A computational analysis of hybrid nanofluids on heat transfer amelioration through a conical helical shell-and-tube heat exchanger under turbulent flow conditions

This research work examines the pressure drop and heat transfer trends within a conical helical tube heat exchanger utilizing pure water and hybrid nanofluids, namely Water/ A g − H E G and Water/ M O S 2 − F e 3 O 4 . The numerical simulation is performed using a Computational Fluids Dynamics (CFD) code in three-dimensional space according to the Finite Volume Method (FVM) for all examined cases. Also, turbulent flow regimes are conducted in this analysis employing the standard k–ε turbulence model, within the Dean Number (De) range of 2200 < De < 4250. In this regard, the proposed thermo fluids are evaluated under the same geometric and thermal conditions to assess their thermal performance parameters. Subsequently, the fluid exhibiting superior thermal performance is further analyzed at specific volume fractions. Results revealed that Water/ M O S 2 − F e 3 O 4 outperforms the other two fluids in terms of thermal performance, and the Nusselt Number for the hybrid nanofluid of Water/ M O S 2 − F e 3 O 4 is superior to that of water at diverse volume fractions of the nanofluids. Moreover, according to the outcomes, it was found that the pressure drop caused by the presence of the M O S 2 − F e 3 O 4 nanoparticles at volume fractions of 0.1 %, 0.3 %, and 0.5 % are 11 %, 19 %, and 20 % more than that of water, respectively. Thereby, the hybrid nanofluid of Water/ M O S 2 − F e 3 O 4 can be an alternative heat transfer fluid to conventional fluids in conical helical tube heat exchangers, improving heat transfer while maintaining an adequate pressure drop. Furthermore, as the Dean Number augments, the heat transfer coefficient (HTC) demonstrates an upward trend for all considered volume fractions of the hybrid nanofluids. Additionally, this phenomenon is ascribed to the intensified fluid velocity and interaction with the twisted wire, creating rotational and turbulent motion within the fluid, which leads to more frequent interaction between the coil wall and the fluid, therefore ameliorating the HTC between the two fluids which this value will be higher for nanofluids with a more significant volume fraction. At a constant Dean Number of 4250, the HTC was improved by approximately 200 % using hybrid nanofluid Water/ M O S 2 − F e 3 O 4 with a φ = 0.7 in comparison with pure water. Besides, the optimum thermal performance across all Dean Numbers is observed in models with volume fractions φ 1 = φ 2 = 0.7, peaking at about 2.72 for the hybrid nanofluid of Water/ M O S 2 − F e 3 O 4 at De = 3560.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2025-05-01
DOI
https://doi.org/10.1016/j.csite.2025.106230
Citations
5
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
3.37
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article

A computational analysis of hybrid nanofluids on heat transfer amelioration through a conical helical shell-and-tube heat exchanger under turbulent flow conditions

Mehdi Miansari, Sh. Baghaei, Hesam Moghadasi, Soheil Salahshour et al.
5 citations
Case Studies in Thermal Engineering
Nanofluid Flow and Heat Transfer
3.37
article

A computational analysis of hybrid nanofluids on heat transfer amelioration through a conical helical shell-and-tube heat exchanger under turbulent flow conditions

Mehdi Miansari, Sh. Baghaei, Hesam Moghadasi, Soheil Salahshour, Omid Ali Akbari, Fardin Nurpasand
article en
5 citations

Abstract

This research work examines the pressure drop and heat transfer trends within a conical helical tube heat exchanger utilizing pure water and hybrid nanofluids, namely Water/ A g − H E G and Water/ M O S 2 − F e 3 O 4 . The numerical simulation is performed using a Computational Fluids Dynamics (CFD) code in three-dimensional space according to the Finite Volume Method (FVM) for all examined cases. Also, turbulent flow regimes are conducted in this analysis employing the standard k–ε turbulence model, within the Dean Number (De) range of 2200 < De < 4250. In this regard, the proposed thermo fluids are evaluated under the same geometric and thermal conditions to assess their thermal performance parameters. Subsequently, the fluid exhibiting superior thermal performance is further analyzed at specific volume fractions. Results revealed that Water/ M O S 2 − F e 3 O 4 outperforms the other two fluids in terms of thermal performance, and the Nusselt Number for the hybrid nanofluid of Water/ M O S 2 − F e 3 O 4 is superior to that of water at diverse volume fractions of the nanofluids. Moreover, according to the outcomes, it was found that the pressure drop caused by the presence of the M O S 2 − F e 3 O 4 nanoparticles at volume fractions of 0.1 %, 0.3 %, and 0.5 % are 11 %, 19 %, and 20 % more than that of water, respectively. Thereby, the hybrid nanofluid of Water/ M O S 2 − F e 3 O 4 can be an alternative heat transfer fluid to conventional fluids in conical helical tube heat exchangers, improving heat transfer while maintaining an adequate pressure drop. Furthermore, as the Dean Number augments, the heat transfer coefficient (HTC) demonstrates an upward trend for all considered volume fractions of the hybrid nanofluids. Additionally, this phenomenon is ascribed to the intensified fluid velocity and interaction with the twisted wire, creating rotational and turbulent motion within the fluid, which leads to more frequent interaction between the coil wall and the fluid, therefore ameliorating the HTC between the two fluids which this value will be higher for nanofluids with a more significant volume fraction. At a constant Dean Number of 4250, the HTC was improved by approximately 200 % using hybrid nanofluid Water/ M O S 2 − F e 3 O 4 with a φ = 0.7 in comparison with pure water. Besides, the optimum thermal performance across all Dean Numbers is observed in models with volume fractions φ 1 = φ 2 = 0.7, peaking at about 2.72 for the hybrid nanofluid of Water/ M O S 2 − F e 3 O 4 at De = 3560.

Case Studies in Thermal EngineeringVol. 71
Khazar University (AZ), Bahçeşehir University (TR), Arak University (IR), Qaemshahr Islamic Azad University (IR), Computing Center (RU), Okan University (TR)
Openalex Percentile: Top 8%
Nanofluid Flow and Heat Transfer
3.37
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