An estimation for velocity and temperature profiles of nanofluids in fully developed turbulent flow conditions

Meibodi, Majid Emami; Vafaie-Sefti, Mohsen; Rashidi, Alimorad; Amrollahi, Azadeh; Tabasi, Mohsen; Kalal, Hossein Sid

doi:10.1016/j.icheatmasstransfer.2010.03.012

Cited by 20 publications

(5 citation statements)

References 15 publications

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“…3 Experimental set-up Figure 1 shows the experimental loop used for determination of overall heat transfer coefficient and pressure drop. Nanofluid from the container (1) was delivered by the pump (2) through a cooling system (3,4) to the shell-and -tube heat exchanger (6). The shell of the exchanger was heated by water from a thermostat (5) at known constant flow rate, G s .…”

Section: Preparation and Tests Of Nanofluidsmentioning

confidence: 99%

“…Much of research on preparation, characterization and thermal performance of nanofluids can be found in the open literature [4,5]. Most reported data refer to convective heat transfer in laminar or turbulent flow of Al 2 O 3 [6], TiO 2 [7] or CNT (carbon nanotubes) [8]. There is a relatively small number of papers dealing with the issue of thermal performance of CuO-based nanofluids.…”

Section: Introductionmentioning

confidence: 99%

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Investigations on heat and momentum transfer in CuO-water nanofluid

Dzido¹,

Drzazga²,

Lemanowicz³

et al. 2015

Archives of Thermodynamics

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This paper presents results of investigations on the application of CuO-water nanofluids for intensification of convective heat transfer. Performance of nanofluids with 2.2 and 4.0 vol.% CuO NPs (nanoparticles) content were examined with regard to heat transfer coefficient and pressure losses in case of turbulent flow in a tube. Negligible impact of examined nanofluid on heat transfer improvement was found. Moreover, measured pressure losses significantly exceeded those determined for primary base liquid. The observations showed that application of nanofluid for heat transfer intensification with a relatively high solid load in the examined flow range is rather controversial.

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Section: Preparation and Tests Of Nanofluidsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigations on heat and momentum transfer in CuO-water nanofluid

Dzido¹,

Drzazga²,

Lemanowicz³

et al. 2015

Archives of Thermodynamics

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“…The pressure drop versus flow rate or friction factor versus Reynolds number ( Re ) can be used to derive the τ – γ̇ curve using the Rabinowitsch–Mooney equation . Each relation between friction factor and flow rate corresponds to a velocity profile, and each velocity profile corresponds to a related RTD . Thus, the pressure drop against the flow rate, the friction factor against Re , the stress–shear rate, and the RTD are closely related.…”

Section: Introductionmentioning

confidence: 99%

Introduction to the Relation between the Residence Time Distribution and the Pipe Flow Pressure Drop

Emami-Meibodi¹

2022

Ind. Eng. Chem. Res.

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The concept of residence time distribution (RTD) has been used in various processes to have better modeling and predictions of the process’s performance. Pipe pressure drop against flow rate can give RTD and vice versa. The RTD based on the pressure drop is independent of Reynolds number (Re) and may coincide with the usual RTD or not. A new algorithm is proposed to evaluate the shear stress (τ) versus shear rate (γ̇) using pressure drop data. It uses a more suitable definition of shear rate compared to the usual capillary viscometer relation. The experimental system gives better insight into the proposed algorithms. The newly proposed solution of the dispersion model to derive the RTD is independent of boundary conditions. For packed bed systems, the RTD based on the pressure drop tends toward the RTD of the pipe laminar flow. The prediction of the proposed RTD for the conversion of gas-phase reactants in packed bed reactors is acceptable. It accounts for the pressure drop without complicated numerical calculations.

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“…This nanofluid was introduced by Choi and Eastman [1] and it has been proven to give better heat transfer efficiency compared to conventional fluids. Many applications of heat transfer enhancement using nanofluids are to meet the cooling challenge necessary such as the photonics, transportation, electronics, and energy supply industries [2][3][4][5]. Therefore, to improve the heat transfer enhancement, many designers and researchers have conducted heat transfer enhancement studies in the last decades.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Heat Transfer Enhancement for Mono and Hybrid Nanofluids Flow in a Straight Pipe

Azman

Yusoff

Mukhtar

et al. 2021

CFDL

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In recent years, there has been an increasing interest in heat transfer enhancement using nanofluids in channels due to current devices become smaller and more compact and are expected to perform better. Thus, we attempt to introduce hybrid nanofluids flow in a straight pipe using Ansys Fluent software. The simulation was prepared with certain specific parameters such as the hydraulic diameter is set at 10mm, the flow is a continuum, the Reynold number in the range of 5000 to 30000, k-e turbulent model used in this simulation, the inlet temperature 297 K, and the uniform temperature along the pipe at 313 K. This study was carried out on Al2O3+Cu / water hybrid nanofluids to analyse the thermal improvement and friction factor of nanofluids occur in a straight pipe. Then, the numerical results obtained were compared between mono and hybrid nanofluids. It was found that the mono nanofluids at 1% and 4% indicate a significant increase in Nusselt number at 17% and 24% respectively and hybrid nanofluid increase at 2% to 5.6% compared to base fluid. Whereas the friction factor remains similar for all the nanofluids. However, the performance evaluation criterion (PEC) has shown that hybrid nanofluids remain lower than mono nanofluids.

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An estimation for velocity and temperature profiles of nanofluids in fully developed turbulent flow conditions

Cited by 20 publications

References 15 publications

Investigations on heat and momentum transfer in CuO-water nanofluid

Investigations on heat and momentum transfer in CuO-water nanofluid

Introduction to the Relation between the Residence Time Distribution and the Pipe Flow Pressure Drop

Numerical Study of Heat Transfer Enhancement for Mono and Hybrid Nanofluids Flow in a Straight Pipe

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