Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method

The hybrid nanofluid's synergetic effect is proportional to the mixing ratio. However, the One Factor at A Time (OFAT) method only displays the optimised mixing ratio when the mixing ratio used in the respective experiments is specified. Thus, the purpose of this study is to optimise the nanopa...

Full description

Saved in:
Bibliographic Details
Main Authors: Harun M.A., Sidik N.A.C., Gunnasegaran P.
Other Authors: 57216258694
Format: Article
Published: Penerbit Akademia Baru 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-27041
record_format dspace
spelling my.uniten.dspace-270412023-05-29T17:38:56Z Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method Harun M.A. Sidik N.A.C. Gunnasegaran P. 57216258694 57204852231 35778031300 The hybrid nanofluid's synergetic effect is proportional to the mixing ratio. However, the One Factor at A Time (OFAT) method only displays the optimised mixing ratio when the mixing ratio used in the respective experiments is specified. Thus, the purpose of this study is to optimise the nanoparticle mixing ratio using Design of Experiment (DOE) in Design Expert 11 to cover the entire range of mixing ratios with the fewest experiments possible. The prepared hybrid nanofluid comprises Titanium Dioxide (TiO2) and Graphene Nanoplatelets (GNP) at a concentration of 0.3vol%, a mixing ratio ranging from 1:9 to 9:1, and temperature ranging from 30oC to 60oC. However, the DOE method generates only 1:9, 1:1, and 9:1 mixing ratios. ANOVA analysis was used to generate a model for thermal conductivity. Additionally, the optimisation results indicate that a mixing ratio of 1:4 (TiO2-GNP) and a temperature of 40oC are the optimised parameters. The difference between the measured and predicted thermal conductivity values was less than 5%. � 2022, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. All Rights Reserved. Final 2023-05-29T09:38:56Z 2023-05-29T09:38:56Z 2022 Article 10.37934/arfmts.100.3.2334 2-s2.0-85146312075 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146312075&doi=10.37934%2farfmts.100.3.2334&partnerID=40&md5=02afab9fc63e7be9cf84863fb4fc2c4b https://irepository.uniten.edu.my/handle/123456789/27041 100 3 23 34 All Open Access, Hybrid Gold Penerbit Akademia Baru Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The hybrid nanofluid's synergetic effect is proportional to the mixing ratio. However, the One Factor at A Time (OFAT) method only displays the optimised mixing ratio when the mixing ratio used in the respective experiments is specified. Thus, the purpose of this study is to optimise the nanoparticle mixing ratio using Design of Experiment (DOE) in Design Expert 11 to cover the entire range of mixing ratios with the fewest experiments possible. The prepared hybrid nanofluid comprises Titanium Dioxide (TiO2) and Graphene Nanoplatelets (GNP) at a concentration of 0.3vol%, a mixing ratio ranging from 1:9 to 9:1, and temperature ranging from 30oC to 60oC. However, the DOE method generates only 1:9, 1:1, and 9:1 mixing ratios. ANOVA analysis was used to generate a model for thermal conductivity. Additionally, the optimisation results indicate that a mixing ratio of 1:4 (TiO2-GNP) and a temperature of 40oC are the optimised parameters. The difference between the measured and predicted thermal conductivity values was less than 5%. � 2022, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. All Rights Reserved.
author2 57216258694
author_facet 57216258694
Harun M.A.
Sidik N.A.C.
Gunnasegaran P.
format Article
author Harun M.A.
Sidik N.A.C.
Gunnasegaran P.
spellingShingle Harun M.A.
Sidik N.A.C.
Gunnasegaran P.
Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method
author_sort Harun M.A.
title Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method
title_short Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method
title_full Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method
title_fullStr Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method
title_full_unstemmed Optimising The Mixing Ratio of Hybrid Nanofluids Based on Their Thermal Conductivity and Dynamic Viscosity Properties Using Design of Experiment Method
title_sort optimising the mixing ratio of hybrid nanofluids based on their thermal conductivity and dynamic viscosity properties using design of experiment method
publisher Penerbit Akademia Baru
publishDate 2023
_version_ 1806427839417810944
score 13.214268