CFD based form factor determination method
Journal article, 2021
The 1978 ITTC Power Prediction method is used to predict the propulsive power of ships through towing tank testing. The form factor approach and its determination in this method have been questioned. This paper investigates the possibility to improve the power predictions by introducing Combined CFD/EFD Method where the experimental determination of form factor is replaced by double body RANS computations applied for open cases KVLCC2 and KCS, including first-time published towing tank tests of KVLCC2 at ballast condition including an experimental uncertainty analysis specifically derived for the form factor. Computations from nine organisations and seven CFD codes are compared to the experiments. The form factor predictions for both hulls in design loading condition compared well with the experimental results in general. For the KVLCC2 ballast condition, majority of the form factors were under-predicted while staying within the experimental uncertainty. Speed dependency is observed with the application of ITTC57 line but it is reduced with the Katsui line and nearly eliminated by numerical friction lines. Comparison of the full-scale viscous resistance predictions obtained by the extrapolations from model scale and direct full-scale computations show that the Combined CFD/EFD Method show significantly less scatter and may thus be a preferred approach.
Experimental uncertainty analysis
Ship resistance
Form factor
Combined CFD/EFD Methods
CFD
Scale effects
Author
Kadir Burak Korkmaz
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
SSPA Sweden AB
Sofia Werner
SSPA Sweden AB
Nobuaki Sakamoto
National Maritime Research Institute
Patrick Queutey
Laboratoire de Recherche en Hydrodynamique, Energetique et Environnement Atmospherique
Ganbo Deng
Laboratoire de Recherche en Hydrodynamique, Energetique et Environnement Atmospherique
Gao Yuling
Shanghai Ship and Shipping Research Institute
Dong Guoxiang
Shanghai Ship and Shipping Research Institute
Kevin Maki
University of Michigan
Haixuan Ye
University of Michigan
Ayhan Akinturk
National Research Council Canada
Tanvir Sayeed
National Research Council Canada
Takanori Hino
Yokohama National University
Feng Zhao
China Ship Scientific Research Centre (CSSRC)
Tahsin Tezdogan
University of Strathclyde
Yigit Kemal Demirel
University of Strathclyde
Rickard Bensow
Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology
Ocean Engineering
0029-8018 (ISSN)
Vol. 220 108451Förbättrade prognosmetoder för sjöfarten
VINNOVA (2017-02953), 2017-11-15 -- 2020-12-31.
Subject Categories
Aerospace Engineering
Applied Mechanics
Vehicle Engineering
DOI
10.1016/j.oceaneng.2020.108451