Numerical investigation of hydrodynamic flow over an AUV moving in the water-surface vicinity considering the laminar-turbulent transition

Salari, Mostafa; Rava, Amin

doi:10.1007/s11804-017-1422-x

Cited by 32 publications

(11 citation statements)

References 19 publications

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“…Mostafapour et al 27 analyzed the effect of Reynolds number on the hydrodynamic parameters of an AUV. Salari and Rava 28 performed numerical simulations to calculate the hydrodynamic coefficients of the AUV operating near the free surface. They have considered the k − ω shear stress transport (SST) model for their numerical simulations.…”

Section: Numerical Techniquesmentioning

confidence: 99%

A review on the hydrodynamic characteristics of autonomous underwater vehicles

Panda

Mitra

Warrior

2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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Autonomous underwater vehicles play an essential role in geophysical data collection, deep water mining, seafloor mapping, ocean exploration, and in many other related activities starting from military to scientific applications. A detailed understanding of hydrodynamic characteristics will lead to better design, better control, and optimal path planning of autonomous underwater vehicles in the deepest corner of oceans. This article will provide a detailed review of the hydrodynamic characteristics of autonomous underwater vehicles, starting from different experimental techniques used in the analysis of hydrodynamic parameters, methods used for fixing the autonomous underwater vehicles in towing tank, instruments used for measurement of the hydrodynamic parameters. Furthermore, numerical methods employed in performing computational analysis, hydrodynamics-based shape optimization, studies on drag reduction, and finally a detailed list of turbulence models used in the computational fluid dynamics–related numerical simulations. The hydrodynamics-based optimal shape of the autonomous underwater vehicles, the best technique to predict the hydrodynamic parameters, and the best turbulence model for the computational fluid dynamics–based prediction of hydrodynamic parameters will be recommended. At last, the hydrodynamic characteristics of different bio-inspired autonomous underwater vehicles are discussed.

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Section: Numerical Techniquesmentioning

confidence: 99%

A review on the hydrodynamic characteristics of autonomous underwater vehicles

Panda

Mitra

Warrior

2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…Finally, according to Routh's stability criterion [30], the stability of the two shapes of the AUH in the horizontal and vertical planes is determined. Numerical simulation using computational fluid dynamics (CFD) software is widely used in research on the hydrodynamic characteristics of AUVs [14][15][16][17][18][19][20][21], such as the effects of free-stream turbulence, hydrodynamic force coefficients, hydrodynamic characteristics of AUV over seabed [22][23][24], etc. For the AUH, Chen et al applied both CFD results and the Routh stability criterion to identify the AUH motion stability [25].…”

Section: Introductionmentioning

confidence: 99%

Study on the Motion Stability of the Autonomous Underwater Helicopter

Lin

Guo

et al. 2022

JMSE

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The hydrodynamic performance of a novel hovering autonomous underwater vehicle, the autonomous underwater helicopter (AUH), with an original disk-shaped hull (HG1) and an improved fore–aft asymmetric hull (HG3), is investigated by means of computational fluid dynamics with the adoption of overlapping mesh method. The hydrodynamic performance of the two hull shapes in surge motion with variation of the angle of attack is compared. The results show that HG3 has less resistance and higher motion stability compared to HG1. With the angle of attack reaching 10 degrees, both HG1 and HG3 achieve the maximum lift-to-drag ratio, which is higher for HG3 compared to HG1. Furthermore, based on the numerical simulation of the plane motion mechanism test (PMM) and according to Routh’s stability criterion, the horizontal movement and vertical movement stability indexes of HG1 and HG3 (GHHG1=1.0, GVHG1=49.7, GHHG2=1.0, GVHG3=2.1) are obtained, which further show that the AUH has better vertical movement stability than the torpedo-shaped AUV. Furthermore, the scale model tail velocity experiment indirectly shows that HG3 has better hydrodynamic performance than HG1.

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“…They stated that as the immersion ratio decreases, the flow structure changes drastically. Salari and Rava [12] studied the hydrodynamics of an autonomous underwater vehicle numerically by employing the k-ω and k-ε turbulence models. They performed the study at various Froude numbers and for submergence depth ratios of 0.75 D, 1 D, 1.5 D, 2D, and 4 D. They stated that the free surface of water affects the drag coefficient of the vehicle and that this effect depends on its submergence depth and speed.…”

Section: Introductionmentioning

confidence: 99%