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

Joung, Tae-Hwan; Sammut, Karl; He, Fangpo; Lee, Seung-Keon

doi:10.3744/jnaoe.2012.4.1.044

Cited by 18 publications

(12 citation statements)

References 3 publications

(4 reference statements)

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“…R F can be estimated from the friction drag force coefficient, C F , given in (1) where C F is estimated by the conventional estimation 'ITTC-1957 model-ship correlation line' as given in (2).…”

Section: B Emperical Drag Estimation For the Udrmentioning

confidence: 99%

“…Conventionally, the tests for the prediction of drag, propulsion performance and motion of an underwater robot are carried out in a large model basin equipped with a towing carriage, and dynamometer, making the test process expensive. The development of commercial codes for CFD analysis now make it possible to predict drag and propulsion performance of a ship or submersible vehicles such as an underwater robot without using a physical model test basin [1].…”

Section: Introductionmentioning

confidence: 99%

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A study of the drag and propulsion performance, and motion analysis of an Underwater Disk Robot (UDR)

Joung

Choi

Tran

et al. 2012

2012 Oceans - Yeosu

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This paper shows a method for predicting the drag and propulsion performance (thrust, torque estimation) of an Underwater Disk Robot (UDR). The Computational Fluid Dynamics (CFD) software, ANSYS-CFX, was used to predict the drag and propulsion performance of the UDR before comparing the CFD results with the results of the empirical method (ITTC1957) and an experimental bollard test conducted within a model basin. Finally, heave and pitch motion simulation studies of the UDR were carried out with the CFD software. The CFD results reveal the distribution of hydrodynamic values (velocity, pressure, etc.) of the UDR for these motion studies.

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Section: B Emperical Drag Estimation For the Udrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A study of the drag and propulsion performance, and motion analysis of an Underwater Disk Robot (UDR)

Joung

Choi

Tran

et al. 2012

2012 Oceans - Yeosu

Self Cite

View full text Add to dashboard Cite

show abstract

“…Conventionally, the tests for the prediction of drag, propulsion performance and motion of an underwater vehicle are carried out in a large model basin equipped with a towing carriage, and dynamometer, making the test process expensive. The development of commercial codes for CFD analysis now make it possible to predict drag and propulsion performance of a ship or submersible vehicle such as an underwater robot without using a physical model test basin (Joung et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Verification of CFD analysis methods for predicting the drag force and thrust power of an underwater disk robot

Joung

Choi

Jung

et al. 2014

International Journal of Naval Architecture and Ocean Engineeri

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This paper examines the suitability of using the Computational Fluid Dynamics (CFD) tools, ANSYS-CFX, as an initial analysis tool for predicting the drag and propulsion performance (thrust and torque) of a concept underwater vehicle design. In order to select an appropriate thruster that will achieve the required speed of the Underwater Disk Robot (UDR), the ANSYS-CFX tools were used to predict the drag force of the UDR. Vertical Planar Motion Mechanism (VPMM) test simulations (i.e. pure heaving and pure pitching motion) by CFD motion analysis were carried out with the CFD software. The CFD results reveal the distribution of hydrodynamic values (velocity, pressure, etc.) of the UDR for these motion studies. Finally, CFD bollard pull test simulations were performed and compared with the experimental bollard pull test results conducted in a model basin. The experimental results confirm the suitability of using the ANSYS-CFX tools for predicting the behavior of concept vehicles early on in their design process.

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“…In their research, the water flow velocity was different from the glider that reached up to 2 knots. Later in a study, Joung et al [21] optimized the glider geometry to obtain a reduction in the drag coefficient and glider resistance. The hydrodynamic coefficients of a spherical underwater glider for three different types of motions have been investigated by Yu et al [22].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Hydrodynamic Properties of Alex Type Gliders

Divsalar

Shafaghat

Farhadi

et al. 2020

IJE

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This work presents a numerical Simulation of an underwater glider to investigate the effect of angle of attack on the hydrodynamic coefficients such as lift, drag, and torque. Due to the vital role of these coefficients in designing the controllers of a glider, and to obtain an accurate result, this simulation has been carried on at a range of operating velocities. The total length of the underwater glider with two wings is 900 mm with a 4-digits NACA0009 profile. The fluid flow regime is discretized and solved by computational fluid dynamics and finite volume method. Since the Reynolds number range for this study is in a turbulent flow state (up to 3.7e06), the κ-ω SST formulation was used to solve Navier-Stokes equations and continuity and the angles of attack ranging are from-8 to 8 degrees. The main purpose of this research is to study the effect of each of the dynamics parameters of glider motion such as velocity and angle of attacks on the hydrodynamic coefficients. Based on the results, the drag and lift coefficients are enhanced with increasing the angle of attack. In addition, the drag coefficient enhanced with increasing the velocity however, when the glider velocity is increased, the lift coefficient does not change significantly except at the highest angle of attack that decreases. The highest drag coefficient is 0.0246, which corresponds to the angle of attack of-8 and the Reynolds number of 3738184. In addition to simple geometry, the glider studied in this paper shows relatively little resistance to flow.

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

Cited by 18 publications

References 3 publications

A study of the drag and propulsion performance, and motion analysis of an Underwater Disk Robot (UDR)

A study of the drag and propulsion performance, and motion analysis of an Underwater Disk Robot (UDR)

Verification of CFD analysis methods for predicting the drag force and thrust power of an underwater disk robot

Numerical Simulation of Hydrodynamic Properties of Alex Type Gliders

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