Comparison between blade-element models of propellers

Gur, Ohad; Rosen, Alon

doi:10.1017/s0001924000002669

Cited by 84 publications

(29 citation statements)

References 22 publications

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“…One of the oldest numerical methods for propeller behavior ascertainment is Blade Element Theory (BET) [1,2]. The principle approach includes blade decomposition, force evaluation for each segment and subsequent integration across the entire blade.…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

Grid Type and Turbulence Model Influence on Propeller Characteristics Prediction

Sikirica

Čarija

Kranjčević

et al. 2019

JMSE

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“…While the accuracy of this method is slightly reduced, it's enough for the usual design state of propeller [4]. It has a good prediction of characteristics of local section of blade [5].…”

Section: The Choice Of Methods For Induced Loss Calculationmentioning

confidence: 99%

Research on Propeller Characteristics of Tip Induced Loss

Song¹,

Peng²

2016

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

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Abstract. In the design process of modern advanced propeller or prop fan, tip induced loss has been the foremost cause of power cost and its natural of difficulty in quantization also causes the deviation of power on the design point. Based on the former research and combined BEM method with the Tip-Loss Factor, this paper analyzed two different cases which had determined geometries. Then, we got the characteristics of the two on the tip induced loss and made some quantitative estimates on induced power loss. The results showed that the propeller tip induced loss characteristics was not only related to the actual geometric distribution, but also had the correlation with the specific operational conditions, especially advanced ratio and pitch angle, which had the most obvious impact on this loss characteristics. Finally, this study illustrates that this manner adopted can be used for the design, experiment and theoretical analysis of actual propeller under certain conditions.

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“…In the present case, a momentum/blade-element model is used. For regular flight conditions of propellers (uniform axial flow at high-enough advance ratios), the blade's cross sections do not experience stall and the momentum/blade-element model gives results of good accuracy [31]. The blade-element/momentum analysis can be extended to include the influence of rotation on the aerodynamic behavior of cross sections experiencing stall [32].…”

Section: Analysis Toolsmentioning

confidence: 99%

Optimizing Electric Propulsion Systems for Unmanned Aerial Vehicles

Gur

Rosen

2009

Journal of Aircraft

126

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Design of an electric propulsion system for an unmanned aerial vehicle incorporates various disciplines such as the propeller's aerodynamic and structural properties, characteristics of the electric system, and characteristics of the vehicle itself. This makes the design of this propulsion system a multidisciplinary design optimization task. Although the present propeller model is based on previous derivations that are described very briefly, new models of the electric motor and battery pack, which are based on examining existing products on the market, are described in more detail. The propeller model and a model of the electric system, together with various optimization schemes, are used to design optimal propulsion systems for a mini unmanned aerial vehicle for various goals and under various constraints. Important design trends are presented, discussed, and explained. Although the first part of the investigation is based on typical characteristics of the electric system, the second part includes a sensitivity study of the influence of variations of these characteristics on the optimal system design. = vehicle mass without the propulsion system P in = electric system input power P out = motor output power P out-max = maximum motor output power R = propeller radius R a = motor resistance r = radial coordinate S W = wing area= driver efficiency P = propeller efficiency P-ideal = ideal propeller efficiency S = electric system efficiency a = air density = maximal von Mises stress = rotational speed

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Comparison between blade-element models of propellers

Abstract: Figure 1. Cross-section of a blade-element of a propeller having straight blades, at axial flight.

Cited by 84 publications

References 22 publications

Grid Type and Turbulence Model Influence on Propeller Characteristics Prediction

Grid Type and Turbulence Model Influence on Propeller Characteristics Prediction

Research on Propeller Characteristics of Tip Induced Loss

Optimizing Electric Propulsion Systems for Unmanned Aerial Vehicles

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