Surface Morphology Analysis using Atomic Force Microscopy and Statistical Method for Glass Fiber Reinforced Epoxy-Zinc Oxide Nanocomposites

Hiremath, Anupama and Thipperudrappa, Sridhar and Bhat, Rithesh (2022) Surface Morphology Analysis using Atomic Force Microscopy and Statistical Method for Glass Fiber Reinforced Epoxy-Zinc Oxide Nanocomposites. Engineered Science, 18. pp. 308-319. ISSN 2576-988X

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Abstract

Nanoparticles filled fiber reinforced polymer composites are gaining widespread application due to the exhibition of peculiarand unique properties that can be tailored to suit specific requirements. The current paper discusses the fabrication of glass fiber reinforced epoxy-zinc oxide (EGZ) nanocomposites. The inclusion of hard ceramic zinc oxide (ZnO) nanoparticles is known to improve the mechanical, thermal, and optical properties of the composites but also tend to increase the surface roughness. Evaluating surface roughness becomes important, especially if such material is used for applications that require smooth surfaces. Thus, an effort is made to study the surface roughness of the fabricated EGZ nanocomposite using atomic force microscopy (AFM). The ZnO nanoparticles are ultrasonically blended with epoxy resin in 1, 2, and 3% weight fractions. Compression molding is used to create the nanocomposite laminates. The predictors include sonication time, compression time, and ZnO nanofiller content. The influence of nanofiller content on the amplitude functional parameter is also statistically investigated. High-fit and prediction-ability linear regression models are designed and verified for predicting surface roughness characteristics within the experimental restrictions. All amplitude functional parameters of surface roughness were higher in nanocomposites having higher ZnO content

Item Type: Article
Uncontrolled Keywords: Zinc oxide; Polymer nanocomposites; Surface roughness; Atomic force microscopy; Analysis of variance.
Subjects: Engineering > MIT Manipal > Aeronautical and Automobile
Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 27 Jul 2022 09:06
Last Modified: 27 Jul 2022 09:06
URI: http://eprints.manipal.edu/id/eprint/159034

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