Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/81624
Title: Experimental investigation and correlative studies of flank wear characteristics of single point cutting tools and inserts in turning using signal processing acoustic emission and artificial and neural network techniques
Researcher: Srinidhi, R
Guide(s): Venkatesha, C S and Sukumar, M
Keywords: Artificial and neural network techniques, Single point cutting tools
University: Kuvempu University
Completed Date: 2008
Abstract: Abstract available newline newline
Pagination: xxvii, 294p.
URI: http://hdl.handle.net/10603/81624
Appears in Departments:Department of Mechanical Engineering

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01_title.pdfAttached File329.24 kBAdobe PDFView/Open
02_certificate.pdf411.1 kBAdobe PDFView/Open
03_declaration.pdf315.02 kBAdobe PDFView/Open
04_acknowledgement.pdf120.97 kBAdobe PDFView/Open
05_abstract.pdf358.84 kBAdobe PDFView/Open
06_contents.pdf178.8 kBAdobe PDFView/Open
07_paper presented or published.pdf92.62 kBAdobe PDFView/Open
08_list of figures.pdf162.46 kBAdobe PDFView/Open
09_list of tables.pdf34.75 kBAdobe PDFView/Open
10_list of appendics.pdf50.26 kBAdobe PDFView/Open
11_nomenclature.pdf29.14 kBAdobe PDFView/Open
12_chapter 1.pdf3.32 MBAdobe PDFView/Open
13_chapter 2.pdf1.9 MBAdobe PDFView/Open
14_chapter 3.pdf1.26 MBAdobe PDFView/Open
15_chapter 4.pdf2.14 MBAdobe PDFView/Open
16_chapter 5.pdf2.1 MBAdobe PDFView/Open
17_chapter 6.pdf1.91 MBAdobe PDFView/Open
18_chapter 7.pdf7.53 MBAdobe PDFView/Open
19_chapter 8.pdf4.76 MBAdobe PDFView/Open
20_chapter 9.pdf1.9 MBAdobe PDFView/Open
21_chapter 10.pdf258 kBAdobe PDFView/Open
22_appendix.pdf1.56 MBAdobe PDFView/Open
23_bibliography.pdf727.87 kBAdobe PDFView/Open


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