Optimization of tensile properties of epoxy aluminum particulate composites using regression models

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dc.contributor.authorBello, S. A.
dc.contributor.authorAgunsoye, J. O.
dc.contributor.authorAdebisi, J. A.
dc.contributor.authorAdeyemo, R. G.
dc.contributor.authorHassan, S. B.
dc.date.accessioned2021-05-27T12:52:00Z
dc.date.available2021-05-27T12:52:00Z
dc.date.issued2018
dc.description.abstractAluminum particles (sourced from aluminum can wastes) were incorporated into diglycidyl ether of bisphenol A (DGEBA) cured with 1,3-diethanamine benzene hardener. Phases occupying the infusible cross linked-developed epoxy composite structures were identified and their spatial arrangements were also examined. The mechanical property tests conducted on the developed epoxy composites include tensile, flexural, impact toughness and micro hardness tests. The density of the epoxy composite sample was determined using Archimedes’ principle. Regression models were developed, confirmed and validated to appraise effects of aluminum particle sizes and percentage weight on the tensile strength. XRD results indicated a chemical reaction between epoxy system and aluminum particles. There is a fair homogenous distribution of the second phase particles within the developed epoxy structure. Deductions from mechanical property tests revealed epoxy/10% aluminum nanoparticle composite (E/10%Alnp) having optimal tensile strength of 18.58 Nmm 2 with flexural strength of 130.87 Nmm 2, impact energy of 16.30 J and micro hardness value of 12.03 HV. The mechanical property values of E/10% Alnp Nanocomposite are comparable with those of existing bumper materials. Moreover, the regression models agree with experiments.en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1018364718307948
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/5539
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectEpoxyen_US
dc.subjectBumperen_US
dc.subjectTensile propertiesen_US
dc.subjectNano-compositesen_US
dc.subjectAluminum particulateen_US
dc.titleOptimization of tensile properties of epoxy aluminum particulate composites using regression modelsen_US
dc.title.alternativeJournal of King Saud University - Scienceen_US
dc.typeArticleen_US

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