LAPSE:2024.0192
Published Article
LAPSE:2024.0192
Experimental and Computational Fluid Dynamic—CFD Analysis Simulation of Heat Transfer Using Graphene Nanoplatelets GNP/Water in the Double Tube Heat Exchanger
February 10, 2024
This study investigates and compares the experimental heat transfer performance and simulation via computational fluid dynamics (CFD) of graphene nanoplatelets (GNP) and water nanofluids GNP/water in the double-tube-type heat exchanger (DTHE). Tests were conducted with water/water and GNP/water fluids, with the nanofluid for the hot-fluid circuit and water for the cold-fluid circuit, with counterflow direction, varying the nanofluid concentrations by weight (wt%) at 0.0125%, 0.025%, and 0.050%, the operating temperature at 50 and 60 °C, and Reynolds numbers between 2000−6000. The results showed that 0.025 wt% GNP presented better thermal performance, with a 28% increase in the temperature gain. The 0.025 wt% GNP had slightly better performance for the Nusselt number (Nu), and the 0.05 wt% GNP had a slightly better thermal effectiveness. The comparison between the experimental values showed good agreement with those calculated by empirical correlations and the CFD model, with maximum and minimum relative error values of 9% and 1%, respectively, when the Petukhov equation was used.
Keywords
double tube heat exchangers, graphene, heat transfer, nanofluids
Suggested Citation
Lima CCXS, Ochoa AAV, da Costa JAP, de Menezes FD, Alves JVP, Ferreira JMGA, Azevedo CCA, Michima PSA, Leite GNP. Experimental and Computational Fluid Dynamic—CFD Analysis Simulation of Heat Transfer Using Graphene Nanoplatelets GNP/Water in the Double Tube Heat Exchanger. (2024). LAPSE:2024.0192
Author Affiliations
Lima CCXS: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil [ORCID]
Ochoa AAV: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil; Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Lu [ORCID]
da Costa JAP: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil; Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Lu [ORCID]
de Menezes FD: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil; Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Lu [ORCID]
Alves JVP: Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Luiz Freire, 500, Recife 50740-545, Brazil
Ferreira JMGA: Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Luiz Freire, 500, Recife 50740-545, Brazil
Azevedo CCA: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil
Michima PSA: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil [ORCID]
Leite GNP: Department of Mechanical Engineering, Federal University of Pernambuco, Cidade Universitaria, 1235, Recife 50670-901, Brazil; Department of Higher Education Courses (DACS), Federal Institute of Education, Science and Technology of Pernambuco, Av. Prof. Lu [ORCID]
Journal Name
Processes
Volume
11
Issue
9
First Page
2735
Year
2023
Publication Date
2023-09-13
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11092735, Publication Type: Journal Article
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LAPSE:2024.0192
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doi:10.3390/pr11092735
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Feb 10, 2024
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Feb 10, 2024
 
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Feb 10, 2024
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Original Submitter
Calvin Tsay
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