University of Strathclyde
A study on the efficient numerical analysis for the prediction of full-scale propeller performance using CFD
Abstract
dc:description.abstractIn Computational Fluid Dynamics (CFD) simulations, limited number of full-scale studies with ship propellers have been conducted due to the limitation of computational resources and computation time. There are two methods for efficient full-scale numerical analysis; (1) a method of using large non-dimensional wall-normal distances (y +) and (2) a method of applying a virtual fluid at a model scale. However, there are lack of study on the validity of using large y+ in full-scale propeller simulations and applying virtual fluids.Thus, the aim of this study is to investigate the effect of different wall y+ values in a real fluid and the virtual fluid concept to predict full-scale propeller performance using CFD. For these investigations, the commercial CFD tool, STAR-CCM+, was used to predict the propeller open water (POW) performance of the KRISO benchmark propeller (KP505) in model and full-scale. The results presented include the pressures, friction, streamlines, and tip vortex formation characteristics.The findings of this research study support the use of a small value of wall y+ (i.e., y+<1) for the model scale simulations, but the effect of the wall y+ is negligible in full-scale. This study also demonstrates that the similarity requirements for the advance coefficient and Reynolds number could be satisfied simultaneously in full-scale by using the virtual fluid properties without any need to conduct more computationally demanding full-scale simulations with real fluid.
Degree
thesis:*- Name dc:type.qualificationname
- mphil
- Level dc:type.qualificationlevel
- masters-pg
- Grantor dc:publisher.institution
- University of Strathclyde
- Year dc:date.issued
- 2022
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kim, Kwanwoo
- Advisors dc:contributor.advisor
-
- Atlar, Mehmet
- Demirel, Yigit Kemal
Identifiers
dc:identifier.*- Identifier
- T16221
- Author Identifier
- 201954217
- OAI identifier oai:identifier
- oai:strathclyde:gm80hv86w