NDLI: Artificial neural networks in estimating marine propeller cavitation

Content Provider	IEEE Xplore Digital Library
Author	Schizas, C.N.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus (Schizas, C.N.)
Abstract	Cavitation in marine propellers can be a serious problem that may result in severe deterioration in performance. This is particularly important in heavily loaded propellers, commonly encountered in small craft. Efforts have been made to generate polynomials that fit experimental data on propeller performance and hence to facilitate the propeller selection procedures (Blount and Hubble, 1981). These polynomial fits are not accurate in capturing the performance of propellers, and also do not account for cavitating conditions. In the present work, neural networks have been developed that predict the performance of marine propellers in all tested conditions, including cavitation. The USN-series of experimental data (Denny et al, 1989) were applied on different neural network architectures and learning parameters, aiming at establishing a near optimum setup. The results of the networks are superior to those of the polynomial fit, and give an acceptable accuracy even in the cavitating conditions, thus enabling a naval architect/engineer to improve on the propeller selection process.
Sponsorship	IEEE IEEE Neural Networks Soc. (NNS) Int. Neural Network Soc
Starting Page	1848
Ending Page	1852
File Size	365187
Page Count	5
File Format	PDF
ISBN	0780372786
ISSN	10987576
DOI	10.1109/IJCNN.2002.1007800
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Intelligent networks Propellers Polynomials Testing Neural networks Blades Torque Computer science Ear
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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