Tracking a Tip Vortex with Adaptive Vorticity Confinement and Hybrid RANS-LES

Feder, Dag-Frederik; Abdel‐Maksoud, Moustafa

doi:10.4236/ojfd.2016.64030

Cited by 8 publications

(6 citation statements)

References 12 publications

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“…As it is known, the RANS solvers mainly suffer from both the discretisation and modelling errors, which result in numerical diffusion in the numerical solutions (Feder and Abdel-Maksoud 2016). In particular, the excessive amount of turbulence intensity inside the vortex core is one of the deficiencies of the standard RANS solvers in terms of the accurate solution of the tip vortex flow (see Figure 6).…”

Section: Hydrodynamic Resultsmentioning

confidence: 99%

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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Section: Hydrodynamic Resultsmentioning

confidence: 99%

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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show abstract

“…As known, the RANS method suffers from both turbulence modelling and discretisation errors; thus, it produces a higher amount of numerical diffusion. Due to this fact, the vortical structures in the propeller's slipstream disappear rapidly (Feder and Abdel-Maksoud, 2016;Duraisamy and Baeder, 2006). The numerical dissipation of the vortices can be deemed to be directly related to grid resolution and mainly occurs due to the insufficient discretisation of the nonlinear convective term (Ramponi and Blocken, 2012).…”

Section: Visualisation Of Tip Vortex Extensionmentioning

confidence: 99%

Numerical investigation of marine propeller Underwater Radiated Noise using acoustic analogy part 1: The influence of grid resolution

et al. 2021

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“…DES or LES). Since the standard RANS models produce a higher amount of turbulent viscosity in the vortex cores, this consequently causes failure to stretch the extension of TVC when compared to advanced numerical models [82]. Nevertheless, the standard RANS models can be considered as a reliable, practical, and more computationally affordable approach for the prediction of TVC with adequate grid and boundary layer properties, particularly in the design stage [69].…”

Section: Figure 10 Efficiency Loss Due To Roughness At Different Advance Coefficientsmentioning

confidence: 99%

Effect of biofouling roughness on a marine propeller's performance including cavitation and underwater radiated noise (URN)

Sezen

Uzun

Ozyurt

et al. 2021

Applied Ocean Research

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Tracking a Tip Vortex with Adaptive Vorticity Confinement and Hybrid RANS-LES

Cited by 8 publications

References 12 publications

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

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

Numerical investigation of marine propeller Underwater Radiated Noise using acoustic analogy part 1: The influence of grid resolution

Effect of biofouling roughness on a marine propeller's performance including cavitation and underwater radiated noise (URN)

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