Numerical cavitation noise prediction of a benchmark research vessel propeller

Sezen, Savaş; Atlar, Mehmet; Fitzsimmons, Patrick; Sasaki, Noriyuki; Tani, Giorgio; Yılmaz, Naz; Aktas, Batuhan

doi:10.1016/j.oceaneng.2020.107549

Cited by 33 publications

(12 citation statements)

References 16 publications

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“…The Schnerr-Sauer model is based on the reduced Rayleigh-Plesset equation, and neglects the influence of bubble growth acceleration, viscous effects, and surface tension. Nonetheless, this model has provided good agreement with experimental sheet cavitation observations [14].…”

Section: Cavitation Modelsupporting

confidence: 71%

The Influence of Leading-Edge Tubercles on the Sheet Cavitation Development of a Benchmark Marine Propeller

Stark

Shi

2021

Volume 6: Ocean Engineering

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Cavitation is an undesirable phenomenon in the maritime industry as it causes damage to the propeller, degrading hydrodynamic performance and increasing the subsequent underwater radiated noise (URN). Therefore, mitigating cavitation on marine propellers is an important area of research in order to reduce carbon emissions emitted from the shipping industry and reduce the rate at which ocean ambient noise levels are increasing. The Humpback whale has provided inspiration to research in the fluid-structure interaction field due to the presence of leading-edge (LE) tubercles on the pectoral fins that allow it to perform acrobatic maneuvers to catch prey. This paper assesses the cavitation containment capability of the LE tubercles on a benchmark marine propeller in both heavy and light cavitating conditions using commercial code STAR-CCM+, unsteady incompressible Reynolds-averaged Navier Stokes (RANS) solver and the Schnerr-Sauer cavitation model to quantify the sheet cavitation present over a range of operating conditions. In summary, in heavy-cavitating conditions, a reduction in sheet cavitation with the inclusion of LE tubercles was observed to a maximum value of 2.75% in all operating conditions considered. A maximum improvement of 3.51% and 1.07% was predicted in propulsive thrust and hydrodynamic efficiency, respectively. In light cavitating conditions, although in some conditions a reduction in cavity volume was observed, this did not result in an improvement in hydrodynamic performance.

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Section: Cavitation Modelsupporting

confidence: 71%

The Influence of Leading-Edge Tubercles on the Sheet Cavitation Development of a Benchmark Marine Propeller

Stark

Shi

2021

Volume 6: Ocean Engineering

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“…A time-step of 1 degree of rotation per time step was used, approximately 1.85e -4 s, a time-step of between 0.5 and 2 degrees is recommended by ITTC (ITTC, 2014). Unstructured hexahedral mesh constituted the domain with previous literature showing excellent predictions with experimental data (Sezen et al, 2020).…”

Section: Numerical Simulation Methodologymentioning

confidence: 99%

A numerical investigation into the influence of bio-inspired leading-edge tubercles on the hydrodynamic performance of a benchmark ducted propeller

2021

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“…Bensow and Liefvendahl 2016;Lidtke et al 2019). Within this framework, the present authors also presented some preliminary results of the cavitating URN for the Princess Royal propeller in the low-frequency region of the noise spectrum using RANS solver replicating the free-field condition Sezen et al 2020). The detailed investigation of the preliminary results showed that the cavitation pattern on the propeller blades was generally overpredicted.…”

Section: Introductionmentioning

confidence: 93%

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

Sezen

Atlar

Fitzsimmons

2021

Ships and Offshore Structures

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

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Numerical cavitation noise prediction of a benchmark research vessel propeller

Cited by 33 publications

References 16 publications

The Influence of Leading-Edge Tubercles on the Sheet Cavitation Development of a Benchmark Marine Propeller

The Influence of Leading-Edge Tubercles on the Sheet Cavitation Development of a Benchmark Marine Propeller

A numerical investigation into the influence of bio-inspired leading-edge tubercles on the hydrodynamic performance of a benchmark ducted propeller

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

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