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Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids

In this study, Response Surface Methodology (RSM) is being used to optimize density, viscosity, and thermal conductivity in CuO-polyaniline/palm oil hybrid nanofluids. Using a Central Composite Design (CCD) within RSM, researchers are systematically exploring the impact of temperature (ranging from...

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Main Authors: Sofiah A.G.N., Pasupuleti J., Samykano M., Rajamony R.K., Pandey A.K., Sulaiman N.F., Che Ramli Z.A., Tiong S.K., Koh S.P.
Other Authors: 57197805797
Format: Article
Published: Elsevier Ltd 2025
Subjects:
Analysis of variance (ANOVA)
Copper oxides
Cost effectiveness
Fuel cells
Multiobjective optimization
Nanofluidics
Reliability analysis
Surface roughness
Thermodynamic properties
Time domain analysis
Viscosity
Density
Energy
Hybrid nanofluid
Nanoadditives
Nanofluids
Performance factors
Price performance factor
Price-performance
Response-surface methodology
Volume concentration
Palm oil
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spelling my.uniten.dspace-371982025-03-03T15:48:34Z Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids Sofiah A.G.N. Pasupuleti J. Samykano M. Rajamony R.K. Pandey A.K. Sulaiman N.F. Che Ramli Z.A. Tiong S.K. Koh S.P. 57197805797 11340187300 57192878324 57218845246 36139061100 57215633057 58160002600 15128307800 22951210700 Analysis of variance (ANOVA) Copper oxides Cost effectiveness Fuel cells Multiobjective optimization Nanofluidics Reliability analysis Surface roughness Thermodynamic properties Time domain analysis Viscosity Density Energy Hybrid nanofluid Nanoadditives Nanofluids Performance factors Price performance factor Price-performance Response-surface methodology Volume concentration Palm oil In this study, Response Surface Methodology (RSM) is being used to optimize density, viscosity, and thermal conductivity in CuO-polyaniline/palm oil hybrid nanofluids. Using a Central Composite Design (CCD) within RSM, researchers are systematically exploring the impact of temperature (ranging from 30 to 60 �C), volume concentration of nanoadditives (varying from 0.1 to 0.5 vol%) and CuO composition (ranging from 1 to 10 wt%) on the thermophysical properties of these nanofluids. This research is pioneering in its evaluation of the price performance factor (PPF) for these nanofluids. To ensure model reliability, Analysis of Variance (ANOVA) is being applied. The findings showcase robust models, as indicated by a 45� angle line within the predicted vs. actual data graph. The models exhibit impressive R2 values: 98.66 % for density, 99.93 % for viscosity, and 99.91 % for thermal conductivity, underscoring the agreement between predicted and actual data. Optimal values for density, viscosity, and thermal conductivity are being obtained: 0.901532 g/mL, 37.1229 mPa s, and 0.356891 W/mK, respectively. These correspond to critical parameters of 53.92 �C for temperature, 0.038 vol% for volume concentration of nanoadditives and 2.90 wt% for CuO composition. Moreover, the price performance factor (PPF) assessment reveals that higher thermal conductivity doesn't necessarily equate to greater cost-effectiveness. ? 2023 The Author(s) Final 2025-03-03T07:48:33Z 2025-03-03T07:48:33Z 2024 Article 10.1016/j.csite.2023.103931 2-s2.0-85180997682 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180997682&doi=10.1016%2fj.csite.2023.103931&partnerID=40&md5=bbfe19918271f4d00dd4f182a7cd0ae2 https://irepository.uniten.edu.my/handle/123456789/37198 53 103931 All Open Access; Gold Open Access Elsevier Ltd 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/
topic Analysis of variance (ANOVA)
Copper oxides
Cost effectiveness
Fuel cells
Multiobjective optimization
Nanofluidics
Reliability analysis
Surface roughness
Thermodynamic properties
Time domain analysis
Viscosity
Density
Energy
Hybrid nanofluid
Nanoadditives
Nanofluids
Performance factors
Price performance factor
Price-performance
Response-surface methodology
Volume concentration
Palm oil
spellingShingle Analysis of variance (ANOVA)
Copper oxides
Cost effectiveness
Fuel cells
Multiobjective optimization
Nanofluidics
Reliability analysis
Surface roughness
Thermodynamic properties
Time domain analysis
Viscosity
Density
Energy
Hybrid nanofluid
Nanoadditives
Nanofluids
Performance factors
Price performance factor
Price-performance
Response-surface methodology
Volume concentration
Palm oil
Sofiah A.G.N.
Pasupuleti J.
Samykano M.
Rajamony R.K.
Pandey A.K.
Sulaiman N.F.
Che Ramli Z.A.
Tiong S.K.
Koh S.P.
Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids
description In this study, Response Surface Methodology (RSM) is being used to optimize density, viscosity, and thermal conductivity in CuO-polyaniline/palm oil hybrid nanofluids. Using a Central Composite Design (CCD) within RSM, researchers are systematically exploring the impact of temperature (ranging from 30 to 60 �C), volume concentration of nanoadditives (varying from 0.1 to 0.5 vol%) and CuO composition (ranging from 1 to 10 wt%) on the thermophysical properties of these nanofluids. This research is pioneering in its evaluation of the price performance factor (PPF) for these nanofluids. To ensure model reliability, Analysis of Variance (ANOVA) is being applied. The findings showcase robust models, as indicated by a 45� angle line within the predicted vs. actual data graph. The models exhibit impressive R2 values: 98.66 % for density, 99.93 % for viscosity, and 99.91 % for thermal conductivity, underscoring the agreement between predicted and actual data. Optimal values for density, viscosity, and thermal conductivity are being obtained: 0.901532 g/mL, 37.1229 mPa s, and 0.356891 W/mK, respectively. These correspond to critical parameters of 53.92 �C for temperature, 0.038 vol% for volume concentration of nanoadditives and 2.90 wt% for CuO composition. Moreover, the price performance factor (PPF) assessment reveals that higher thermal conductivity doesn't necessarily equate to greater cost-effectiveness. ? 2023 The Author(s)
author2 57197805797
author_facet 57197805797
Sofiah A.G.N.
Pasupuleti J.
Samykano M.
Rajamony R.K.
Pandey A.K.
Sulaiman N.F.
Che Ramli Z.A.
Tiong S.K.
Koh S.P.
format Article
author Sofiah A.G.N.
Pasupuleti J.
Samykano M.
Rajamony R.K.
Pandey A.K.
Sulaiman N.F.
Che Ramli Z.A.
Tiong S.K.
Koh S.P.
author_sort Sofiah A.G.N.
title Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids
title_short Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids
title_full Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids
title_fullStr Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids
title_full_unstemmed Potential coolants for fuel cell application: Multi-objective optimization of thermophysical properties and PPF calculation of hybrid palm oil nanofluids
title_sort potential coolants for fuel cell application: multi-objective optimization of thermophysical properties and ppf calculation of hybrid palm oil nanofluids
publisher Elsevier Ltd
publishDate 2025
_version_ 1826077777421402112
score 13.244413

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