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Can ultrasonic parameters affect the impact and water barrier properties of nano-clay filled glass fiber/polyester composites?
Faculty
Engineering
Year:
2022
Type of Publication:
ZU Hosted
Pages:
1118S–1137S
Authors:
Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of Industrial Textiles Sage
Volume:
51
Keywords :
, ultrasonic parameters affect , impact , water barrier
Abstract:
Good dispersion of the nanoparticles into the polymer is considered a critical issue, as it can provide higher strength and stiffness while poor dispersion is seen to decrease those properties. In the present work, the effect of three ultrasonic parameters (amplitude, time and cycle of sonication) on sonication technique for dispersing 1 wt.% nano-clay in polyester matrix was investigated. To disperse the nano-clay into the polyester matrix, sonication frequencies of 40% and 80%, sonication times of 0.5, 1 and 2 hours and pulse of 0.5 and 1 cycle were used. The effect of these ultrasonication parameters on water barrier and impact behavior of unfilled and filled glass fiber (GF)/polyester with nano-clay under dry, distilled and seawater conditions was studied. Results showed that, water absorption of nano-filled composites dispersed with all sonication parameters is lower than that of unfilled glass fiber/polyester composites immersed in distilled and seawater. Nano-clay filled GF/polyester composites showed an improvement in impact resistance under dry, distilled and seawater conditions with all sonication parameters. Among the used sonication parameters; time of 2 hours, amplitude of 40% and 0.5 cycle was found as the best parameter which resulted in the maximum enhancement in impact resistance, due to the addition of nano-clay to GF/polyester, of 8.2%, 14% and 19.6% under dry, distilled water and seawater conditions, respectively. Nonlinear minimization approach was exploited using MAPLE commercial software in order to find the suitable fit to the models of Fick and Langmuir. Diffusion coefficients for different sonication times were computed.
Author Related Publications
Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "On the Prediction of Surface Roughness in Turning Operation using Artificial Neural Networks", Cairo University, 2000
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Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Experimental Evaluation of Delamination in Drilling of Fiber Reinforced Polymeric Composite Materials", كلية الهندسة - جامعة الزقازيق, 2009
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Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Prediction of Delamination Size in Drilling FRP Composite Materials using Artificial Neural Networks", كلية الهندسة - جامعة الزقازيق, 2009
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Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Ultrasonic Mixing of Nanoparticles in Epoxy Resin", Housing & Building National Research Center, 2010
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Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Machinability Analysis in Drilling Woven GFR/Epoxy Composites: Part I- Effect of Machining Parameters", Elsevier Ltd., 2010
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Department Related Publications
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Adel Fathy Meselhy Ibrahiem, "Fabrication and Properties of copper-alumina nanocomposite by mechano-chemical routes", لايوجد, 1900
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Ashraf Abdelfattah Ali Hassanein, "Wet Electrospun CuNP/Carbon Ultra Fine Coils for Super Air Core Inductors", ICCE-19 Conference, Shanghai, China, 24-30 July 2011. Also, World Journal of Engineering, Supplement 3, 2010: 37-40., 2010
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