Numerical analysis on the thermal performance of microchannel heat sinks with Al2O3 nanofluid and various fins

Ali, Abdullah Masoud; Angelino, Matteo; Rona, Aldo

doi:10.1016/j.applthermaleng.2021.117458

Cited by 55 publications

(10 citation statements)

References 42 publications

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“…All other two-phase mixture model simulations presented in this paper use a fixed value of d n f = 98 nm, which is within this range. E xd with increasing Reynolds number, which is due to the reduction in the minichannel bottom surface temperature at increasing Reynolds numbers [7,8].…”

Section: Effect Of the Diameter Size Of The Second Phase Nanofluid Bu...mentioning

confidence: 99%

“…The exergy destruction rate ( . E xd ) from the exergy balance through the dashed line control volume is [7]:…”

Section: The Second Law Efficiency Analysis Of the Minichannel Heat S...mentioning

confidence: 99%

“…The rate of exergy expended ( . E x ) through the minichannel cooling process is the sum of the total reversible work rate potential of the heat supplied through the base, as identified in Liu, et al [35], plus the reversible work rate potential of the coolant supplied to the inlet, as identified in Ali, et al [7]. This gives .…”

Section: The Second Law Efficiency Analysis Of the Minichannel Heat S...mentioning

confidence: 99%

“…For example, Bhattacharya, et al [5] examined the laminar forced convective heat transfer of Al 2 O 3 nanofluid in a microchannel heat sink of a rectangular cross-section and found the addition of nanoparticles to be more beneficial to cooling at a lower Reynolds number. Nebbati and Kadja [6] and Ali, et al [7,8] modelled Al 2 O 3 nanofluid in a microchannel heat sink and showed that the nanofluids can increase the Nusselt number and reduce the heat sink contact surface temperature compared to water, at an acceptable through-flow pressure drop penalty.…”

Section: Introductionmentioning

confidence: 99%

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Physically Consistent Implementation of the Mixture Model for Modelling Nanofluid Conjugate Heat Transfer in Minichannel Heat Sinks

2022

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As much as two-phase mixture models resolve more physics than single-phase homogeneous models, their inconsistent heat transfer predictions have limited their use in modelling nanofluid cooled minichannel heat sinks. This work investigates, addresses, and solves this key shortcoming, enabling reliable physically sound predictions of minichannel nanoflows, using the two-phase mixture model. It does so by applying the single-phase and the two-phase mixture model to a nine-passages rectangular minichannel, 3 mm deep and 1 mm wide, cooled by a 1% by volume suspension of Al2O3 nanoparticles in water, over the Reynolds number range 92 to 455. By varying the volume fraction of the second phase between 2% and 50%, under a constant heat flux of 16.67 W/cm2 and 30 Celsius coolant inflow, it is shown that the two-phase mixture model predicts heat transfer coefficient, pressure loss, friction factor, exergy destruction rate, exergy expenditure rate, and second law efficiency values converging to the single-phase model ones at increasing . A two-phase mixture model defined with 1% second phase volume fraction and 100% nanoparticles volume fraction in the second phase breaks the Newtonian fluid assumption within the model and produces outlier predictions. By avoiding this unphysical regime, the two-phase mixture model matched experimental measurements of average heat transfer coefficient to within 1.76%. This has opened the way for using the two-phase mixture model with confidence to assess and resolve uneven nanoparticle dispersion effects and increase the thermal and mass transport performance of minichannels.

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Section: Effect Of the Diameter Size Of The Second Phase Nanofluid Bu...mentioning

confidence: 99%

“…The exergy destruction rate ( . E xd ) from the exergy balance through the dashed line control volume is [7]:…”

Section: The Second Law Efficiency Analysis Of the Minichannel Heat S...mentioning

confidence: 99%

Section: The Second Law Efficiency Analysis Of the Minichannel Heat S...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Physically Consistent Implementation of the Mixture Model for Modelling Nanofluid Conjugate Heat Transfer in Minichannel Heat Sinks

2022

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“…One of the potential approaches for heat transfer enhancement in cavities is to employ irregular (zigzag) active walls rather than smooth ones [ 24 , 25 , 26 , 27 ]. Masoud Ali et al [ 28 ] examined the microchannel heat sink topologies’ dynamic flow and thermal characteristics using zigzag, rectangular, and twisted fins. They discovered that the zigzag fin and 3% of Al 2 O 3 nanoparticles give the highest heat efficiency, with a 60% higher value of Nu and 15% greater efficiency of second law than without fins and with ordinary liquid cooling (water).…”

Section: Introductionmentioning

confidence: 99%

Irreversibility Interpretation and MHD Mixed Convection of Hybrid Nanofluids in a 3D Heated Lid-Driven Chamber

et al. 2022

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This paper presents a numerical simulation of a magneto-convection flow in a 3D chamber. The room has a very specific permeability and a zigzag bottom wall. The fluid used in this study is Al2O3-Cu/water with 4% nanoparticles. The Galerkin finite element technique (GFEM) was developed to solve the main partial equations. The hybrid nanofluid inside the container is subjected to the horizontal motion of the upper wall, an external magnetic field, and a thermal buoyancy force. The present numerical methodology is validated by previous data. The goal of this investigation was to understand and determine the percentage of heat energy transferred between the nanofluid and the bottom wall of the container under the influence of a set of criteria, namely: the movement speed of the upper wall of the cavity (Re = 1 to 500), the amount of permeability (Da = 10−5 to 10−2), the intensity of the external magnetic field (Ha = 0 to 100), the number of zigzags of the lower wall (N = 1 to 4), and the value of thermal buoyancy when the force is constant (Gr = 1000). The contours of the total entropy generation, isotherm, and streamline are represented in order to explain the fluid motion and thermal pattern. It was found that the heat transfer is significant when (N = 4), where the natural convection is dominant and (N = 2), and the forced convection is predominant.

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Investigating the thermal performance of different nanofluids in a metal foam tube under laminar flow regime

Fallah Barzoki,

Rahmani,

Shahabi Nejad

et al. 2023

J Therm Anal Calorim

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Numerical analysis on the thermal performance of microchannel heat sinks with Al2O3 nanofluid and various fins

Cited by 55 publications

References 42 publications

Physically Consistent Implementation of the Mixture Model for Modelling Nanofluid Conjugate Heat Transfer in Minichannel Heat Sinks

Physically Consistent Implementation of the Mixture Model for Modelling Nanofluid Conjugate Heat Transfer in Minichannel Heat Sinks

Irreversibility Interpretation and MHD Mixed Convection of Hybrid Nanofluids in a 3D Heated Lid-Driven Chamber

Investigating the thermal performance of different nanofluids in a metal foam tube under laminar flow regime

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