Mosaad, Mohamed A.Mohamed A.MosaadHassan, Hussien M.Hussien M.Hassan2024-04-152024-04-152024-04-048th International Symposium on Marine Propulsors (smp 2024)978-82-691120-5-4https://hdl.handle.net/11420/46437Roughness 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.enhttp://rightsstatements.org/vocab/InC/1.0/Volumetric Image ProcessingGeometrical ModelingPropeller Surface RoughnessComparatorsEngineering and Applied OperationsConference Paper10.15480/882.930210.15480/882.930210.15480/882.9294Conference Paper