Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/457388
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dc.coverage.spatialOptimizing and simulating the heat and flow behaviour of nanofluids using data mining techniques
dc.date.accessioned2023-02-09T09:35:54Z-
dc.date.available2023-02-09T09:35:54Z-
dc.identifier.urihttp://hdl.handle.net/10603/457388-
dc.description.abstractNext novel wave of the Science and Engineering is mainly newlineinfluenced by the development of nano technology and it revolutionizes a newlinevariety of industries including aerospace, information technology, energy, newlinenational defense, medical and transportation. Nanotechnology will allow for newlinethe creation of next-generation materials that are stronger, lighter and more newlinedurable than those currently utilized conventional materials in bridges, newlinebuildings, automobiles, aeroplanes, and other uses. Nanotechnology also newlineholds significant promise for developing energy-efficient products including newlinemore efficient fuel cells, solar panels and batteries. Nanotechnology has the newlinepotential to clean contaminated water and land and also it will have a newlinesignificant impact on medicine and health care. Nano technology establish the newlinerapid growth in the field of engineering and the efficiency of the system newlineimproves by means of the reducing the particle sizes. The miniature of the newlinecomponent is mainly depending on the nano particle size of the materials. newlineNanofluids are the most valuable development among various newlinedevelopment of nano technology. The capability of the nanofluids based newlineapplications such as heat dissipation systems, engine transmission fluids, newlinecontrol reactivity, heat recovery for flue gas and drilling, is mainly influenced newlineby the properties of the nanofluids. The cosmetic and mechanical engineering newlineapplications employ nanofluids to fulfill their requirements. The novel heat newlineexchanger employs nanofluids for improving heat transfer efficiency. The newlineheat exchange efficiency of conventional heat exchanger is decreased because newlineof thermal conductivity of the convention fluid is low. The novel fluid is newlinedeveloped to enhance the heat exchange efficiency by adding high thermal newlineconductivity nano particles such as metals, carbides and oxides. newline
dc.format.extentxix,157p.
dc.languageEnglish
dc.relationp.140-156
dc.rightsuniversity
dc.titleOptimizing and simulating the heat and flow behaviour of nanofluids using data mining techniques
dc.title.alternative
dc.creator.researcherRajappa B
dc.subject.keywordNanofluids
dc.subject.keywordData Mining
dc.subject.keywordNanotechnology
dc.description.note
dc.contributor.guideMukesh Kumar P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Science and Humanities
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Science and Humanities

Files in This Item:
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01_title.pdfAttached File120 kBAdobe PDFView/Open
02_prelim pages.pdf3.76 MBAdobe PDFView/Open
03_content.pdf118.69 kBAdobe PDFView/Open
04_abstract.pdf95.44 kBAdobe PDFView/Open
05_chapter 1.pdf1.31 MBAdobe PDFView/Open
06_chapter 2.pdf388.33 kBAdobe PDFView/Open
07_chapter 3.pdf570.46 kBAdobe PDFView/Open
08_chapter 4.pdf898.53 kBAdobe PDFView/Open
09_annexures.pdf166.91 kBAdobe PDFView/Open
80_recommendation.pdf90.73 kBAdobe PDFView/Open


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