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Investigation of the erosion risk and fluctuating pressure according to ESD designs using OpenFOAM
Citation Link: https://doi.org/10.15480/882.9334
Publikationstyp
Conference Paper
Date Issued
2024-04-04
Sprache
English
Author(s)
Maritime Research Institute, HD Hyundai Heavy Industries Co., Ltd., Ulsan, Korea
Maritime Research Institute, HD Hyundai Heavy Industries Co., Ltd., Ulsan, Korea
Maritime Research Institute, HD Hyundai Heavy Industries Co., Ltd., Ulsan, Korea
TORE-DOI
Start Page
479
End Page
486
Citation
8th International Symposium on Marine Propulsors (smp 2024)
Contribution to Conference
Publisher
Norwegian University of Science and Technology, Department of Marine Technology
ISSN
2414-6129
ISBN
978-82-691120-5-4
Peer Reviewed
true
To enhance the fuel efficiency of large commercial vessels, various types of Energy Saving Devices (ESDs) are employed. Among these devices, the duct-type ESD with fins is the most widely used device in shipyards. However, it is crucial to prioritize the consideration of cavitation performance during the design stage of this ESD, as it significantly impacts propeller cavitation.
In this study, the open-source program OpenFOAM was used to investigate the behavior of cavitation, fluctuating pressure and erosion index according to the design variables of the duct-type ESD, called Hi-PSD® (HD Hyundai Pre-Swirl Duct), for large container carriers. The resulting database obtained from numerical analysis using OpenFOAM allowed the analysis of correlations between these factors and design variables. This database was then employed to train a deep learning algorithm capable of predicting the effects on fluctuating pressure and erosion index induced by the change of Hi-PSD® geometry. Consequently, this trained deep learning algorithm can be utilized to predict fluctuating pressure and erosion index based on Hi-PSD® design parameters.
Through this research, a comprehensive design process of Hi-PSD® for large commercial vessels is established for predicting cavitation performance, encompassing fluctuating pressure and erosion risk index.
In this study, the open-source program OpenFOAM was used to investigate the behavior of cavitation, fluctuating pressure and erosion index according to the design variables of the duct-type ESD, called Hi-PSD® (HD Hyundai Pre-Swirl Duct), for large container carriers. The resulting database obtained from numerical analysis using OpenFOAM allowed the analysis of correlations between these factors and design variables. This database was then employed to train a deep learning algorithm capable of predicting the effects on fluctuating pressure and erosion index induced by the change of Hi-PSD® geometry. Consequently, this trained deep learning algorithm can be utilized to predict fluctuating pressure and erosion index based on Hi-PSD® design parameters.
Through this research, a comprehensive design process of Hi-PSD® for large commercial vessels is established for predicting cavitation performance, encompassing fluctuating pressure and erosion risk index.
Subjects
ESD
Marin Propeller
Cavitation
Hull pressure fluctuation
OpenFOAM
DDC Class
620: Engineering
Publication version
publishedVersion
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Name
Kwon-InvestigationOfTheErosionRiskAndFluctuatingPressureAccordingToEs-1153-1-final.pdf
Type
Main Article
Size
1.28 MB
Format
Adobe PDF