Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/310932
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dc.date.accessioned2021-01-07T04:34:07Z-
dc.date.available2021-01-07T04:34:07Z-
dc.identifier.urihttp://hdl.handle.net/10603/310932-
dc.description.abstractComposites in which the reinforcing phase is a fiber, whose length to diameter ratio is newlinerelatively small is called a short fiber composite (SFC). The matrix in these composite is newlineusually an isotropic polymer. Owing to the presence of relatively stiffer and stronger fiber newlinein the matrix the composites have a better mechanical properties than their pure matrix. The newlineexisting manufacturing processes, without much modification, can be used to manufacture newlinesuch composites. Besides, due to their better mould ability compared to long fiber newlinecomposites, very intricate shapes of components can be designed. Because of this, the newlinecomposites find their applications from a filler material of a dentist to secondary newlinecomponents of an aircraft. newlineThe properties of such materials are strongly dependent on the type of fiber, type of matrix newlinetheir orientation, the interaction etc. With increased use of such components it becomes newlineimperative to have methods to predict and test the mechanical properties of them. These newlinecan ordinarily be classified based on orientation as Aligned and Random short fiber newlinecomposites. The Random SFCs can further be divided as 2D Random and 3D Random newlineshort fiber composites. If the inclusions are made of more than one material they can be newlinecalled as hybrid composites. Due to such a large number of permutation and combinations newlinethat are possible in the design of such composites, physical testing is not always an option. newlineA better way would be, to be able to predict the overall behaviour of the composites from newlinethe known properties of its constituent materials. This of course is in the realm of newlinemicromechanics. There are many analytical and semi empirical methods to predict the newlineoverall behaviour. However, because of the huge number of variables involved, it s not newlinealways possible to derive a unique equation which can take care of all possible situations. newlineTo overcome these setbacks, many researchers are resorting to numerical methods such as newlinefinite element analysis.
dc.format.extentXIV, 168
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleNumerical Evaluation of Mechanical Behaviour of Composite Materials
dc.title.alternative
dc.creator.researcherReddy, Babu
dc.subject.keywordEngineering and Technology
dc.subject.keywordMaterial Science
dc.subject.keywordMaterials Science Composites
dc.description.note
dc.contributor.guideBadari Narayana, K
dc.publisher.placeBelagavi
dc.publisher.universityVisvesvaraya Technological University, Belagavi
dc.publisher.institutionDepartment of Mechanical Engineering
dc.date.registered2008
dc.date.completed2017
dc.date.awarded2018
dc.format.dimensions12x10
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mechanical Engineering

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