ArticleScientific reports2025
Investigation and machine learning-based prediction of mechanical properties in hybrid natural fiber composites.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- An Integrated Prediction Framework for Engineered Cementitious Composite: EDFrame.Materials (Basel, Switzerland) · 2026Article
- Hygrothermal ageing and mechanical degradation behaviour of alkali-treated sunn hemp fibre/bio-epoxy composites.Scientific reports · 2026Article
- Performance evaluation of eco-friendly water hyacinth fiber-reinforced epoxy composites for lightweight protective helmet shell applications.Scientific reports · 2026Article
- Design and Implementation of an Electromagnetic-Capacitive Coupling Mechanism-Based Material Young's Modulus Measurement System.Materials (Basel, Switzerland) · 2026Article
- Modeling and optimizing the delamination factor in Agave americana L. biowaste fiber-reinforced biocomposite drilling: a study using RSM and ANN methods.Scientific reports · 2026Article
- Estimation and optimization of reinforcement parameters for composite material using a machine learning approach.Scientific reports · 2026Article
- Machine learning-based estimation and optimization of phoenix Dactylifera Seed Powder reinforced vinyl ester bio-composites.Scientific reports · 2026Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the growing emphasis on sustainability and circular economy principles in industrial sectors, the effective utilization of waste-derived and abundantly available natural resources has become imperative. Renewable lignocellulosic fibers such as jute fiber (JF), banana fiber (BaF), coconut coir (CC), and pineapple leaf fiber (PALF) serve as viable reinforcements for developing eco-friendly polymer composites. In this study, hybrid natural fiber (NF) composites were fabricated using the hand lay-up method with varying weight percentages of alkaline-treated JF, CC, BaF, and PALF. Alkaline treatment improved fiber-matrix interfacial bonding by reducing hydroxyl groups and enhancing surface roughness, which significantly contributed to improved mechanical and thermal performance. Mechanical testing revealed that the composite containing 20% JF, 20% CC, and 10% PALF exhibited superior properties, achieving a tensile strength of 85.8 MPa, flexural strength of 134.5 MPa, impact strength of 23.3 J/m
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