A Theoretical Study of Body Drag in Subcritical Axisymmetric Flow

Myring, D. F.

doi:10.1017/s000192590000768x

Cited by 125 publications

(68 citation statements)

References 1 publication

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“…Unlike traditional Savonius turbine with semi-circular blades, this modified Savonius turbine has its blade shape generated from the Myring Equation [20]. The blade of a traditional Savonius turbine generates drag during the returning half cycle,  between π and 2π, which limits the efficiency of the turbine.…”

Section: The Modified Savonius Wind Turbine and Parameters Definitionmentioning

confidence: 99%

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Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes

et al. 2015

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Abstract:The Savonius wind turbine is a type of vertical axis wind turbine (VAWTs) that is simply composed of two or three arc-type blades which can generate power even under poor wind conditions. A modified Savonius wind turbine with novel blade shapes is introduced with the aim of increasing the power coefficient of the turbine. The effect of blade fullness, which is a main shape parameter of the blade, on the power production of a two-bladed Savonius wind turbine is investigated using transient computational fluid dynamics (CFD). Simulations are based on the Reynolds Averaged Navier-Stokes (RANS) equations with a renormalization group turbulent model. This numerical method is validated with existing experimental data and then utilized to quantify the performance of design variants. Results quantify the relationship between blade fullness and turbine performance with a blade fullness of 1 resulting in the highest coefficient of power, 0.2573. This power coefficient is 10.98% higher than a conventional Savonius turbine.

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Section: The Modified Savonius Wind Turbine and Parameters Definitionmentioning

confidence: 99%

“…Tian et al [19] carried out CFD simulations of Savonius with elliptical blades. This paper concerns a Savonius wind turbine that has novel blade shapes developed from the Myring Equation [20]. The effect of the blade fullness on the turbine performance is studied over a range of tip speed ratios.…”

Section: Introductionmentioning

confidence: 99%

Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes

et al. 2015

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“…The lengths of the three sections are 0.2 m, 0.7 m, and 0.4 m, respectively. In order to obtain a low-drag shape, the Myring Equation [17] is used to design the shape of the AUV nose. The Myring Equation is widely used in the design of AUV hulls [10].…”

Section: Geometry Configurationmentioning

confidence: 99%

Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method

et al. 2017

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This paper presents an optimization method for the design of the layout of an autonomous underwater vehicles (AUV) fleet to minimize the drag force. The layout of the AUV fleet is defined by two nondimensional parameters. Firstly, three-dimensional computational fluid dynamics (CFD) simulations are performed on the fleets with different layout parameters and detailed information on the hydrodynamic forces and flow structures around the AUVs is obtained. Then, based on the CFD data, a backpropagation neural network (BPNN) method is used to describe the relationship between the layout parameters and the drag of the fleet. Finally, a genetic algorithm (GA) is chosen to obtain the optimal layout parameters which correspond to the minimum drag. The optimization results show that (1) the total drag of the AUV fleet can be reduced by 12% when the follower AUV is located directly behind the leader AUV and (2) the drag of the follower AUV can be reduced by 66% when it is by the side of the leader AUV.

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“…The hull has been designed based on the Myring hull profile equations (Myring, 1976) which are known to produce minimum drag force for a given fineness ratio (l/d), that is, the ratio of its length to its maximum diameter. The shapes of the nose and tail sections are determined from (1) and (2), respectively:…”

Section: Hull Designmentioning

confidence: 99%

Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis

Joung¹,

Sammut²,

He³

et al. 2012

International Journal of Naval Architecture and Ocean Engineeri

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Autonomous Underwater Vehicles (AUVs) provide a useful means of collecting detailed oceano-graphic information. The hull resistance of an AUV is an important factor in determining the power requirements and range of the vehicle. This paper describes a procedure using Computational Fluid Dynamics (CFD) for determining the hull resistance of an AUV under development, for a given propeller rotation speed and within a given range of AUV velocities. The CFD analysis results reveal the distribution of the hydrodynamic values (velocity, pressure, etc.) around the AUV hull and its ducted propeller. The paper then proceeds to present a methodology for optimizing the AUV profile in orderto reduce the total resistance. This paper demonstrates that shape optimization of conceptual designs is possible using the commercial CFD package contained in Ansys™. The optimum design to minimize the drag force of the AUV was identified for a given object function and a set of constrained design parameters.

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A Theoretical Study of Body Drag in Subcritical Axisymmetric Flow

Cited by 125 publications

References 1 publication

Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes

Computational Fluid Dynamics Prediction of a Modified Savonius Wind Turbine with Novel Blade Shapes

Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method

Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis

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