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fuzzy logic material selection methodology for renewable ocean energy applications
| Title: | A fuzzy logic material selection methodology for renewable ocean energy applications. |
 181 views 41 downloads |
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| Name(s): |
Welling, Donald Anthony. College of Engineering and Computer Science Department of Ocean and Mechanical Engineering |
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| 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. |
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| Subject(s): |
Oceanic submersibles -- Control systems Acoustical engineering Fuzzy algorithms Renewable energy sources |
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| Persistent Link to This Record: | http://purl.flvc.org/FAU/227980 | |
| Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
| Host Institution: | FAU |
