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:
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 More
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Experimental Evaluation of Delamination in Drilling of Fiber Reinforced Polymeric Composite Materials", كلية الهندسة - جامعة الزقازيق, 2009 More
  • 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 More
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Ultrasonic Mixing of Nanoparticles in Epoxy Resin", Housing & Building National Research Center, 2010 More
  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "Machinability Analysis in Drilling Woven GFR/Epoxy Composites: Part I- Effect of Machining Parameters", Elsevier Ltd., 2010 More

Department Related Publications

  • Mohammed Adly AttiaIbrahiem , "Vibration characteristics of two-dimensional FGM nanobeams with couple stress and surface energy under general boundary conditions", Elsevier, 2021 More
  • Alaa Ahmed Abd elrahman , "Analysis of nanocontact problems of layered viscoelastic solids with surface energy effects under different loading patterns", Springer, 2015 More
  • Faten Fahiem Mahmoud, "Analysis of nanocontact problems of layered viscoelastic solids with surface energy effects under different loading patterns", Springer, 2015 More
  • Mohamed Ibrahim Mohamed Abdelaal, "3D FEM simulations and experimental validation of plastic deformation of pure aluminum deformed by ECAP and combination of ECAP and direct extrusion", sciencedirect, 2017 More
  • Osama Abdelmoniem Ali Khashaba, "Prediction of surface roughness profiles for milled ‎surfaces using an artificial neural network and fractal ‎geometry approach", Elsevier, 2008 More
Tweet