Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/4763
Title: Discarded Water Hyacinth/Pineapple Fibers and Carbon/Innegra Fabrics and Tic Nanoparticles Reinforced UV Resistant Polyester Composites
Authors: Kumar, Mohit Hemath
Rangappa, Sanjay Mavinkere
Yorseng, Krittirash
Siengchin, Suchart
Marwani, Hadi M
Khan, Anish
Asiri, Abdullah M
Keywords: Artificial neural network
Chemical surface modification
Pineapple leaf
Regression analysis
Thermal stability
Water hyacinth
Issue Date: 15-Apr-2023
Publisher: Journal of Materials Research and Technology
Abstract: The widespread utilization of plant cellulose fiber-inorganic fillers-synthetic fabric-reinforced laminates is the current trend in the research field. This investigation studies the effect of chemically treated and untreated water hyacinth/pineapple leaf, titanium carbide nanoparticles, Innegra, and carbon fabric reinforcement on the physical, mechanical, and thermal characteristics of ultra-violet resistant polyester hybrid composites. The chemically treated and untreated water hyacinth/pineapple leaf fibers were examined from Fourier transform infrared (FTIR) spectra, X-ray diffraction (XRD), differential scanning calorimeter (DSC), thermogravimetric analysis (TGA), scanning electron microscope (SEM) and found that chemically treated fibers have an excellent interlocking bond with TiC nanoparticles, Innegra, carbon fabric, and polyester matrix. The maximum tensile, flexural, interlaminar shear, impact strength, and shore hardness also affirmed good interfacial bonding of fillers and textiles within the matrix as examined from SEM micrographs. The present investigation also determines the forecasting of the approaches and performance of artificial neural network (ANN) to model the material characteristics of fabricated polyester hybrid composite. Furthermore, the ANN model was more accurate and a valuable technique to optimize the material characteristics of the developed polyester hybrid composite.
URI: https://doi.org/10.1016/j.jmrt.2023.04.061
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/4763
ISSN: 5059-5081
Appears in Collections:Journal Articles

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