Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/234084
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DC FieldValueLanguage
dc.coverage.spatialEngineering
dc.date.accessioned2019-03-25T12:44:12Z-
dc.date.available2019-03-25T12:44:12Z-
dc.identifier.urihttp://hdl.handle.net/10603/234084-
dc.description.abstractquotComposite materials possess several desirable properties when compared against newlineconventional metal such as, their high specific strength and specific modulus, their variable newlinedirectional strength properties and their better fatigue strength. The fiber reinforced plastics newline(FRP) are highly promising materials for the applications in aeronautical and aerospace newlineindustries. Composites are being abrasive, the tool wear is high and hence the machining newlineparameters are to be carefully selected while machining GFRP composite materials. newlineMachining of these composites, especially drilling is very important operation which newlineis to be carried out for assembly of composite parts. During drilling of GFRP and CFRP newlinedelamination is a major concern, which reduces the structural integrity of the material. The newlinepresent work is critical review which focuses on the analysis of delamination behaviour of the newlinecomposites when drilled and methods available to reduce the delamination. Remarkable work newlinehas been carried out by different researchers in this area where few have suggested newlinecontrolling the cutting parameters like cutting speed, feed and depth of cut others have newlineemphasis on thrust force and torque. In this experiment work GFRP laminate with specific newlineproperties is manufactured and drilled with three drills having different point angles of 118 degree, newline130 degree, 140 degree. Speed, Feed rate and Point angle are taken as variables and drilled holes are newlinemeasured for delamination. Effect of cutting parameters and tool geometry (point angle) on newlinedelamination are studied. ANFIS (Adaptive Neuro Fuzzy Inference System) based newlinemathematical model is developed in MATLAB to control the delamination. Based on the newlineabove ANFIS model one can select best cutting parameters to minimise delamination.quot newline newline
dc.format.extentxxii,101
dc.languageEnglish
dc.relation86
dc.rightsuniversity
dc.titleMontoring and control of delamination in drilling of GFRP Glass Fibe Reinforced Plastics
dc.title.alternative
dc.creator.researcherPatel Jaykumar Bipinbhai
dc.subject.keywordEngineering and Technology,Engineering,Engineering Mechanical
dc.description.notequotComposite material,high specific strength,specific modulus,fatigue strength, ANFIS (Adaptive Neuro Fuzzy Inference System), fiber reinforced plastics (FRP),delamination,GFRP(Glass fibre reinforced plastics),ANFIS model,MATLABquot
dc.contributor.guideM B Patel
dc.publisher.placeAhmedabad
dc.publisher.universityGujarat Technological University
dc.publisher.institutionMechanical Engineering
dc.date.registeredJul 11
dc.date.completed02/03/2019
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Mechanical Engineering

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01_title page.pdfAttached File630.08 kBAdobe PDFView/Open
02_declaration.pdf497.63 kBAdobe PDFView/Open
03_certificate.pdf495.67 kBAdobe PDFView/Open
04_abstract.pdf343.18 kBAdobe PDFView/Open
05_acknowledgement.pdf435.69 kBAdobe PDFView/Open
06_table of content.pdf431.15 kBAdobe PDFView/Open
07_abbreviations.pdf345.16 kBAdobe PDFView/Open
08_list_of_symbols.pdf406.12 kBAdobe PDFView/Open
09_list_of_figures.pdf357.36 kBAdobe PDFView/Open
10_list_of_tables.pdf420.55 kBAdobe PDFView/Open
11_chapter1.pdf1.53 MBAdobe PDFView/Open
12_chapter2.pdf1.3 MBAdobe PDFView/Open
13_chapter3.pdf5.8 MBAdobe PDFView/Open
14_chapter4.pdf2.32 MBAdobe PDFView/Open
15_chapter 5.pdf716.62 kBAdobe PDFView/Open
16_list_of_references.pdf952.43 kBAdobe PDFView/Open


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