Artificial Intelligence‐Driven Prediction and Optimization of Tensile and Impact Strength in Natural Fiber/Aluminum Oxide Polymer Nanocomposites

Artificial Intelligence‐Driven Prediction and Optimization of Tensile and Impact Strength in Natural Fiber/Aluminum Oxide Polymer Nanocomposites

ABSTRACT This study investigates the mechanical properties of hybrid composites reinforced with jute, kenaf, and glass fibers, incorporating Aluminum Oxide (Al2O3) as a nanoparticle filler. The effects of three key parameters—fiber orientation, fiber sequence, and weight percentage of Al2O3 on—the t...

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Bibliographic Details
Main Authors: Solairaju Jothi Arunachalam, Rathinasamy Saravanan, Nashwan Adnan Othman, Sathish Thanikodi, Jayant Giri, Muzhda Azizi, Taoufik Saidani
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Engineering Reports
Subjects:
artificial neural networks
mechanical characterization and fiber orientation
nano‐particle
response surface methodology
Online Access:https://doi.org/10.1002/eng2.70093
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https://doi.org/10.1002/eng2.70093

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