Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/28591
Title: Some studies on modeling and optimization of process parameters in drilling gfrp composites using artificial intelligence
Researcher: latha B
Guide(s): Senthilkumar V S
Keywords: drilling gfrp composites
information and communication engineering
modeling and optimization
Upload Date: 21-Nov-2014
University: Anna University
Completed Date: 01/01/2010
Abstract: Artificial Intelligence AI is a philosophy used nowadays in newlinevarieties of engineering applications AI is a new step that is very helpful to newlinethe society The present day industry needs more complex products spanning newlineover several engineering domains Simultaneously there is a pressure on the newlineindustry in developing products faster at competitive prices and to a high newlinequality standard In order to meet these demands manufacturing companies newlinehave been forced to focus their efforts on the development process In that newlinerespect one issue is to ensure the efficiency of the development process newlineAnother issue is to develop tools and techniques that support the design of newlinecomplex products newline newline
Pagination: xxxi, 253p.
URI: http://hdl.handle.net/10603/28591
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File42.42 kBAdobe PDFView/Open
02_certificate.pdf5.87 kBAdobe PDFView/Open
03_abstract.pdf14.24 kBAdobe PDFView/Open
04_acknowledgement.pdf7.57 kBAdobe PDFView/Open
05_contents.pdf65.78 kBAdobe PDFView/Open
06_chapter 1.pdf332.01 kBAdobe PDFView/Open
07_chapter 2.pdf178.99 kBAdobe PDFView/Open
08_chapter 3.pdf2.03 MBAdobe PDFView/Open
09_chapter 4.pdf440.06 kBAdobe PDFView/Open
10_chapter 5.pdf471.92 kBAdobe PDFView/Open
11_chapter 6.pdf14.2 MBAdobe PDFView/Open
12_chapter 7.pdf21.98 kBAdobe PDFView/Open
13_references.pdf59.47 kBAdobe PDFView/Open
14_publications.pdf10.79 kBAdobe PDFView/Open
15_vitae.pdf5.99 kBAdobe PDFView/Open


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