Prediction of cavitating propeller underwater radiated noise using RANS & DES-based hybrid method

نویسندگان

چکیده

This study focuses on the prediction of hydrodynamic and hydroacoustic performance a cavitating marine propeller in open water condition using Reynolds-averaged Navier-Stokes (RANS) Detached Eddy Simulation (DES) solvers. The effectiveness methods is investigated for recently introduced benchmark that belongs to research vessel ‘The Princess Royal’. main emphasis examine capabilities RANS DES solvers predicting presence sheet tip vortex cavitation (TVC). In numerical simulations flow, Schnerr-Sauer model based reduced Rayleigh-Plesset equation was used cavitation. An alternative Vorticity-based Adaptive Mesh Refinement (V-AMR) technique employed accurate realisation TVC propeller’s slipstream. calculations, porous Ffowcs Williams Hawkings (P-FWH) together with solver. results are compared those experimental data available from University Genova Cavitation Tunnel. show both successful modelling blades. However, extension solver found be insufficient comparison when method. due inherent limitations addition predictions, overall noise spectrums were an agreement discrepancies between low high-frequency region.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Underwater radiated noise from modern commercial ships.

Underwater radiated noise measurements for seven types of modern commercial ships during normal operating conditions are presented. Calibrated acoustic data (<1000 Hz) from an autonomous seafloor-mounted acoustic recorder were combined with ship passage information from the Automatic Identification System. This approach allowed for detailed measurements (i.e., source level, sound exposure level...

متن کامل

Self-noise prediction of a flat plate using a hybrid RANS-BEM technique

The self-noise generated by a flat plate immersed in low Mach number flow is predicted using a hybrid RANS-BEM technique. A Reynolds Averaged Navier-Stokes (RANS) simulation is performed of the turbulent flow over the flat plate. The predicted flow field data, such as mean velocity, turbulent kinetic energy and turbulent dissipation rate, is then processed using a statistical noise model and co...

متن کامل

Validation of underwater radiated noise predictions for a merchant vessel using full-scale measurements

Underwater radiated noise (URN) was previously primarily of interest in connection with the signature of naval vessels. Recently it has become increasingly relevant for other vessel types, such as cruise and merchant ships, due to a growing concern that marine life is affected by rising anthropogenic noise levels in the oceans. Shipping is a main contributor to those noise levels, with the cavi...

متن کامل

Using a Towed Array to Characterise the Underwater Acoustic Noise Radiated by the Tow-vessel

Ships and submarines radiate sound into the water as an inevitable by-product of the mechanical energy required to propel them. For military surface vessels the characteritics of the radiated underwater sound can be a critical factor in determining the vulnerability of the vessel to detection, and consequently considerable effort is put into characterising and minimising the radiation from thes...

متن کامل

AIAA 2004–2224 Prediction of Separated Flow Characteristics over a Hump using RANS and DES

Predictions of the flow over a wall-mounted hump are obtained using solutions of the Reynolds-averaged Navier-Stokes (RANS) equations and Detached-Eddy Simulation (DES). The upstream solution is characterized by a two-dimensional turbulent boundary layer with a thickness approximately half of the maximum hump thickness measured at a location about two chord lengths upstream of the leading edge....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Ships and Offshore Structures

سال: 2021

ISSN: ['1744-5302', '1754-212X']

DOI: https://doi.org/10.1080/17445302.2021.1907071