Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester composites
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, an...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S223878542300755X |
| _version_ | 1797798803780141056 |
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| author | H. Mohit Sanjay Mavinkere Rangappa Krittirash Yorseng Suchart Siengchin Hadi M. Marwani Anish Khan Abdullah M. Asiri |
| author_facet | H. Mohit Sanjay Mavinkere Rangappa Krittirash Yorseng Suchart Siengchin Hadi M. Marwani Anish Khan Abdullah M. Asiri |
| author_sort | H. Mohit |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T04:09:24Z |
| format | Article |
| id | doaj.art-7666b7ba9434455a96cae2e62fc42bd6 |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-03-13T04:09:24Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-7666b7ba9434455a96cae2e62fc42bd62023-06-21T06:56:37ZengElsevierJournal of Materials Research and Technology2238-78542023-05-012450595081Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester compositesH. Mohit0Sanjay Mavinkere Rangappa1Krittirash Yorseng2Suchart Siengchin3Hadi M. Marwani4Anish Khan5Abdullah M. Asiri6Department of Mechanical Engineering, Alliance College of Engineering and Design, Alliance University, Bengaluru, 562106, IndiaNatural Composites Research Group Lab, Department of Materials and Production Engineering, The Siridhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand; Corresponding author.Department of Teacher Training in Mechanical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand; Corresponding author.Natural Composites Research Group Lab, Department of Materials and Production Engineering, The Siridhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok, Thailand; Corresponding author.Chemistry Department, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia; Center of Excellence for Advanced Materials Research, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi ArabiaCenter of Excellence for Advanced Materials Research, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia; Corresponding author.Chemistry Department, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia; Center of Excellence for Advanced Materials Research, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi ArabiaThe 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.http://www.sciencedirect.com/science/article/pii/S223878542300755XArtificial neural networkChemical surface modificationPineapple leafRegression analysisThermal stabilityWater hyacinth |
| spellingShingle | H. Mohit Sanjay Mavinkere Rangappa Krittirash Yorseng Suchart Siengchin Hadi M. Marwani Anish Khan Abdullah M. Asiri Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester composites Journal of Materials Research and Technology Artificial neural network Chemical surface modification Pineapple leaf Regression analysis Thermal stability Water hyacinth |
| title | Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester composites |
| title_full | Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester composites |
| title_fullStr | Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester composites |
| title_full_unstemmed | Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester composites |
| title_short | Discarded water hyacinth/pineapple fibers and carbon/innegra fabrics and TiC nanoparticles reinforced UV resistant polyester composites |
| title_sort | discarded water hyacinth pineapple fibers and carbon innegra fabrics and tic nanoparticles reinforced uv resistant polyester composites |
| topic | Artificial neural network Chemical surface modification Pineapple leaf Regression analysis Thermal stability Water hyacinth |
| url | http://www.sciencedirect.com/science/article/pii/S223878542300755X |
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