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dc.contributor.authorSankar, H.R.-
dc.contributor.authorSrikant, R.R-
dc.contributor.authorKrishna, P.V-
dc.contributor.authorRao, V.B-
dc.contributor.authorBabu, P.B.-
dc.date.accessioned2024-12-30T10:06:43Z-
dc.date.available2024-12-30T10:06:43Z-
dc.date.issued2013-
dc.identifier.citation10.15282/ijame.7.2012.13.0078en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/2236-
dc.descriptionNITWen_US
dc.description.abstractConventional materials are being replaced in the field of engineering by composite materials, due to their tailorable properties and high specific properties. These materials are extensively used in structural applications. Damping is one of the important properties of the materials used in structures, and needs to be enhanced in order to reduce structural vibrations. In the present work, the improvement of the material damping of glass fabric epoxy composites with particle rubber inclusions is studied. The effect of particle size on the damping and stiffness parameters at different frequencies and temperatures is studied experimentally. Considerable enhancement in damping without significant reduction in stiffness is observed at lower particle sizes. The damping property in both bending and shear modes is more with 0.254 mm rubber particle inclusions among the selected sizes. A lower reduction in stiffness is observed with the inclusion of lower particle sizes (0.254 mm and 0.09 mm) when compared with higher particle sizes. An ANN-based prediction model is developed to predict these properties for a given frequency/temperature and particle size. The predicted values are very close to the experimental values with an maximum error of 5%.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Automotive and Mechanical Engineeringen_US
dc.subjectComposites;en_US
dc.subjectDamping enhancementen_US
dc.subjectAartificial neural networksen_US
dc.titleEstimation of the Dynamic Properties of Epoxy Glass Fabric Composites with Natural Rubber Particle Inclusionsen_US
dc.typeArticleen_US
Appears in Collections:Mechanical Engineering

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