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Title: Predicting the ultimate failure load Of composite hardware using Artificial neural network and Acoustic emission data
Researcher: Sasikumar T
Guide(s): Rajendra boopathy S
Keywords: Acoustic Emission
Artificial neural network
Glass Fiber Reinforced Plastic
Upload Date: 26-Nov-2014
University: Anna University
Completed Date: 01/05/2009
Abstract: Proof testing of composite structures is complicated by the fact that newlinemost composite structures do not exhibit the same elastic plastic behaviour newlinefound in metal structures Excluding macroscopic discontinuities as long as newlinethe stress is kept below the yield point there is little plastic deformation and newlinetherefore no noticeable degradation in the structural integrity of metal newlinestructures This phenomenon does not hold true for fiber matrix composites newlinein which the structural integrity begins to degrade as soon as the fibers begin newlineto break The common proof testing loads of 70 80 percent of the expected newlinefracture strength used on a metal design can cause significant fiber failures in newlinecomposite structures thereby degrading its structural integrity In order to newlineavoid this a procedure needs to be adopted that uses reasonably lower proof newlineloading for composites and that would also accurately determine the ultimate newlinestrength of the structure Acoustic Emission AE study is a high sensitivity nondestructive newlinetesting technique for detecting active microscopic events in a material newlineAcoustic emission signals collected from composite hardware during proof newlinetesting were interpreted with an Artificial Neural Network ANN and the newlineultimate failure strength was predicted The experimental research was started newlinewith the failure strength prediction attempt on composite tensile coupons newlineSubsequently the same methodology was followed to a burst pressure newlineprediction on Glass Fiber Reinforced Plastic GFRP pressure vessels newline newline
Pagination: xx, 170p.
Appears in Departments:Faculty of Mechanical Engineering

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02_certificate.pdf5.86 kBAdobe PDFView/Open
03_abstract.pdf12.56 kBAdobe PDFView/Open
04_acknowledgement.pdf7.05 kBAdobe PDFView/Open
05_content.pdf70.72 kBAdobe PDFView/Open
06_chapter1.pdf326.99 kBAdobe PDFView/Open
07_chapter2.pdf270.31 kBAdobe PDFView/Open
08_chapter3.pdf1.75 MBAdobe PDFView/Open
09_chapter4.pdf1.13 MBAdobe PDFView/Open
10_chapter5.pdf2.5 MBAdobe PDFView/Open
11_chapter6.pdf211.56 kBAdobe PDFView/Open
12_chapter7.pdf16.93 kBAdobe PDFView/Open
13_appendix.pdf48.3 kBAdobe PDFView/Open
14_reference.pdf45.3 kBAdobe PDFView/Open
15_publication.pdf10.58 kBAdobe PDFView/Open
16_vitae.pdf6.73 kBAdobe PDFView/Open

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