Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/253351
Title: Prediction parameters in nano fiber composite membrane for effective air filtration using optimal neural network
Researcher: Kandavel V S
Guide(s): Mohan Kumar G
Keywords: Air Filtration
Engineering and Technology,Engineering,Engineering Mechanical
Nano Fiber Composite Membrane
Optimal Neural Network
University: Anna University
Completed Date: 2018
Abstract: In current society, traffic, as well as transportation and the manufacturing industry along with construction industries, constantly discharge a lot of dust and particles into the climate, which can cause substantial air contamination, prompting health risks. The cloudiness catastrophe, a significant issue in creating nations, for example, China and India, has turned out to be one of the principle issues of worldwide ecological pollution in late decades. Many air filtration innovations have been created. Due to their interconnected nanoscale pore structures, exceedingly particular newlinesurface ranges, fine diameters, and porous structure and additionally their capacity to join dynamic science on the nanoscale surface, electrospun fibers are turning into a promising flexible stage for air filtration. Air filtration utilizing electrospun fibers that capture fine particles/unstable natural gases/bacterium is a moderately new, however exceedingly encouraging, and strategy. Here, the polyamide-6/polyacrylonitrile/polyamide-6 (PA-6/PAN/ PA-6) composite membrane is considered for the effective air filtration. The air filtration is done by means of the electrospinning procedure by planning the components of the fibrousmembrane with a specific end goal to anticipate the unmistakable mechanical properties of the nanofiber composite membranes. Electrospinning innovation is a straightforward however successful solution- based technique used to generate nanofiber membranes, which could be relevant to detachment operations. One of the primary points of electrospinning for nanofiber air-filter generation is that the morphology newlineand distance across of electrospun fibers are tunable by the particular electrospinning parameters. The porous nanofibers have harsh surfaces and vast particular surface zones, which enormously add to the molecule vi expulsion. newline newline
Pagination: xviii, 141p.
URI: http://hdl.handle.net/10603/253351
Appears in Departments:Faculty of Mechanical Engineering

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01_title.pdfAttached File9.74 kBAdobe PDFView/Open
02_certificates.pdf1.6 MBAdobe PDFView/Open
03_abstract.pdf7.52 kBAdobe PDFView/Open
04_acknowledgement.pdf4.43 kBAdobe PDFView/Open
05_contents.pdf101.39 kBAdobe PDFView/Open
06_list_of_abbreviations.pdf64.57 kBAdobe PDFView/Open
07_chapter1.pdf277.67 kBAdobe PDFView/Open
08_chapter2.pdf157.09 kBAdobe PDFView/Open
09_chapter3.pdf53.35 kBAdobe PDFView/Open
10_chapter4.pdf413.78 kBAdobe PDFView/Open
11_chapter5.pdf495.87 kBAdobe PDFView/Open
12_conclusion.pdf15.49 kBAdobe PDFView/Open
13_references.pdf120.75 kBAdobe PDFView/Open
14_list_of_publications.pdf62.11 kBAdobe PDFView/Open


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