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Experimentation, optimization, and predictive analysis of compressive behavior of montmorillonite nano-clay/unsaturated polyester composites

Abdul Hanan, Umar and Abu Hassan, Shukur and Wahit, Mat Uzir and Binoj, Joseph Selvi and Mansingh, Bright Brailson and Goh, Kheng Lim (2023) Experimentation, optimization, and predictive analysis of compressive behavior of montmorillonite nano-clay/unsaturated polyester composites. Polymer Composites, 44 (1). pp. 241-251. ISSN 0272-8397

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Official URL: http://dx.doi.org/10.1002/pc.27041

Abstract

The effect of montmorillonite (MMT) nano-clay as reinforcement in unsaturated polyester resin (UP) matrix composite was investigated under compression loading to explore the impact of MMT nano-clay wt% in the compressive behavior of UP-MMT nano-clay composite. UP-MMT nano-clay composite samples were prepared with a varied filler content of 0.5 to 3 wt% using dual-mixing methods, which are mechanical stirring and ultrasonic agitation. Static uniaxial compression tests were conducted using cylindrical-shaped samples to obtain the compressive behavior of the UP-MMT nano-clay composites. The results of experimentation record a considerable improvement in compressive characteristics of UP-MMT nano-clay composites compared to pure UP matrix. The UP-MMT nano-clay composite samples were viewed under transmission electron microscope (TEM) to know the dispersion of MMT nano-clay in the composites. The nano-platelets were well dispersed and intercalated in the UP-MMT nano-clay composite samples below 1 wt% MMT nano-clay loading. The optimum wt% of MMT nano-clay in the UP-MMT nano-clay composite for improved compressive stress at yield and modulus were noted as 0.60 and 0.61 wt% respectively. Moreover, a mathematical model using Halpin–Tsai-Jumahat equations was utilized to predict the compressive properties of UP-MMT nano-clay composites, which are in closer agreement with the experimental results.

Item Type:Article
Uncontrolled Keywords:compressive behavior, nano-clay, nano-composite, nano-fillers, predictive analysis
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:106420
Deposited By: Yanti Mohd Shah
Deposited On:08 Jul 2024 06:53
Last Modified:08 Jul 2024 06:53

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