Modeling and Optimization of Tensile Properties of Epoxy Biocomposites Reinforced with Washingtonia robusta Waste and Biochar Using Response Surface Methodology, Artificial Neural Networks, and Multi-Criteria Decision-Making

Modeling and Optimization of Tensile Properties of Epoxy Biocomposites Reinforced with Washingtonia robusta Waste and Biochar Using Response Surface Methodology, Artificial Neural Networks, and Multi-Criteria Decision-Making

The current study examined the tensile properties of epoxy biocomposites reinforced with untreated and NaOH-treated Washingtonia robusta waste (WRW) and biochar considering different fiber weight fractions (10%, 20%, 30%), NaOH concentrations (2%, 2.5%, 3%), and treatment durations (4, 12, 24 h). Th...

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Bibliographic Details
Main Authors: Messaouda Boumaaza, Ahmed Belaadi, Hassan Alshahrani, Ibrahim M. H. Alshaikh, Djamel Ghernaout
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Journal of Natural Fibers
Subjects:
Hybrid biocomposite
structural composite
tensile properties
experimental design
desirability function/RSM
genetic algorithm/ANN
Online Access:https://www.tandfonline.com/doi/10.1080/15440478.2025.2540475
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