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http://hdl.handle.net/10603/43006
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Parametric studies on the strength of bolted lap joints of hybrid fiber reinforced polymer composites | en_US |
dc.date.accessioned | 2015-06-15T05:53:18Z | - |
dc.date.available | 2015-06-15T05:53:18Z | - |
dc.date.issued | 2015-06-15 | - |
dc.identifier.uri | http://hdl.handle.net/10603/43006 | - |
dc.description.abstract | In the present work investigation of the mechanical properties of oven cured hybrid fiber reinforced polymer composites laminates and its bolted joint is carried out The modeling of the properties using Artificial Neural Network ANN has been done newlineThe composite are reinforced with alkali treated woven jute natural fiber and woven glass fiber The hybrid fiber jute glass polymer matrix composites were made from 5 plies and fabricated by manual hand layup method Three different Stacking sequence were chosen for the study C1 Glass Jute Jute Jute Glass C2 Glass Jute Glass Jute Glass C3 Jute Glass Jute Glass Jute The composites laminates are post cured in hot air oven to maximize the fiber and matrix interface newlineThe optimization of these composites parameters are analyzed using analysis of variance ANOVA The behavior of fabricated composites has been assessed under different process parameter such as treatment of natural fiber in hours NaOH concentration stacking sequencing of jute and glass fiber laminas edge to hole diameter width to hole diameter and oven curing time to maximize the composite laminates strength and its joint strength Each parameter modeled with three levels L27 orthogonal array was implemented to minimize the no of experiments Contribution of each parameter and their optimum levels are analyzed newline newline | en_US |
dc.format.extent | xii, 116p. | en_US |
dc.language | English | en_US |
dc.relation | p109-115. | en_US |
dc.rights | university | en_US |
dc.title | Parametric studies on the strength of bolted lap joints of hybrid fiber reinforced polymer composites | en_US |
dc.title.alternative | en_US | |
dc.creator.researcher | Sutharson B | en_US |
dc.subject.keyword | Artificial Neural Network | en_US |
dc.subject.keyword | Glass Jute Jute Jute Glass | en_US |
dc.description.note | reference p109-115. | en_US |
dc.contributor.guide | Rajendran M | en_US |
dc.publisher.place | Chennai | en_US |
dc.publisher.university | Anna University | en_US |
dc.publisher.institution | Faculty of Mechanical Engineering | en_US |
dc.date.registered | n.d, | en_US |
dc.date.completed | 01/10/2014 | en_US |
dc.date.awarded | 30/10/2014 | en_US |
dc.format.dimensions | 23cm. | en_US |
dc.format.accompanyingmaterial | None | en_US |
dc.source.university | University | en_US |
dc.type.degree | Ph.D. | en_US |
Appears in Departments: | Faculty of Mechanical Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 29.11 kB | Adobe PDF | View/Open |
02_certificate.pdf | 1.54 MB | Adobe PDF | View/Open | |
03_abstract.pdf | 8.28 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 5.85 kB | Adobe PDF | View/Open | |
05_content.pdf | 23.4 kB | Adobe PDF | View/Open | |
06_chapter1.pdf | 255.57 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 273.97 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 759.76 kB | Adobe PDF | View/Open | |
09_chapter4.pdf | 2 MB | Adobe PDF | View/Open | |
10_chapter5.pdf | 10.31 kB | Adobe PDF | View/Open | |
11_reference.pdf | 342.42 kB | Adobe PDF | View/Open | |
12_publication.pdf | 32.15 kB | Adobe PDF | View/Open |
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