Modelling and optimisation of natural fibre reinforced polymer nanocomposite: application of mixture-design technique

Abstract

Purpose

The aim of this article is to demonstrate the development of environment friendly, low cost natural fibre composites by robust engineering approach. More specifically, the prime objective of the study is to optimise the composition of natural fibre reinforced polymer nanocomposites using a robust statistical approach.

Design/methodology/approach

In this research, the material is prepared using multi-walled carbon nanotubes (MWCNT), Cantala fibres and Epoxy Resin in accordance with the ASTM (American Society for Testing and Materials) standards. Further, the composition is prepared and optimised using the mixture-design approach for the flexural strength of the material.

Findings

The results of the study indicate that MWCNT plays a vital role in increasing the flexural strength of the composite. Moreover, it is observed that interactions between second order and third order parameters in the composition are statistically significant. This leads to proposing a special cubic model for the novel composite material with residual analysis. Moreover, the methodology assists in optimising the mixture component values to maximise the flexural strength of the novel composite material.

Originality/value

This article attempts to include both MWCNT and Cantala fibres to develop a novel composite material. In addition, it employs the mixture-design technique to optimise the composition and predict the model of the study in a step-by-step manner, which will act as a guideline for academicians and practitioners to optimise the material composition with specific reference to natural fibre reinforced nanocomposites.

Citation

Bellairu, P.K., Bhat, S. and Gijo, E.V. (2021), "Modelling and optimisation of natural fibre reinforced polymer nanocomposite: application of mixture-design technique", Multidiscipline Modeling in Materials and Structures, Vol. 17 No. 2, pp. 507-521. https://doi.org/10.1108/MMMS-05-2020-0122