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Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture

D., Ramasamy and K., Kadirgama and W. H., Azmi and M. M., Rahman and Mahendran, Samykano and W. S., W. Harun (2019) Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture. In: 27th Annual International Conference on Composites or Nano Engineering, 13-21 Julai 2019 , University of Granada, Spain. pp. 1-2.. (Unpublished)

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Abstract

Heat-transfer improvement is a vital challenge in thermal engineering. Due to their vast application in the thermal energy transfer, the researchers have found a latest method in enhancing the heat transfer performance by using nanofluid. Dispersion of nanosubstance not only enhances thermal conductivity but dynamic viscosity too. Viscosity enhancement is vital parameter that must be studied for the application purposes. It increases power consumption which reduces pump performance. In this paper, Cellulose Nanocrystal (CNC) a nanoscaled fibril extracted from Western Hemlock plant is used to study viscosity enhancement. Nanofluid developed from cellulose based nanosubstance leads to a renewable and green applications. CNC with 7.4% weight concentration is dispersed into ethylene glycolwater mixture at 40:60 ratio. Dynamic viscosity is measured experimentally and empirical model is developed for relative viscosity. Experiments is carried out for nanofluid with volume concentration up to 0.9%. Minitab 17, statistic analytical tool is used for the mathematical model development.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Cellulose Nanocrystal (CNC); Mathematical; Western Hemlock; Nanosubstance
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 17 Oct 2019 04:12
Last Modified: 17 Oct 2019 04:12
URI: http://umpir.ump.edu.my/id/eprint/26109
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