Exploring the synergistic effects of graphene on the mechanical and vibrational response of kenaf/pineapple fiber?reinforced hybrid composites

Mechanical and water absorption behaviour of graphene?integrated kenaf/pineapple fiber?reinforced hybrid composites.The automotive, aerospace, and sports industries are increasingly utilizing hybrid composites made from natural fiber reinforcements. This study evaluated the performance of a composite made from kenaf and pineapple fibers, manufactured using the compression molding process, with graphene nanoparticles added at varying weight concentrations of 0.5, 1.0, 1.5, and 2.0?wt%. Results showed that adding 0.5?wt% graphene increased the tensile, flexural, and impact strength of hybrid composite by 133.75%, 90.24%, and 25.67%, respectively. Microstructural analysis revealed that graphene integration has enhanced the interfacial bond between the fiber and the matrix, creating resin?rich areas. Furthermore, the free vibrational analysis indicated that graphene?infused composites exhibited higher natural frequencies, improving their energy?absorbing capabilities. Water absorption tests demonstrated that the inclusion of graphene reduced water penetration by improving interfacial bonding, minimizing voids, and decreasing surface energy, which limited water pathways in the composite. Furthermore, the composites with 0.5?wt% graphene showed a contact angle of 80.8°, indicating lower hydrophilicity compared to neat composites, which had a contact angle of 70.7°. This research emphasizes the advantages of hybrid composite materials derived from kenaf and pineapple fibers, specifically for applications in vehicle interiors and construction, including wall panels and separators.HighlightsHybrid composite was prepared using the compression molding process.Adding 0.5?wt% graphene improved the mechanical properties of composites.Hybrid composites with lower wt% graphene had higher natural frequencies.The composites with 0.5?wt% graphene had better water absorption properties.

» Publication Date: 11/11/2024

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737


                   




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