Application of an Artificial Neural Network to the Selection of a Maximum Efficiency Ship Screw Propeller (CROSBI ID 165499)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Matulja, Dunja ; Dejhalla, Roko ; Bukovac, Ozren
engleski
Application of an Artificial Neural Network to the Selection of a Maximum Efficiency Ship Screw Propeller
The idea of the present study is to apply the advantages of neural networks to the choice of an optimum ship screw propeller as an introduction to more complex ship design problems. The neural network was created and trained to provide the characteristics of the maximum efficiency propeller. To train the network, data regarding the blade number, advance speed, delivered power, rate of revolution, diameter, pitch ratio, and expanded area ratio as well as thrust and efficiency were set as inputs and outputs. The testing of the network proved its efficiency, which makes it a reliable tool for the preliminary screw propeller selection.
Propellers
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