Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/23313
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dc.contributor.authorMun Wai Tham-
dc.contributor.authorMR Nurul Fazita-
dc.contributor.authorHPS Abdul Khalil-
dc.contributor.authorNurul Zuhairah Mahmud Zuhudi-
dc.contributor.authorMariatti Jaafar-
dc.contributor.authorSamsul Rizal-
dc.contributor.authorMK Mohamad Haafiz-
dc.date.accessioned2019-12-16T04:22:43Z-
dc.date.available2019-12-16T04:22:43Z-
dc.date.issued2018-11-26-
dc.identifier.uri10.1177/0731684418813650-
dc.identifier.urihttp://ir.unikl.edu.my/jspui/handle/123456789/23313-
dc.description.abstractRule of mixture models are usually used in the tensile properties prediction of polymer composites reinforced with synthetic fibres. They are less utilized for natural fibre/polymer composites due to natural fibres physical and mechanical properties variability which reduces rule of mixture model's prediction values accuracy compared to the experimental values. This had led to studies conducted by various researchers to improve the existing rule of mixture models to give a better reflection of the true natural fibres properties and enhance the rule of mixture models prediction accuracy. In this paper, rule of mixture model's utilization includes the existing rule of mixture models as well as proposed rule of mixture models which have one or more factors incorporated into existing rule of mixture models for natural fibre/polymer composites tensile properties prediction are reviewed.en_US
dc.language.isoenen_US
dc.subjectNatural fibre/polymer compositesen_US
dc.subjectModulus predictionen_US
dc.subjectStrength predictionen_US
dc.subjectRule of mixturesen_US
dc.titleTensile properties prediction of natural fibre composites using rule of mixtures: A reviewen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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