Pure Yaw Experiments on a Series of Hull Forms for an Underwater Vehicle: Hydrodynamic Observations and Analysis

Author(s):  
Farhood Azarsina ◽  
Christopher D. Williams ◽  
Manoj T. Issac
2015 ◽  
Vol 157 (A4) ◽  
pp. 205-218

"When an Autonomous Underwater Vehicle (AUV) is operating close to a moving submarine, the hydrodynamic interaction between the two vehicles can prevent the AUV from maintaining its desired trajectory. This can lead to mission failure and, in extreme cases, collision with the submarine. This paper outlines the transient interaction influence on the hydrodynamic coefficients of an AUV operating in close proximity and in relative motion to a larger moving submarine. The effects of relative motion on the interaction behaviour were investigated via two manoeuvres, i.e. the AUV overtaking and being overtaken by the submarine at different relative forward velocities and lateral distances. The results presented are from a series of Computational Fluid Dynamics (CFD) simulations on axisymmetric AUV and submarine hull forms, with validation of the CFD model carried out through scaled captive model experiments. The results showed that an AUV becomes less susceptible to the interaction influence when overtaking at speeds higher than the submarine. The implications of the interaction influence on the AUV’s ability to safely manoeuvre around the submarine are also discussed."


1970 ◽  
Vol 2 (1) ◽  
pp. 41-54 ◽  
Author(s):  
P Jagadeesh ◽  
K Murali

Minimum power requirement is one of the important design criteria for successful operation of underwater vehicles. CFD based prediction and estimation of power requirement is increasingly carried out in practice. However, reliable prediction depends on suitable turbulence models. This paper presents a comparative assessment of four low Reynolds number (low-Re) k- ε models for computation of hydrodynamic forces on underwater vehicle hull forms. The low-Re models are being considered more suitable for underwater axisymmetric bodies due to the following merits (i) they have no wall function approximations, (ii) they could compute low turbulence levels such as in the viscous sub-layer and (iii) they could account for the effect of damped turbulence. The low-Re models used in the present study are namely the models of Abe-Kondoh-Nagano (k- ε AKN), Chang-Hsieh-Chen (k- ε CHC), Launder-Sharma (k- ε LS), and Yang-Shih (k- ε YS). It has been found that the k- ε AKN low-Re model consistently provided superior performance in predicting the flow characteristics around underwater vehicle hull forms. Keywords: Axisymmetric bodies, autonomous underwater vehicle, CFD, damping functions, low Reynolds k- ε models, QUICK scheme doi: 10.3329/jname.v2i1.2029 Journal of Naval Architecture and Marine Engineering 2(1)(2005) 41-54


2021 ◽  
Vol 157 (A4) ◽  
Author(s):  
Z Q Leong ◽  
D Ranmuthugala ◽  
I Penesis ◽  
H D Nguyen

When an Autonomous Underwater Vehicle (AUV) is operating close to a moving submarine, the hydrodynamic interaction between the two vehicles can prevent the AUV from maintaining its desired trajectory. This can lead to mission failure and, in extreme cases, collision with the submarine. This paper outlines the transient interaction influence on the hydrodynamic coefficients of an AUV operating in close proximity and in relative motion to a larger moving submarine. The effects of relative motion on the interaction behaviour were investigated via two manoeuvres, i.e. the AUV overtaking and being overtaken by the submarine at different relative forward velocities and lateral distances. The results presented are from a series of Computational Fluid Dynamics (CFD) simulations on axisymmetric AUV and submarine hull forms, with validation of the CFD model carried out through scaled captive model experiments. The results showed that an AUV becomes less susceptible to the interaction influence when overtaking at speeds higher than the submarine. The implications of the interaction influence on the AUV’s ability to safely manoeuvre around the submarine are also discussed.


2020 ◽  
Vol 47 (4) ◽  
pp. 371-385
Author(s):  
Kaisheng Zhang ◽  
Chaofan Ma ◽  
Baocheng Zhang ◽  
Bo Zhao ◽  
Qiang Wang

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