A CFD-based scaling approach for ducted propellers

Bhattacharyya, Anirban; Krasilnikov, Vladimir I.; Steen, Sverre

doi:10.1016/j.oceaneng.2016.06.011

Cited by 48 publications

(12 citation statements)

References 3 publications

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“…They are designed to improve the propulsion performances, taking advantage of different physical principles depending on the shape of the adopted nozzle. In this regard, they are classified as propulsion systems operating with either an accelerating or decelerating duct (e.g., [1][2][3][4][5][6]).…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Comparison of Ducted and Non-Ducted Propellers

Villa

Gaggero

Tani

et al. 2020

JMSE

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Ducted propellers are unconventional systems that are usually adopted for ship propulsion. These devices have recently been studied with medium-fidelity computational fluid dynamics code (based on the potential flow hypothesis) with promising results. However, these tools, even though they provide a good prediction of the forces and moments generated by the blades and the duct, are not able to provide insight into the flow field characteristics due to their crude flow approximations. On the contrary, modern high-fidelity viscous-based computational fluid dynamics codes could give a better description of the near and far-field flow of these particular devices. In the present paper, forces and the most significant features of the flow field around two ducted propellers are analyzed by means of both experimental and computational fluid dynamics approaches. In particular, accelerating and decelerating ducts are considered, and we demonstrate the ability of the adopted solver to accurately predict the performance and the flow field for both types. These results, in particular for the less-studied decelerating duct, designate CFD as a useful tool for reliable designs.

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Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Comparison of Ducted and Non-Ducted Propellers

Villa

Gaggero

Tani

et al. 2020

JMSE

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“…The authors concluded that both approaches have merit; BEM, thanks to its simplicity and robustness can be used for general blade design, whereas RANS usually provides better results, especially at lower advance ratios where viscous effects are pronounced, but at a higher computational cost. The coupled BEM-RANS model was investigated in [11,12] for cavitating and non-cavitating conditions, where RANS methods were used for viscous flow analysis, namely wake and velocity fields, with respect to propeller forces calculated using BEM.Purely RANS approach in the context of propeller performance predictions has been extensively assessed over the past decade with the two-equation k-ω turbulence model as the most frequent model of choice [13]. The studies by Bhattacharyya et al [13] and Krasilnikov et al [14] utilized unstructured grids and focused on current scaling approaches with SST k-ω turbulence model as a validation and development tool.…”

mentioning

confidence: 99%

“…Purely RANS approach in the context of propeller performance predictions has been extensively assessed over the past decade with the two-equation k-ω turbulence model as the most frequent model of choice [13]. The studies by Bhattacharyya et al [13] and Krasilnikov et al [14] utilized unstructured grids and focused on current scaling approaches with SST k-ω turbulence model as a validation and development tool.…”

mentioning

confidence: 99%

Grid Type and Turbulence Model Influence on Propeller Characteristics Prediction

Sikirica

Čarija

Kranjčević

et al. 2019

JMSE

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This paper evaluates the applicability of the hexahedral block structured grids for marine propeller performance predictions. Hydrodynamic characteristics for Potsdam Propeller Test Case (PPTC), namely thrust and torque coefficients, were determined using numerical simulations in two commercial solvers: Ansys Fluent and STAR-CCM+. Results were attained for hexahedral and tetrahedral hybrid grids equivalent in terms of cell count and quality, and compared to the experimental results. Furthermore, accuracy of Realizable k- ϵ and SST k- ω turbulent models when analyzing marine propeller performance was investigated. Finally, performance characteristics were assessed in cavitating flow conditions for a single advance ratio using Zwart–Gerber–Belamri and Schnerr and Sauer models. The resulting cavitation pattern was compared to cavity extents and shape noted during measurements. The results suggest that hexa and hybrid grids, in certain range of advance ratios, do provide similar results; however, for low and high ratios, structured grids in conjunction with Realizable k- ϵ model can achieve more accurate results.

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“…Since the propeller of RDT has a duct, K T is the sum of the thrust coefficient of the propeller and duct, while K Q is the sum of the torque coefficient of propeller and duct, as below [21,22]:…”

Section: Geometry Configurationmentioning

confidence: 99%

Analysis and Optimization of the Electromagnetic Performance of a Novel Stator Modular Ring Drive Thruster Motor

Song

Mao

et al. 2018

Energies

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Abstract:A rim driven thruster (RDT) is an integrated deep-sea motor thruster that has been widely studied. In order to improve the performance of RDT, a novel RDT motor with a modular stator is proposed in this paper. The electromagnetic performance of the new RDT motor is analyzed by the finite element method (FEM). The influence of structure parameters on the electromagnetic performance of the new RDT motor are analyzed in detail. It is shown that the effect of additional tooth width and pole arc coefficient on the electromagnetic performance of the stator modular RDT motor is significant. To obtain the optimal design with a maximum average electromagnetic torque and minimum torque fluctuation ratio, a multi-objective optimization design method combining the non-dominated sorting genetic algorithm II (NSGA-II), Kriging method and FEM is presented in this paper. A set of Pareto optimal solutions is obtained, and the optimal design point is selected from the Pareto fronts. Compared with the initial design, the average electromagnetic torque of the optimized model is improved by 16.591% and the fluctuation ratio is reduced to 3.18%.

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A CFD-based scaling approach for ducted propellers

Cited by 48 publications

References 3 publications

Numerical and Experimental Comparison of Ducted and Non-Ducted Propellers

Numerical and Experimental Comparison of Ducted and Non-Ducted Propellers

Grid Type and Turbulence Model Influence on Propeller Characteristics Prediction

Analysis and Optimization of the Electromagnetic Performance of a Novel Stator Modular Ring Drive Thruster Motor

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