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Title: Tensile properties prediction of natural fibre composites using rule of mixtures: A review
Authors: Mun Wai Tham
MR Nurul Fazita
HPS Abdul Khalil
Nurul Zuhairah Mahmud Zuhudi
Mariatti Jaafar
Samsul Rizal
MK Mohamad Haafiz
Keywords: Natural fibre/polymer composites
Modulus prediction
Strength prediction
Rule of mixtures
Issue Date: 26-Nov-2018
Abstract: Rule 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.
URI: 10.1177/0731684418813650
Appears in Collections:Journal Articles

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