fuzzy logic material selection methodology for renewable ocean energy applications

File
Publisher
Florida Atlantic University
Date Issued
2009
Description
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.
Note

by Donald Anthony Welling.

Language
Type
Form
Extent
viii, 144 p. : ill. (some col.)
Identifier
435767614
OCLC Number
435767614
Additional Information
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.
Date Backup
2009
Date Text
2009
Date Issued (EDTF)
2009
Extension


FAU
FAU
admin_unit="FAU01", ingest_id="ing4276", creator="creator:SPATEL", creation_date="2009-09-15 09:39:50", modified_by="super:SPATEL", modification_date="2012-01-23 10:56:26"

IID
FADT227980
Person Preferred Name

Welling, Donald Anthony.
Graduate College
Physical Description

electronic
viii, 144 p. : ill. (some col.)
Title Plain
fuzzy logic material selection methodology for renewable ocean energy applications
Use and Reproduction
http://rightsstatements.org/vocab/InC/1.0/
Origin Information


Boca Raton, Fla.

Florida Atlantic University
2009
Place

Boca Raton, Fla.
Title
fuzzy logic material selection methodology for renewable ocean energy applications
Other Title Info

A
fuzzy logic material selection methodology for renewable ocean energy applications