Self-propulsion estimations for a bulk carrier

Self-propulsion predictions are important to understand propeller–hull interactions and the communication between the main engine and the propulsion system. Experimental work encapsulates the core of self-propulsion estimations, but due to their high cost, initial calculations are made using empirical relations suggested by International Maritime Organization (IMO). However, these empirical relations may, at times, fail predicting some of the self-propulsion parameters. In this study, a specific example was chosen in which IMO recommendations fail to predict the wake fraction. Numerical results utilizing RANSE are used to solve for the hull-propeller system to assess their validity in contrast with the experiments. RANSE is implemented in two different methods. The first one is by simulating directly the hull-propeller system, while the second is the hull-virtual disk system, in which the propeller is only modelled as a circular disk. It was found out that numerical results are more robust with respect to empirical relations advised by IMO.

• Record URL:
  • https://doi.org/10.1080/17445302.2018.1544108
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17445302
• Supplemental Notes:
  • © 2018 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Gokce, Metin Kemal
  • Kinaci, Omer Kemal
  • Alkan, Ahmet Dursun
• Publication Date: 2019-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 656-663
• Serial:
  • Ships and Offshore Structures
  • Volume: 14
  • Issue Number: 7
  • Publisher: Taylor & Francis
  • ISSN: 1744-5302
  • Serial URL: http://www.tandfonline.com/tsos20

Subject/Index Terms

• TRT Terms: Bulk carriers; Hulls; Mathematical prediction; Propellers; Propulsion; Wakes
• Identifier Terms: International Maritime Organization
• Geographic Terms: Japan
• Subject Areas: Marine Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01718547
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 30 2019 10:09AM