Influence of fibre direction on the mechanical properties and artificial intelligence-based performance prediction of hybrid abaca-jute amino composites

In this study, the Hot-press method was used to create hybrid laminates using an equal amount of jute and abaca fibers with various fiber orientations [0/0/0/0/0/0, 0/45/0/0/45/0, 0/90/0/0/90/0, and +45/−45/+45/+45/−45/+45] embedded in amino resin. To assess the impact of fiber orientation on natura...

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Bibliographic Details
Published in:Materials research express 2024-07, Vol.11 (7), p.75302
Main Authors: S, Ramesh, B H, Maruthi Prashanth, Gomathi, P, Swamy, G M, Kandagal, Zaheerabbas B, Anne, Gajanan
Format: Article
Language:English
Subjects:
abaca fiber
Amino resins
Artificial intelligence
Artificial neural networks
Density
Fiber composites
Fiber orientation
Impact strength
Jute
jute fiber
Laminates
Machine learning
Mechanical properties
Performance prediction
phenoplast composites
Tensile strength
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Summary:In this study, the Hot-press method was used to create hybrid laminates using an equal amount of jute and abaca fibers with various fiber orientations [0/0/0/0/0/0, 0/45/0/0/45/0, 0/90/0/0/90/0, and +45/−45/+45/+45/−45/+45] embedded in amino resin. To assess the impact of fiber orientation on natural fiber hybrid eco-fiber composites, as per ASTM standard the tensile, flexural, impact, and ILSS tests were carried out. Additionally, conducting an in-depth statistical examination through the utilization of Machine Learning techniques like Artificial Neural Networks (ANN) to make predictions. The experimental results revealed that the voids and defects have a significant impact on composite density. (0/45/0/0/45/0)The fiber-oriented composite (Composite B) had a higher experimental density and void content than the other composites. The Composite A (0/0/0/0/0/0) outperformed other composites in terms of tensile strength, flexural load-bearing capacity, and impact strength by 5% to 29%. When compared to other composites, the Composite A fiber-oriented composite had the highest ILSS value (3.35 MPa). SEM analysis revealed a good interface between abaca-jute ecofibers and amino resin in the composite. ANN effectively predicts strengths with high R2 scores of 1, 0.98, and 0.99 for tensile, flexural, and impact strengths. The model’s interaction coefficients are close to 1, indicating strong correlative and predictive value.
ISSN:2053-1591
2053-1591
DOI:10.1088/2053-1591/ad5f7e