Flow 23(5):721–730

    Article  Google Scholar 

  24. Spalart PR, Shur M (1997) On the sensitization of turbulence models to rotation and curvature. Aerosp Sci Tech 1(5):297–302

    Article  MATH  Google Scholar 

  25. Egorov Y, Menter F (2007) Development and application of SST-SAS turbulence model in the DESIDER project. In: Proceedings of Second Symposium on Hybrid RANS-LES Methods, Corfu, Greece

  26. LMS International (2006) LMS Virtual Lab Acoustics Handbook: Numerical acoustics theoretical manual

  27. Kucukcoskun K (2012) Prediction of free and scattered acoustic fields of low-speed fans. PhD dissertation, Von Karman Institute for Fluid Dynamics

  28. Turkdogru N (2010) Validity of the point source assumption of a rotor for far-field acoustic measurements with and without shielding. PhD dissertation, Georgia Institute of Technology, USA

  29. Longo J, Stern F (2005) Resistance, sinkage and trim, wave profile, and nominal wake tests and uncertainty assessment for DTMB model 5512. Institute of Hydraulic Research, Iowa

    Google Scholar 

  30. Olivieri A, Pistani F, Avanzini A et al (2001) Towing tank experiments of resistance, sinkage and trim, boundary layer, wake, and free surface flow around a naval combatant INSEAN 2340 model. INSEAN, IIHR, Italy

    Google Scholar 

  31. Stern F, Wilson RV, Coleman H et al (2001) Verification and validation of CFD simulations. Part1-Comprehensive methodology. ASME J Fluids Eng 123:793–802

    Article  Google Scholar 

  32. Stern F, Longo J, Penna R et al (2000) International collaboration on benchmark CFD validation data for surface combatant DTMB model 5415. In: Proceedings of 23rd ONR Symposium on Naval Hydrodynamics, pp 17–22

  33. Qiong-fang Y, Yong-sheng W (2008) Research on the optimum blades number of the mixed flow pump based on CFD. In: Proceedings of International Conference on Waterjet Propulsion 5, RINA, London

  34. Morgut M, Nobile E (2011) Influence of the mass transfer model on the numerical prediction of the cavitating flow around a marine propeller. In: Proceedings of Second International Symposium on Marine Propulsors, Hamburg, Germany

  35. Qiong-fang Y, Yong-sheng W, Ming-min Z (2013) Scale effects on non-cavitation hydrodynamics and noise of highly-skewed propeller in wake flow. J Southeast Univ (English Ed) 29(2):162–169

    Google Scholar 

  36. Qiong-fang Y, Yong-sheng W, Ming-min Z (2013) Propeller cavitation viscous simulation and low frequency noise prediction with non-uniform inflow. Chin J Acoustics 32(2):144–162

    Google Scholar 

  37. Qiong-fang Y, Yong-sheng W, Wen-de Z (2011) Calculation of highly-skewed propeller’s load noise using BEM numerical acoustic method in frequency domain. Acta Armamentarii 32(9):1118–1125 (in Chinese)

    Google Scholar 

  38. Qiong-fang Y, Yong-sheng W, Ming-min Z (2011) Calculation of propeller’s load noise using LES and BEM numerical acoustics coupling method. In: Proceedings of 33rd International Conference on Boundary Elements and other Mesh Reduction Methods, Southampton, UK

  39. Olsson M (2008) Numerical investigation on the cavitating flow in a waterjet pump. Master thesis, Chalmers University of Technology, Sweden

Download references

Acknowledgments

This work is financially supported by the National Natural Science Foundation of China (Project Nos. 51009144) and Office of China Naval Research under contract No. 435517186. Sincere thanks to Researcher Fu-sheng Sui in Institute of Acoustics in Chinese Academy of Sciences and Professor De-cheng Wan in Shanghai Jiao Tong University for their generous guidance throughout the work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qiongfang Yang.

About this article

Cite this article

Yang, Q., Wang, Y. & Zhang, Z. Numerical prediction of the fluctuating noise source of waterjet in full scale. J Mar Sci Technol 19, 510–527 (2014). https://doi.org/10.1007/s00773-014-0265-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00773-014-0265-2

Keywords

Navigation