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Verification and validation of CFD based form factors as a combined CFD/EFD method
RISE Research Institutes of Sweden, Safety and Transport, Maritime department. Chalmers University of Technology, Sweden. (SSPA)ORCID iD: 0000-0001-7136-7932
RISE Research Institutes of Sweden, Safety and Transport, Maritime department. (SSPA)ORCID iD: 0000-0002-6266-2320
Chalmers University of Technology, Sweden.ORCID iD: 0000-0002-8208-0619
2021 (English)In: Journal of Marine Science and Engineering, E-ISSN 2077-1312, Vol. 9, no 1, article id 75Article in journal (Refereed) Published
Abstract [en]

Predicting the propulsive power of ships with high accuracy still remains a challenge. Well established practices in the 1978 ITTC Power Prediction method have been questioned such as the form factor approach and its determination method. This paper investigates the possibility to improve the power predictions by the introduction of a combined CFD/EFD Method where the experimental determination of form factor is replaced by double body RANS computations. Following the Quality Assurance Procedure proposed by ITTC, a best practice guideline has been derived for the CFD based form factor determination method by applying systematic variations to the CFD set-ups. Following the verification and validation of the CFD based form factor method in model scale, the full scale speed-power-rpm relations between large number of speed trials and full scale predictions using the CFD based form factors in combination with ITTC-57 line and numerical friction lines are investigated. It is observed that the usage of CFD based form factors improves the predictions in general and no deterioration is noted within the limits of this study. Therefore, the combination of EFD and CFD is expected to provide immediate improvements to the 1978 ITTC Performance Prediction Method. © 2021 by the authors. 

Place, publisher, year, edition, pages
MDPI AG , 2021. Vol. 9, no 1, article id 75
Keywords [en]
Best practice guidelines, Combined CFD/EFD methods, Form factor, Numerical friction line, Ship resistance
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:ri:diva-57279DOI: 10.3390/jmse9010075Scopus ID: 2-s2.0-85099596846OAI: oai:DiVA.org:ri-57279DiVA, id: diva2:1616380
Note

Funding details: VINNOVA, 2017-02953; Funding text 1: This research was funded by VINNOVA, the Swedish Governmental Agency for Innovation Systems, grant 2017-02953, and the computational resources provided by Chalmers Center for Computational Science and Engineering (C3SE).

Available from: 2021-12-02 Created: 2021-12-02 Last updated: 2024-02-15Bibliographically approved

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Korkmaz, Kadir BurakWerner, Sofia

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