Abstract
This paper presents a comparative study of computational fluid dynamics (CFD) and analytical and semiempirical (ASE) methods applied to the prediction of the normal force and moment coefficients of an autonomous underwater vehicle (AUV). Both methods are applied to the bare hull of the vehicle and to the body-hydroplane combination. The results are validated through experiments in a towing tank. It is shown that the CFD approach allows for a good prediction of the coefficients over the range of angles of attack considered. In contrast with the traditional ASE formulations used in naval and aircraft fields, an improved methodology is introduced that takes advantage of the qualitative information obtained from CFD flow visualizations.
Original language | English |
---|---|
Pages (from-to) | 538-549 |
Number of pages | 12 |
Journal | IEEE Journal of Oceanic Engineering |
Volume | 33 |
Issue number | 4 |
DOIs | |
Publication status | Published - 31 Oct 2008 |
Funding
Manuscript received December 21, 2007; revised June 09, 2008; accepted August 11, 2008. Current version published February 06, 2009. This work was supported in part by the FAPESP foundation, São Paulo, Brazil and by the FCT-ISR/IST Pluriannual Program with POS C/FEDER funds, the Maya Project with the AdI, and the Indo-Portuguese Cooperation Program. Associate Editor: H. Maeda. E. A. de Barros and J. L. D. Dantas are with the Department of Mechatronics, University of Sao Paulo, CEP 05508-900, São Paulo, SP, Brazil (e-mail: [email protected]; [email protected]). A. M. Pascoal is with the Institute for Systems and Robotics (ISR) and the Department of Electrical Engineering and Computers, Instituto Superior Tec-nico (IST), 1049-001 Lisbon, Portugal (e-mail: [email protected]). E. de Sá is with the National Institute of Oceanography (NIO), Dona Paula, Goa 403 004, India (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/JOE.2008.2004761
Keywords
- autonomous underwater vehicle (AUV)
- computational fluid dynamics (CFD)
- hydrodynamic derivatives
- maneuvering
- underwater vehicles
- hydrodynamic
- vehicle dynamics
- marine vehicle
- analytical-semiempirical methods