Home > Research > Publications & Outputs > Optimization of Thermal Conductivity of NanoPCM...

Links

Text available via DOI:

View graph of relations

Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology. / Aslfattahi, N.; Zendehboudi, A.; Rahman, S. et al.
In: Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, Vol. 75, No. 3, 01.11.2020, p. 108-125.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Aslfattahi, N, Zendehboudi, A, Rahman, S, Mohd Sabri, MF, Said, SM, [Unknown], A & Che Sidik, NA 2020, 'Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology', Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, vol. 75, no. 3, pp. 108-125. https://doi.org/10.37934/arfmts.75.3.108125

APA

Aslfattahi, N., Zendehboudi, A., Rahman, S., Mohd Sabri, M. F., Said, S. M., [Unknown], A., & Che Sidik, N. A. (2020). Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 75(3), 108-125. https://doi.org/10.37934/arfmts.75.3.108125

Vancouver

Aslfattahi N, Zendehboudi A, Rahman S, Mohd Sabri MF, Said SM, [Unknown] A et al. Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 2020 Nov 1;75(3):108-125. Epub 2020 Sept 25. doi: 10.37934/arfmts.75.3.108125

Author

Aslfattahi, N. ; Zendehboudi, A. ; Rahman, S. et al. / Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology. In: Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 2020 ; Vol. 75, No. 3. pp. 108-125.

Bibtex

@article{5ded5cc2859a4d50a87e697915d9ea6f,
title = "Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology",
abstract = "Common phase change materials (PCMs) possess very low thermal conductivity whilst hybrid PCM with graphene filler could be produced to achieve increased thermal conductivity. This research focuses on the effects of graphene flakes on the thermal conductivity of a PCM (paraffin wax). Three experimental parameters at different levels of average lateral sizes of graphene flakes (4.5, 5 and 7µm), mass fractions (0.1, 0.2 and 0.25 wt.%), and rising temperatures (25-75°C) are considered. For the first time in the literature, the impact of various parameters on the thermal conductivity performance of the nanoPCM-based graphene nano-composites is investigated extensively by adopting response surface methodology supported by central composite design. Thermal conductivity prediction is proposed by a new general correlation and a promising value of the coefficient of determination (R2) higher than 0.88. Amongst the investigated various variables in terms of impact on thermal conductivity, the temperature is identified as the most influential parameter on response variables. According to the implemented optimization technique, for the composite with the average graphene flake size of 4.5 µm, the optimum value of the thermal conductivity is found 0.275 W/m K at the mass fraction of 0.186 wt.% and temperature of 69.73°C. ",
keywords = "2FI Model, Desirability Function, NanoPCM, Response Surface Methodology, Thermal Conductivity",
author = "N. Aslfattahi and A. Zendehboudi and S. Rahman and {Mohd Sabri}, M.F. and S.M. Said and Arifutzzaman [Unknown] and {Che Sidik}, N.A.",
year = "2020",
month = nov,
day = "1",
doi = "10.37934/arfmts.75.3.108125",
language = "English",
volume = "75",
pages = "108--125",
journal = "Journal of Advanced Research in Fluid Mechanics and Thermal Sciences",
number = "3",

}

RIS

TY - JOUR

T1 - Optimization of Thermal Conductivity of NanoPCM-Based Graphene by Response Surface Methodology

AU - Aslfattahi, N.

AU - Zendehboudi, A.

AU - Rahman, S.

AU - Mohd Sabri, M.F.

AU - Said, S.M.

AU - [Unknown], Arifutzzaman

AU - Che Sidik, N.A.

PY - 2020/11/1

Y1 - 2020/11/1

N2 - Common phase change materials (PCMs) possess very low thermal conductivity whilst hybrid PCM with graphene filler could be produced to achieve increased thermal conductivity. This research focuses on the effects of graphene flakes on the thermal conductivity of a PCM (paraffin wax). Three experimental parameters at different levels of average lateral sizes of graphene flakes (4.5, 5 and 7µm), mass fractions (0.1, 0.2 and 0.25 wt.%), and rising temperatures (25-75°C) are considered. For the first time in the literature, the impact of various parameters on the thermal conductivity performance of the nanoPCM-based graphene nano-composites is investigated extensively by adopting response surface methodology supported by central composite design. Thermal conductivity prediction is proposed by a new general correlation and a promising value of the coefficient of determination (R2) higher than 0.88. Amongst the investigated various variables in terms of impact on thermal conductivity, the temperature is identified as the most influential parameter on response variables. According to the implemented optimization technique, for the composite with the average graphene flake size of 4.5 µm, the optimum value of the thermal conductivity is found 0.275 W/m K at the mass fraction of 0.186 wt.% and temperature of 69.73°C.

AB - Common phase change materials (PCMs) possess very low thermal conductivity whilst hybrid PCM with graphene filler could be produced to achieve increased thermal conductivity. This research focuses on the effects of graphene flakes on the thermal conductivity of a PCM (paraffin wax). Three experimental parameters at different levels of average lateral sizes of graphene flakes (4.5, 5 and 7µm), mass fractions (0.1, 0.2 and 0.25 wt.%), and rising temperatures (25-75°C) are considered. For the first time in the literature, the impact of various parameters on the thermal conductivity performance of the nanoPCM-based graphene nano-composites is investigated extensively by adopting response surface methodology supported by central composite design. Thermal conductivity prediction is proposed by a new general correlation and a promising value of the coefficient of determination (R2) higher than 0.88. Amongst the investigated various variables in terms of impact on thermal conductivity, the temperature is identified as the most influential parameter on response variables. According to the implemented optimization technique, for the composite with the average graphene flake size of 4.5 µm, the optimum value of the thermal conductivity is found 0.275 W/m K at the mass fraction of 0.186 wt.% and temperature of 69.73°C.

KW - 2FI Model

KW - Desirability Function

KW - NanoPCM

KW - Response Surface Methodology

KW - Thermal Conductivity

U2 - 10.37934/arfmts.75.3.108125

DO - 10.37934/arfmts.75.3.108125

M3 - Journal article

VL - 75

SP - 108

EP - 125

JO - Journal of Advanced Research in Fluid Mechanics and Thermal Sciences

JF - Journal of Advanced Research in Fluid Mechanics and Thermal Sciences

IS - 3

ER -