Numerical analysis of control surface effects on AUV manoeuvrability

Dantas, João Lucas Dozzi; Barros, Ettore A. de

doi:10.1016/j.apor.2013.06.002

Cited by 42 publications

(18 citation statements)

References 22 publications

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“…Geometric details of the AUV rudders (NACA0015 profiles) are shown in Figure 2, and are based on [13] and on the Pirajuba AUV studied by [3], which has ratio L t ⁄D = 7.44, similar the ratio of AUV analyzed in this paper (L t ⁄D = 10.00).…”

Section: The Geometrymentioning

confidence: 79%

“…The application of AUV's has been growing by the constants technological advances, mainly in electronics and robotics, allowing the execution of high precision missions, the reduction in the costs of design and operation, and the increase in embedded equipments quality, as well as for new technologies of batteries and power management, enabling the increase in autonomy, maintenance and safety in operations with this class of vehicles [3].…”

Section: Introductionmentioning

confidence: 99%

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On the Study of Autonomous Underwater Vehicles by Computational Fluid-Dynamics

Sousa¹,

Lima²,

Batista³

et al. 2020

OJFD

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Autonomous Underwater Vehicles (AUV's) are considered as advanced classes of vehicles, capable of performing pre-established missions without physical communication with the ground or human assistance. The research and development of this type of vehicles have been motivated, due to its excellent characteristics, ideal to the military, scientific and industrial sectors. Thus, the objective of this paper is to study fluid flow behavior past over AUV's, without and with control surfaces (rudders), by Computational Fluid-Dynamics (CFD), aiming to obtain information about the impact of the operating depth and control surfaces on the vehicle's hydrodynamics, in order to help researchers and designers of this class of vehicles. Results of the drag coefficient, pressure, velocity and streamlines distribution around the vehicles are presented and analyzed.

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Section: The Geometrymentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

On the Study of Autonomous Underwater Vehicles by Computational Fluid-Dynamics

Sousa¹,

Lima²,

Batista³

et al. 2020

OJFD

View full text Add to dashboard Cite

show abstract

“…An interesting observation is also that while older work utilised methods capable of accounting for transition to turbulence at least to a certain extent [11], [18], [8], the majority of the more recent papers relied on solving Reynolds Averaged NavierStokes (RANS) equations using models recognised for their inability to tackle this complex physical phenomenon [19] with only a handful of exceptions [20]. A promising direction in addressing this issue is the use of more advanced flow modelling techniques, such as Large Eddy Simulation, which do not model but resolve a large proportion of turbulence.…”

Section: Underwater Glider Designmentioning

confidence: 99%

Hydrodynamic Design of Underwater Gliders Using k-k<formula> <tex>$_L$</tex> </formula>-<formula> <tex>$\omega$</tex> </formula> Reynolds Averaged Navier–Stokes Transition Model

Lidtke

Turnock

Downes

2017

IEEE J. Oceanic Eng.

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Abstract-Hydrodynamic design of an underwater glider is an act of balancing the requirement for a streamlined, hydrodynamically effective shape and the consideration of the practical aspects of the intended operational envelope of the vehicle, such as its ability to deploy a wide range of sensors across the water column. Key challenges in arriving at a successful glider design are discussed and put them in the context of existing autonomous underwater vehicles (AUV) of this type. The design cycle of a new vehicle shape is then described. The discussed AUV will operate both as an buoyancy-propelled glider and a flight-style, propeller-driven submersible, utilising its large size to deliver substantial scientific payloads to remote locations to perform environmental monitoring, seabed survey, and exploration for sub-sea oil, gas and material deposits. Emphasis is put on using computational fluid dynamic (CFD) methods capable of predicting laminar-turbulent transition of the flow in order to estimate the performance of candidate designs and thus inform and guide the evolution of the vehicle. A range of considered shapes are therefore described and their hydrodynamic characteristics predicted using CFD are summarised. A final shape for the new glider is then proposed. This is then subject to an in-depth flowfield analysis which points out how natural laminar flow may be used as a means of drag reduction without compromising the practical aspects of the design, such as its ability to carry sufficient payload. Finally, the obtained data are used to project the expected glide paths, as well as give preliminary estimates of its range. These show the benefits of minimising the vehicle drag, as well as highlight the possible trade-offs between maximising speed and endurance of the AUV.

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“…While the concept of applying modern numerical techniques to study the flow past autonomous underwater vehicles is not new [10], [12], [13], [14], [15], [16], [17], most of the recent work has been focused on AUVs operating at Reynolds numbers higher than those typically seen by underwater gliders. An interesting observation is also that while older work utilised methods capable of accounting for transition to turbulence at least to a certain extent [11], [18], [8], the majority of the more recent papers relied on solving Reynolds Averaged Navier-Stokes equations using models recognised for their inability to tackle this complex physical phenomenon [19] with only a handful of exceptions [20]. In the present work the k L − k T − ω model by Walters and Cokkjat [21] is utilised in order to overcome the latter difficulty and provide more realistic performance estimates for the new underwater glider design.…”

Section: Introductionmentioning

confidence: 99%

Assessment of underwater glider performance through viscous computational fluid dynamics

Lidtke

Turnock

Downes

2016

2016 IEEE/OES Autonomous Underwater Vehicles (AUV)

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Abstract-The process of designing an apt hydrodynamic shape for a new underwater glider is discussed. Intermediate stages include selecting a suitable axi-symmetric hull shape, adding hydrofoils and appendages, and evaluating the performance of the final design. All of the hydrodynamic characteristics are obtained using computational fluid dynamics using the kT − kL − ω transition model. It is shown that drag reduction of the main glider hull is of crucial importance to the ultimate performance. Suggested steps for achieving this are the encouragement of natural laminar flow, integration of sensors into the streamlined hull shape, and sound operational practice.

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Numerical analysis of control surface effects on AUV manoeuvrability

Cited by 42 publications

References 22 publications

On the Study of Autonomous Underwater Vehicles by Computational Fluid-Dynamics

On the Study of Autonomous Underwater Vehicles by Computational Fluid-Dynamics

Hydrodynamic Design of Underwater Gliders Using k-k<formula> <tex>$_L$</tex> </formula>-<formula> <tex>$\omega$</tex> </formula> Reynolds Averaged Navier–Stokes Transition Model

Assessment of underwater glider performance through viscous computational fluid dynamics

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