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fuzzy logic material selection methodology for renewable ocean energy applications

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Date Issued:
2009
Summary:
The purpose of this thesis is to develop a renewable ocean energy material selection methodology for use in FAU's Ocean Energy Projects. A detailed and comprehensive literature review has been performed concerning all relevant material publications and forms the basis of the developed method. A database of candidate alloys has been organized and is used to perform case study material selections to validate the developed fuzzy logic approach. The ultimate goal of this thesis is to aid in the selection of materials that will ensure the successful performance of renewable ocean energy projects so that clean and renewable energy becomes a reality for all.
Title: A fuzzy logic material selection methodology for renewable ocean energy applications.
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Name(s): Welling, Donald Anthony.
College of Engineering and Computer Science
Department of Ocean and Mechanical Engineering
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Issued: 2009
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: viii, 144 p. : ill. (some col.)
Language(s): English
Summary: The purpose of this thesis is to develop a renewable ocean energy material selection methodology for use in FAU's Ocean Energy Projects. A detailed and comprehensive literature review has been performed concerning all relevant material publications and forms the basis of the developed method. A database of candidate alloys has been organized and is used to perform case study material selections to validate the developed fuzzy logic approach. The ultimate goal of this thesis is to aid in the selection of materials that will ensure the successful performance of renewable ocean energy projects so that clean and renewable energy becomes a reality for all.
Identifier: 435767614 (oclc), 227980 (digitool), FADT227980 (IID), fau:3463 (fedora)
Note(s): by Donald Anthony Welling.
Thesis (M.S.C.S.)--Florida Atlantic University, 2009.
Includes bibliography.
Electronic reproduction. Boca Raton, Fla., 2009. Mode of access: World Wide Web.
Subject(s): Oceanic submersibles -- Control systems
Acoustical engineering
Fuzzy algorithms
Renewable energy sources
Persistent Link to This Record: http://purl.flvc.org/FAU/227980
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU