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Volumetric image processing for predicting propeller roughness penalties
Citation Link: https://doi.org/10.15480/882.9302
Publikationstyp
Conference Paper
Date Issued
2024-04-04
Sprache
English
Author(s)
Port Said University (PSU), Port Said, Egypt
Port Said University (PSU), Port Said, Egypt
TORE-DOI
Start Page
405
End Page
415
Citation
8th International Symposium on Marine Propulsors (smp 2024)
Contribution to Conference
Publisher
Norwegian University of Science and Technology, Department of Marine Technology
ISBN
978-82-691120-5-4
Peer Reviewed
true
Roughness of marine propellers can profoundly affect the efficiency of maritime transportation, compliance with environmental regulations, and overall operational expenses. This study aims to develop a graphical user interface (GUI) program using volumetric image processing (VIP) techniques to predict marine propeller roughness values. A three-dimensional model of a Rubert gauge comparator has been created, which is employed for the assessment of roughness grades. The study covers surface roughness parameters, geometric features, and classification algorithms, all integrated into the GUI program. Roughness parameters, such as amplitude and spacing parameters, are extracted from the Rubert gauge's models. Geometric features, including Omnivariance, Anisotropy, Surface Variation, Eigenentropy, and Verticality, are calculated using CloudCompare software. The K-nearest neighbors (K-NN) classification algorithm is employed by the program to categorize previously unidentified propeller blade roughness based on data extracted from the Rubert comparator's specimen. Subsequently, it calculates the power increase and additional resistance due to the surface roughness of the propeller blade. Additionally, the program estimates the cost of propeller polishing. This multidisciplinary approach enhances the understanding and prediction of marine propeller roughness, aiding in efficient vessel operation and environmental compliance.
Subjects
Volumetric Image Processing
Geometrical Modeling
Propeller Surface Roughness
Comparators
DDC Class
620: Engineering
Publication version
publishedVersion
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Name
Mosaad-VolumetricImageProcessingForPredictingPropellerRoughnessPenaltie-1109-1-final.pdf
Type
Main Article
Size
2.64 MB
Format
Adobe PDF