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Title: Some studies on modeling and optimization in drilling carbon fiber reinforced plastic composites
Researcher: Krishnamoorthy, A
Guide(s): Rajendra Boopathy, S
Keywords: Carbon fiber reinforced plastic (CFRP), High speed steel (HSS), Poly Crystalline Diamond (PCD), R-Sq values, adaptive neuro fuzzy inference system(ANFIS)
Upload Date: 24-Sep-2013
University: Anna University
Abstract: Carbon fiber reinforced plastic (CFRP) composite materials has unique mechanical and functional properties due to the combination of its constituent materials that possesses desirable properties. The present research work is focused on the experimental studies in drilling of CFRP composite materials using three different tool materials, namely high speed steel (HSS), carbide and Poly Crystalline Diamond (PCD) coated drill tools and with six different responses. Modeling and optimization of process parameters is carried out and reported in this study. CFRP composite plates are fabricated using carbon fibers whose strands measure 4.61 microns. The epoxy resin, ARALDITE LY 556 is mixed with HARDENER XY 54 and hand lay-up technique is used to fabricate the CFRP composite plates. In the present research work, six different responses are studied, namely thrust force, torque, delamination at the entry and exit of the drill tool, eccentricity and surface roughness on the drilled holes in CFRP composite plates. PCD coated drills produce better quality of holes compared to HSS and carbide drills. The R- Sq values are calculated for the regression models and it is almost equal to unity indicating that the model chosen is well in agreement with the experimental results. Another accurate modeling approach, namely, adaptive neuro fuzzy inference system (ANFIS) is applied for various other machining operations in composite materials and hence applied for drilling in the present study. Thrust force is found to increase as the drill advances into the work piece and reaches maximum as the drill tool touches the last layer of the CFRP composite plate. The ANOVA tables are developed to find the most influential parameter and the percentage of contributions. It is found from the ANOVA tables calculated for all the six responses that feed rate is the most influential factor followed by point angle. The parametric influence on each response is studied and the interaction plots are analyzed. newline newline
Pagination: xxvii, 247
Appears in Departments:Faculty of Mechanical Engineering

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02_certificates.pdf675.1 kBAdobe PDFView/Open
03_abstract.pdf19.49 kBAdobe PDFView/Open
04_acknowledgement.pdf12.4 kBAdobe PDFView/Open
05_contents.pdf70.42 kBAdobe PDFView/Open
06_chapter 1.pdf960.63 kBAdobe PDFView/Open
07_chapter 2.pdf196.32 kBAdobe PDFView/Open
08_chapter 3.pdf2.07 MBAdobe PDFView/Open
09_chapter 4.pdf2.65 MBAdobe PDFView/Open
10_chapter 5.pdf250.77 kBAdobe PDFView/Open
11_chapter 6.pdf4.94 MBAdobe PDFView/Open
12_chapter 7.pdf24.85 kBAdobe PDFView/Open
13_references.pdf56.82 kBAdobe PDFView/Open
14_publications.pdf14.98 kBAdobe PDFView/Open
15_vitae.pdf12.78 kBAdobe PDFView/Open

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