Comparative Analysis of Flexural, Tensile, and Impact Properties of Jute, Abaca, Pineapple, and Flax Fiber Reinforced PF Composites with ANN-Based Prediction
Keywords:
Abaca fiber, Artificial Neural Network (ANN), Flax fiber, Flexural strength, Jute fiber, Impact strength, Natural fiber composites, ; Phenol–formaldehyde (PF) resin, Pineapple fiber, Tensile strengthAbstract
The mechanical properties of phenol–formaldehyde (PF) composites reinforced with flax, abaca, pineapple, and jute are examined in this work. Tensile, flexural, and impact tests were used in the experimental evaluations, and Artificial Neural Network (ANN) predictions were used for validation. With highest tensile strength (33 MPa), flexural strength (70 MPa), and impact strength (72 J/m), the findings proved that pineapple fiber PF composites consistently exceeded other systems. While the lowest values were registered by jute fiber composites due to their higher lignin content and lesser fiber–matrix adhesion, intermediate performance was observed with flax and abaca fiber composites. Increased cellulose and crystallinity content in pineapple fiber composites were believed to enhance interfacial stress transfer and provide them with improved properties. The reliability of the computational model in simulating composite behavior was assured by the close agreement between ANN estimates and experiment, within a ±5% difference. The study concludes that among all the natural fibers studied, pineapple fiber PF composites are the most viable choice for structural applications
