Artificial Intelligence prediction and optimization of the mechanical strength of modified Natural Fibre/MWCNT polymer nanocomposite

Author:

Imoisili Patrick EhiORCID,Makhatha Mamookho Elizabeth,Jen Tien-ChienORCID

Funder

National Research Foundation

University of Johannesburg

Publisher

Elsevier BV

Reference40 articles.

1. Carbon nanotube-reinforced polymer nanocomposites for sustainable biomedical applications: a review;Abubakre;J. Sci.: Advanced Materials and Devices,2023

2. A state-of-the-art review on potential applications of natural fiber-reinforced polymer composite filled with inorganic nanoparticle;Mishra;Composites Part C: Open Access,2022

3. Optimal route to robust hybridization of banana-coir fibre particulate in polymer matrix for automotive applications;Okafor;Materialia,2021

4. Effect of high-frequency microwave radiation on the mechanical properties of plantain (Musa paradisiaca) fibre/epoxy biocomposite;Imoisili;J. Phys. Sci.,2018

5. Response surface methodology (RSM)- artificial neural networks (ANN) aided prediction of the impact strength of natural fibre/carbon nanotubes hybrid reinforced polymer nanocomposite;Imoisili;Engineered Science Journal,2023

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