An effective method for comparing the turbulence intensity from LDA measurements and CFD predictions within a ship propeller jet

Lam, Wei-Haur; Robinson, D. J.; Hamill, Gerard; Johnston, Harold T.

doi:10.1016/j.oceaneng.2012.06.016

Cited by 27 publications

(9 citation statements)

References 14 publications

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“…The flow simulation of this paper was carried out by using the solution technique implemented in Fluent (v.6.3.26) (Lam, Robinson, Hamill, & Johnston, 2012). The details are as follows.…”

Section: Methodsmentioning

confidence: 99%

“…A mismatching hub can decrease the propulsive efficiency and cavitation performance significantly. In recent years, computational fluid dynamics (CFD) techniques have been employed more and more extensively for analyzing the performance of hydrodynamic systems (Carlton, Radosavljevic, & Whitworth, 2009;Carrica, Fu, & Stern, 2011;Dubbioso, Muscari, & Mascio, 2014;Lam, Hamill, & Robinson, 2013;Lam, Robinson, Hamill, & Johnston, 2012;Shamsi, Ghassemi, Molyneux, & Liu, 2014), designing propeller ESDs (Çelik, 2007;Lee, Bae, Kim, & Hoshino, 2014;Park, Jung, & Kim, 2005) and simulating the cavitation (Rafael et al, 2015;Singhal, Athavale, Li, & Jiang, 2002;Watanabe, Kawamura, Yoshihisa, Maeda, & Rhee, 2003;Zhu & Fang, 2012). The International Towing Tank Conference (ITTC) discussed applications of the CFD method to calculating the hydrodynamic performance of propellers and believed that it could be used to obtain the open-water performance and pressure distribution of a propeller accurately (Salvatore, Streckwal, & Terwisga, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Experimental and numerical analyses of the hydrodynamic performance of propeller boss cap fins in a propeller-rudder system

Sun

Wang³

et al. 2016

Engineering Applications of Computational Fluid Mechanics

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This paper presents the simulated and experimental results of propeller-rudder systems with propeller boss cap fins (PBCFs) and analyzes the hydrodynamic performance of PBCFs in propellerrudder systems. The purpose is to study the impact of PBCFs on the hydrodynamic performance of rudders. Hydrodynamic experiments were carried out on propeller-rudder systems with PBCFs in a cavitation tunnel. The experimental energy-saving effect of the PBCF without a rudder was 1.47% at the design advance coefficient J = 0.8. The numerical simulation was based on the Navier-Stokes equations solved with a sliding mesh and the SST (Shear Stress Transfer) k-ω turbulence model. After the grid independence analysis, the flow fields of an open-water propeller with and without a PBCF were compared, then the efficiencies of the propulsion systems including different rudders and the thrust coefficient K r of rudders were analyzed. The results indicate that the installation of a PBCF increases the resistance of the rudder, which results in a reduction in the energy-saving effect of the PBCF. At the design advance coefficient, the energy-saving effect of the PBCF with an ordinary rudder and a twisted rudder decreases from 1.47% to 1.08% and 1.16%, respectively; thus, it is important to factor in the rudder of a propulsion system when evaluating the energy-saving effects of PBCFs . ARTICLE HISTORY

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“…The flow simulation of this paper was carried out by using the solution technique implemented in Fluent (v.6.3.26) (Lam, Robinson, Hamill, & Johnston, 2012). The details are as follows.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental and numerical analyses of the hydrodynamic performance of propeller boss cap fins in a propeller-rudder system

Sun

Wang³

et al. 2016

Engineering Applications of Computational Fluid Mechanics

View full text Add to dashboard Cite

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“…It can be seen from the figure that the speed of the water body due to rotation on the propeller surface is the highest on the outflow plane, and then it begins to decay. In 2012, Lam [9][10] systematically summarized the flow characteristics of the propeller jet without boundary effects by using physical experiments and numerical simulation methods, analyzed the three components of the jet velocity (axial, radial, and tangential) and discussed the attenuation and distribution of turbulence intensity in a propeller jet. Although previous studies have studied the effect of the propeller jet shape and the bottom boundary on the initial flow velocity, the effect of the bottom boundary on the propeller jet shape has not been specifically studied.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of propeller jet field based on Star-ccm+

Li¹

2020

AJSRE

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During the ship's voyage, the propeller jet affects the movement of silt at the bottom of the bed. To research the influence of the bottom boundary on the propeller jet field, this paper takes the standard propeller DTRC4119 propeller as the research object and uses the CFD software Star-ccm+ to carry out a numerical simulation of the propeller jet under uniform flow. The flow velocity distribution of the jet under four operating conditions is mainly analyzed, including the axial velocity, tangential velocity and radial velocity of the jet. The results show that the distance between the propeller and the boundary does not affect the magnitude and distribution of the velocity on the initial plane but affects the shape of the axial velocity and the velocity on the central axis in the development zone; The closer to the bottom boundary, the greater the disturbance of tangential velocity and radial velocity, the peak value of tangential velocity will be affected and changed from central symmetry of velocity to unanimous trend earlier. The radial velocity contributes less to the overall velocity and can be ignored.

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“…Hamill et al (2004) found the core assumptions of this theory inadequately described the process involved. More recently Lam et al (2012a) described semi-empirical methods for predicting the efflux velocity of the main axial component of the flow, based on a range of experiments with one test propeller, while Lam et al (2012b) extended the discussion by including measurements of turbulence intensity.…”

Section: Introductionmentioning

confidence: 99%

Three-dimension efflux velocity characteristics of marine propeller jets

Hamill¹,

Ryan²,

Kee³

2015

Proceedings of the ICE - Maritime Engineering

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Determining the efflux velocity in a ship's propeller jet is the key to calculating the velocity at any other location within the diffusing jet. Current semi-empirical equations used to calculate the magnitude of the efflux velocity have been based on studies that employed a limited range of propeller characteristics. This paper reports on the findings of an experimental investigation into the magnitude of the efflux velocities of the jets produced by four different propellers, where the characteristic of the blade geometry has been chosen to extend the range of applicability of the outcomes. Measurements of velocity have been made using a three-dimensional laser Doppler anemometry system, with the test propellers operating at a range of rotational speeds that bound typical operational values.Comparisons are made with current predictive theories and, to aid engineers in the design of marine infrastructure, methods are presented by which the three-dimensional efflux velocity components, as well as the resultant efflux value, can be more accurately determined.

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An effective method for comparing the turbulence intensity from LDA measurements and CFD predictions within a ship propeller jet

Cited by 27 publications

References 14 publications

Experimental and numerical analyses of the hydrodynamic performance of propeller boss cap fins in a propeller-rudder system

Experimental and numerical analyses of the hydrodynamic performance of propeller boss cap fins in a propeller-rudder system

Numerical simulation of propeller jet field based on Star-ccm+

Three-dimension efflux velocity characteristics of marine propeller jets

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