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A comprehensive comparison of computational methods on propeller modelling of an AUV

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Ang, GH, Fan, S ORCID: 0000-0002-1865-9730, Jin, Y ORCID: 0000-0002-4336-2680, Lim, H, Chin, CKH ORCID: 0000-0002-3070-731X, Chai, S ORCID: 0000-0001-5186-4456 and Bose, N 2018 , 'A comprehensive comparison of computational methods on propeller modelling of an AUV', in Proceedings of the 2018 IEEE OES Autonomous Underwater Vehicle Symposium , IEEE, United States, pp. 1-6 .

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Abstract

The propeller of a self-propelled marine vehicle isthe key to understanding the hull-propeller interactions. Thepresence of a propeller not only provides the necessary propulsionforce, but also significantly modifies the flow field around themarine vehicle. This modification made to flow field influences thehydrodynamic loading experienced by the marine vehicle and thushas an impact on its maneuvering characteristics. There arevarious methods to represent the actions of a propeller for a rangeof marine applications within CFD. Actuator disc or virtual disc isone of the earliest and most commonly used approach. Thisapproach solves the body force generated as an equally distributedforce over a cylindrical disc while ignoring the geometry of thepropeller. Another method to evaluate the force of a propeller isdirect simulations, which replicate a propeller based on its truegeometry within CFD. This method utilizes the overset meshtechnology within CFD that enables the propeller to rotateindependently with respect to the background mesh. The presentpaper primarily used commercially available CFD softwarepackage, Star-CCM+ to investigate the accuracy and feasibility ofrepresenting the propeller of an Explorer Class AUV using theearlier mentioned methods. The solved advance ratio, and forwardvelocity from the two methods was benchmarked against openwatertrial data.

Item Type: Conference Publication
Authors/Creators:Ang, GH and Fan, S and Jin, Y and Lim, H and Chin, CKH and Chai, S and Bose, N
Keywords: autonomous underwater vehicle, control and estimation, path planning and navigation, CFD, AUV, propeller modelling, self-propulsion, virtual disc
Journal or Publication Title: Proceedings of the 2018 IEEE OES Autonomous Underwater Vehicle Symposium
Publisher: IEEE
Copyright Information:

Copyright 2018 IEEE

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