Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method

Soudeh Iranmanesh; Mohammad Mehrali; Emad Sadeghinezhad; Bee Chin Ang; Hwai Chyuan Ong; Alireza Esmaeilzadeh

doi:10.1016/j.icheatmasstransfer.2016.10.004

Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method

Soudeh Iranmanesh, Mohammad Mehrali^*, Emad Sadeghinezhad, Bee Chin Ang, Hwai Chyuan Ong, Alireza Esmaeilzadeh

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

69 Citations (Scopus)

Abstract

In the present study, three influential parameters including concentration, temperature and specific surface area of graphene nanosheets were investigated, which are the effective parameters on the viscosity and thermal conductivity of aqueous graphene nanosheets (GNP) nanofluids. A mathematical model developed by respond surface methodology (RSM) based on a central composite design (CCD). Also, the significance of the models was tested using the analysis of variance (ANOVA). The optimum results of aqueous GNP nanofluid showed that the concentration has a direct effect on the relative viscosity and thermal conductivity. Furthermore, predicted responses proposed by the Design Expert software were compared with the experimental results. The statistical analysis of the predicted values was in satisfactory agreement with the empirical data.

Original language	English
Pages (from-to)	74-80
Number of pages	7
Journal	International Communications in Heat and Mass Transfer
Volume	79
DOIs	https://doi.org/10.1016/j.icheatmasstransfer.2016.10.004
Publication status	Published - 1 Dec 2016
Externally published	Yes

Keywords

Graphene nanoplatelets
Nanofluid
Respond surface methodology
Thermal conductivity
Viscosity

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10.1016/j.icheatmasstransfer.2016.10.004

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Iranmanesh, S., Mehrali, M., Sadeghinezhad, E., Ang, B. C., Ong, H. C., & Esmaeilzadeh, A. (2016). Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method. International Communications in Heat and Mass Transfer, 79, 74-80. https://doi.org/10.1016/j.icheatmasstransfer.2016.10.004

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abstract = "In the present study, three influential parameters including concentration, temperature and specific surface area of graphene nanosheets were investigated, which are the effective parameters on the viscosity and thermal conductivity of aqueous graphene nanosheets (GNP) nanofluids. A mathematical model developed by respond surface methodology (RSM) based on a central composite design (CCD). Also, the significance of the models was tested using the analysis of variance (ANOVA). The optimum results of aqueous GNP nanofluid showed that the concentration has a direct effect on the relative viscosity and thermal conductivity. Furthermore, predicted responses proposed by the Design Expert software were compared with the experimental results. The statistical analysis of the predicted values was in satisfactory agreement with the empirical data.",

keywords = "Graphene nanoplatelets, Nanofluid, Respond surface methodology, Thermal conductivity, Viscosity",

author = "Soudeh Iranmanesh and Mohammad Mehrali and Emad Sadeghinezhad and Ang, {Bee Chin} and Ong, {Hwai Chyuan} and Alireza Esmaeilzadeh",

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Iranmanesh, S, Mehrali, M, Sadeghinezhad, E, Ang, BC, Ong, HC & Esmaeilzadeh, A 2016, 'Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method', International Communications in Heat and Mass Transfer, vol. 79, pp. 74-80. https://doi.org/10.1016/j.icheatmasstransfer.2016.10.004

Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method. / Iranmanesh, Soudeh; Mehrali, Mohammad; Sadeghinezhad, Emad et al.
In: International Communications in Heat and Mass Transfer, Vol. 79, 01.12.2016, p. 74-80.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method

AU - Iranmanesh, Soudeh

AU - Mehrali, Mohammad

AU - Sadeghinezhad, Emad

AU - Ang, Bee Chin

AU - Ong, Hwai Chyuan

AU - Esmaeilzadeh, Alireza

PY - 2016/12/1

Y1 - 2016/12/1

N2 - In the present study, three influential parameters including concentration, temperature and specific surface area of graphene nanosheets were investigated, which are the effective parameters on the viscosity and thermal conductivity of aqueous graphene nanosheets (GNP) nanofluids. A mathematical model developed by respond surface methodology (RSM) based on a central composite design (CCD). Also, the significance of the models was tested using the analysis of variance (ANOVA). The optimum results of aqueous GNP nanofluid showed that the concentration has a direct effect on the relative viscosity and thermal conductivity. Furthermore, predicted responses proposed by the Design Expert software were compared with the experimental results. The statistical analysis of the predicted values was in satisfactory agreement with the empirical data.

AB - In the present study, three influential parameters including concentration, temperature and specific surface area of graphene nanosheets were investigated, which are the effective parameters on the viscosity and thermal conductivity of aqueous graphene nanosheets (GNP) nanofluids. A mathematical model developed by respond surface methodology (RSM) based on a central composite design (CCD). Also, the significance of the models was tested using the analysis of variance (ANOVA). The optimum results of aqueous GNP nanofluid showed that the concentration has a direct effect on the relative viscosity and thermal conductivity. Furthermore, predicted responses proposed by the Design Expert software were compared with the experimental results. The statistical analysis of the predicted values was in satisfactory agreement with the empirical data.

KW - Graphene nanoplatelets

KW - Nanofluid

KW - Respond surface methodology

KW - Thermal conductivity

KW - Viscosity

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Iranmanesh S, Mehrali M, Sadeghinezhad E, Ang BC, Ong HC, Esmaeilzadeh A. Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method. International Communications in Heat and Mass Transfer. 2016 Dec 1;79:74-80. doi: 10.1016/j.icheatmasstransfer.2016.10.004

Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method

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