Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology

Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology

Combined experimental-statistical approach for effective thermal conductivity and relative viscosity determination were investigated in this present study. Nanofluid used was dispersion of novel nanomaterial Cellulose Nanocrystal (CNC) in ethylene glycol-deionized water mixture at volume base ratio...

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Main Authors: K., Ramachandran, K., Kadirgama, D., Ramasamy, Azmi, W. H., F. , Tarlochan
Format: Article
Language:English
English
Published: Elsevier Ltd 2017
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/17791/
http://umpir.ump.edu.my/id/eprint/17791/
http://umpir.ump.edu.my/id/eprint/17791/
http://umpir.ump.edu.my/id/eprint/17791/2/Investigation%20on%20effective%20thermal%20conductivity%20and%20relative%20viscosity%20of%20cellulose%20nanocrystal%20as%20a%20nanofluidic%20thermal%20transport%20through%20a%20combined%20experimental%20%E2%80%93%20Statistical%20approach%20by%20using%20Response%20Surface%20Methodol.pdf
http://umpir.ump.edu.my/id/eprint/17791/3/Investigation%20on%20effective%20thermal%20conductivity%20and%20relative%20viscosity%20of%20cellulose%20nanocrystal%20as%20a%20nanofluidic%20thermal%20transport%20through%20a%20combined%20experimental%20%E2%80%93%20Statistical%20approach%20by%20using%20Response%20Surface%20Methodol%201.pdf
id ump-17791
recordtype eprints
spelling ump-177912017-09-12T06:41:06Z http://umpir.ump.edu.my/id/eprint/17791/ Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology K., Ramachandran K., Kadirgama D., Ramasamy Azmi, W. H. F. , Tarlochan TJ Mechanical engineering and machinery Combined experimental-statistical approach for effective thermal conductivity and relative viscosity determination were investigated in this present study. Nanofluid used was dispersion of novel nanomaterial Cellulose Nanocrystal (CNC) in ethylene glycol-deionized water mixture at volume base ratio of 50:50 (BR = 0.5) and 60:40 (BR = 0.6). Influence of temperature, volume concentration and ethylene glycol volume base ratio (BR) is used to develop empirical mathematical model by using Response Surface Methodology (RSM) based on Central Composite Design (CCD) with aid of Minitab 17 statistical analysis software. The significance of the developed empirical mathematical model is validated by using Analysis of variance (ANOVA). Maximum effective thermal effectivity obtained is 1.127 and maximum relative viscosity is 4.521 which is recorded at 70 °C temperature, volume concentration of 0.9%, and BR of 0.5. Thus, effective thermal conductivity and relative viscosity has proportional relation with temperature and volume concentration which is supported by contour and surface plot from statistical software. Developed empirical model using RSM has good fit with the experimental data with maximum error of 0.77% for effective thermal conductivity and maximum error of 2.48% for relative viscosity. Elsevier Ltd 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17791/2/Investigation%20on%20effective%20thermal%20conductivity%20and%20relative%20viscosity%20of%20cellulose%20nanocrystal%20as%20a%20nanofluidic%20thermal%20transport%20through%20a%20combined%20experimental%20%E2%80%93%20Statistical%20approach%20by%20using%20Response%20Surface%20Methodol.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17791/3/Investigation%20on%20effective%20thermal%20conductivity%20and%20relative%20viscosity%20of%20cellulose%20nanocrystal%20as%20a%20nanofluidic%20thermal%20transport%20through%20a%20combined%20experimental%20%E2%80%93%20Statistical%20approach%20by%20using%20Response%20Surface%20Methodol%201.pdf K., Ramachandran and K., Kadirgama and D., Ramasamy and Azmi, W. H. and F. , Tarlochan (2017) Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology. Applied Thermal Engineering, 122. pp. 473-483. ISSN 1359-4311 http://www.sciencedirect.com/science/article/pii/S1359431117308372 doi: org/10.1016/j.applthermaleng.2017.04.049
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
K., Ramachandran
K., Kadirgama
D., Ramasamy
Azmi, W. H.
F. , Tarlochan
Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology
description Combined experimental-statistical approach for effective thermal conductivity and relative viscosity determination were investigated in this present study. Nanofluid used was dispersion of novel nanomaterial Cellulose Nanocrystal (CNC) in ethylene glycol-deionized water mixture at volume base ratio of 50:50 (BR = 0.5) and 60:40 (BR = 0.6). Influence of temperature, volume concentration and ethylene glycol volume base ratio (BR) is used to develop empirical mathematical model by using Response Surface Methodology (RSM) based on Central Composite Design (CCD) with aid of Minitab 17 statistical analysis software. The significance of the developed empirical mathematical model is validated by using Analysis of variance (ANOVA). Maximum effective thermal effectivity obtained is 1.127 and maximum relative viscosity is 4.521 which is recorded at 70 °C temperature, volume concentration of 0.9%, and BR of 0.5. Thus, effective thermal conductivity and relative viscosity has proportional relation with temperature and volume concentration which is supported by contour and surface plot from statistical software. Developed empirical model using RSM has good fit with the experimental data with maximum error of 0.77% for effective thermal conductivity and maximum error of 2.48% for relative viscosity.
format Article
author K., Ramachandran
K., Kadirgama
D., Ramasamy
Azmi, W. H.
F. , Tarlochan
author_facet K., Ramachandran
K., Kadirgama
D., Ramasamy
Azmi, W. H.
F. , Tarlochan
author_sort K., Ramachandran
title Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology
title_short Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology
title_full Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology
title_fullStr Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology
title_full_unstemmed Investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – Statistical approach by using Response Surface Methodology
title_sort investigation on effective thermal conductivity and relative viscosity of cellulose nanocrystal as a nanofluidic thermal transport through a combined experimental – statistical approach by using response surface methodology
publisher Elsevier Ltd
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/17791/
http://umpir.ump.edu.my/id/eprint/17791/
http://umpir.ump.edu.my/id/eprint/17791/
http://umpir.ump.edu.my/id/eprint/17791/2/Investigation%20on%20effective%20thermal%20conductivity%20and%20relative%20viscosity%20of%20cellulose%20nanocrystal%20as%20a%20nanofluidic%20thermal%20transport%20through%20a%20combined%20experimental%20%E2%80%93%20Statistical%20approach%20by%20using%20Response%20Surface%20Methodol.pdf
http://umpir.ump.edu.my/id/eprint/17791/3/Investigation%20on%20effective%20thermal%20conductivity%20and%20relative%20viscosity%20of%20cellulose%20nanocrystal%20as%20a%20nanofluidic%20thermal%20transport%20through%20a%20combined%20experimental%20%E2%80%93%20Statistical%20approach%20by%20using%20Response%20Surface%20Methodol%201.pdf
first_indexed 2023-09-18T22:24:47Z
last_indexed 2023-09-18T22:24:47Z
_version_ 1777415893364506624

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