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dc.coverage.spatialExperimental Investigation and Optimization Using Meta Heuristics For Carbon Fiber Reinforced Polyester Composites of An Automobile Leaf Spring
dc.date.accessioned2019-08-26T06:03:28Z-
dc.date.available2019-08-26T06:03:28Z-
dc.identifier.urihttp://hdl.handle.net/10603/254839-
dc.description.abstractThermoplastics are finding place in the current industrial sector due its load bearing capacities. There was lack of knowledge in understanding the load bearing capacities of heterogeneous materials. In this research, suspension through short fiber reinforced thermoplastic material was given importance due to its adaptability. Before entering to product development, relevant mechanical properties for leaf spring applications; wear properties and damping characteristics were investigated. Unreinforced polyester, 20% short carbon fiber reinforced polyester and 20% long carbon fiber reinforced polyester materials were used for leaf spring materials and manufacturing was done through injection moulding. Manufactured leaf springs were evaluated for static, fatigue as short term creep performances were evaluated. newlineCharacteristics such as abrasiveness and adhesiveness were investigated by pin on disc configuration. Wear performance was influenced by fiber length, plastic deformation energy and material crystallinity. Free and forced vibrations were given to analyze the damping sources for the leaf springs. Fiber density was found to influence the damping behavior of composites significantly. Hysteretic area measurement indicated energy dissipation when the test materials were subjected to elastic as well as plastic deformation. Than the reinforced material, higher energy dissipation was exhibited by unreinforced material. Due to the presence of more fiber ends, SFPE showed higher energy dissipation than LFPE. When compared to that of SFPE and UFPE, improved fiber matrix bonding and presence of less fiber ends in LFPE improved wear resistance. With the increase in load during adhesive and abrasive modes for all the materials, specific wear rate and wear volume of the test materials also increased. newline newline newline
dc.format.extentxxiv, 159p.
dc.languageEnglish
dc.relationp.148-158
dc.rightsuniversity
dc.titleExperimental investigation and optimization using meta heuristics for carbon fiber reinforced polyester composites of an automobile leaf spring
dc.title.alternative
dc.creator.researcherMugesh Raja V
dc.subject.keywordCarbon Fiber
dc.subject.keywordEngineering and Technology,Engineering,Engineering Mechanical
dc.subject.keywordMeta Heuristics
dc.description.note
dc.contributor.guideSrinivasa Raman V
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Mechanical Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awarded30/08/2018
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Mechanical Engineering

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01_title.pdfAttached File99.73 kBAdobe PDFView/Open
02_certificates.pdf626.45 kBAdobe PDFView/Open
03_abstract.pdf85.08 kBAdobe PDFView/Open
04_acknowledgement.pdf155.21 kBAdobe PDFView/Open
05_table of contents.pdf119.09 kBAdobe PDFView/Open
06_list_of_abbreviations.pdf157.09 kBAdobe PDFView/Open
07_chapter1.pdf145.6 kBAdobe PDFView/Open
08_chapter2.pdf217.37 kBAdobe PDFView/Open
09_chapter3.pdf237.17 kBAdobe PDFView/Open
10_chapter4.pdf1.27 MBAdobe PDFView/Open
11_chapter5.pdf648.99 kBAdobe PDFView/Open
12_chapter6.pdf1.12 MBAdobe PDFView/Open
13_chapter7.pdf437.74 kBAdobe PDFView/Open
14_conclusion.pdf88.32 kBAdobe PDFView/Open
15_references.pdf214.35 kBAdobe PDFView/Open
16_list_of_publications.pdf162.83 kBAdobe PDFView/Open


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