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

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

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 conduct...

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Main Authors: D., Ramasamy, K., Kadirgama, W. H., Azmi, M. M., Rahman, Mahendran, Samykano, W. S., W. Harun
Format: Conference or Workshop Item
Language:English
English
Published: Universiti Malaysia Pahang 2019
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/26109/
http://umpir.ump.edu.my/id/eprint/26109/1/88.%20Prediction%20modelling%20for%20Cellulose%20Nanocrystal%20%28CNC%29%20dispersed.pdf
http://umpir.ump.edu.my/id/eprint/26109/2/88.1%20Prediction%20modelling%20for%20Cellulose%20Nanocrystal%20%28CNC%29%20dispersed.pdf
id ump-26109
recordtype eprints
spelling ump-261092019-10-17T04:12:03Z http://umpir.ump.edu.my/id/eprint/26109/ Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture D., Ramasamy K., Kadirgama W. H., Azmi M. M., Rahman Mahendran, Samykano W. S., W. Harun TJ Mechanical engineering and machinery 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. Universiti Malaysia Pahang 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26109/1/88.%20Prediction%20modelling%20for%20Cellulose%20Nanocrystal%20%28CNC%29%20dispersed.pdf pdf en http://umpir.ump.edu.my/id/eprint/26109/2/88.1%20Prediction%20modelling%20for%20Cellulose%20Nanocrystal%20%28CNC%29%20dispersed.pdf 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)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
D., Ramasamy
K., Kadirgama
W. H., Azmi
M. M., Rahman
Mahendran, Samykano
W. S., W. Harun
Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture
description 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.
format Conference or Workshop Item
author D., Ramasamy
K., Kadirgama
W. H., Azmi
M. M., Rahman
Mahendran, Samykano
W. S., W. Harun
author_facet D., Ramasamy
K., Kadirgama
W. H., Azmi
M. M., Rahman
Mahendran, Samykano
W. S., W. Harun
author_sort D., Ramasamy
title Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture
title_short Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture
title_full Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture
title_fullStr Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture
title_full_unstemmed Prediction modelling for Cellulose Nanocrystal (CNC) dispersed in ethylene glycol- water mixture
title_sort prediction modelling for cellulose nanocrystal (cnc) dispersed in ethylene glycol- water mixture
publisher Universiti Malaysia Pahang
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26109/
http://umpir.ump.edu.my/id/eprint/26109/1/88.%20Prediction%20modelling%20for%20Cellulose%20Nanocrystal%20%28CNC%29%20dispersed.pdf
http://umpir.ump.edu.my/id/eprint/26109/2/88.1%20Prediction%20modelling%20for%20Cellulose%20Nanocrystal%20%28CNC%29%20dispersed.pdf
first_indexed 2023-09-18T22:40:27Z
last_indexed 2023-09-18T22:40:27Z
_version_ 1777416879892070400

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