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Jet impingement cooling using shear thinning nanofluid under the combined effects of inclined separated partition at the inlet and magnetic field

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Abstract

Combined effects of using inclined partition and magnetic field on the cooling performance of double slot jet impingement are analyzed with finite element method. Two different shear thinning nanofluids are used while experimental data is available for the rheological properties. Different values of of Reynolds number (Re between 100 and 1000), velocity ratio (VR, between 0.2 and 1), opening ratio (OR, between 0.05 and 0.95), magnetic field strength (Ha, between 0 and 30) and inclination of partition (\(\Omega \), between 0 and 40) are used. It is observed that varying VR of the jets, size/inclination of the partition, magnetic field strength and nanfluid type, can be used to control the local and average convective heat transfer and cooling performance features effectively. The average Nusselt number (Nu) rises with higher VR while at the highest VR the amount of increments are 23.5\(\%\) and 28.5\(\%\) with first (NF1) and second (NF2) nanofluid (NF). When magnetic field is imposed, effects of OR becomes important with NF1 at the lowest strength of magnetic field. Average Nu reduces with higher magnetic field strength for NF1 while \(14.4\%\) reduction for the highest strength at OR = 0.95 is achieved. However, for NF2 the trend is opposite and \(18.8\%\) increment is obtained. Variations in the average Nu becomes \(7.6\%\) and \(1.8\%\) for NF1 and NF2 when inclination of the partition is changed. The cooling performance is estimated by using a feed-forward network modeling approach in terms of average Nu for NF1 and NF2 by using 25 neuron in the hidden layer.

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Abbreviations

h :

Heat transfer coefficient

H :

Separating distance

Ha :

Hartmann number

k :

Thermal conductivity

L :

Plate length

m :

Consistency index

n :

Power law index

Nu:

Nusselt number

OR :

Opening ratio

p :

Pressure

Pr:

Prandtl number

Re:

Reynolds number

T :

Temperature

u, v :

X-y velocity components

VR :

Velocity ratio

w :

Slot width

x, y :

Cartesian coordinates

\(\alpha \) :

Thermal diffusivity

\(\theta \) :

Non-dimensional temperature

\(\mu \) :

Dynamic viscosity

\(\nu \) :

Kinematic viscosity

\(\rho \) :

Density of the fluid

\(\Omega \) :

Partition inclination

c :

Cold wall

h :

Hot wall

m :

Average

nf :

Nanofluid

CFD:

Computational fluid dynamics

FEM:

Finite element method

FFN:

Feed forward network

HT:

Heat transfer

J-I:

Jet impingement

M-F:

Magnetic field

NF:

Nanofluid

OR:

Opening ratio

VR:

Velocity ratio

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Acknowledgements

This research has been funded by Scientific Research Deanship at University of Ha’il - Saudi Arabia through project number RG-21 057.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Celal Bayar University, 45140, Manisa, Turkey

    Fatih Selimefendigil

  2. Department of Mechanical Engineering, College of Engineering, Ha’il University, Ha’il City, Saudi Arabia

    Lioua Kolsi, Badreddine Ayadi & Walid Aich

  3. Laboratory of Metrology and Energy Systems, National Engineering School of Monastir, University of Monastir, Monastir, 5000, Tunisia

    Lioua Kolsi & Mohamed Naceur Borjini

  4. Materials, Energy and Renewable Energies Research Unit, Faculty of Sciences, University of Gafsa, Gafsa, 2112, Tunisia

    Walid Aich

  5. Department of Physics, College of Science, Qassim University, Buraidah, 51452, Saudi Arabia

    Faisal Alresheedi

  6. Laboratory of Applied Fluid Mechanics, Environment and Process Engineering “LR11ES57”, National School of Engineers of Sfax (ENIS), University of Sfax, Soukra Road Km 3.5, 3038 Sfax, Tunisia

    Badreddine Ayadi

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  1. Fatih Selimefendigil
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Selimefendigil, F., Kolsi, L., Ayadi, B. et al. Jet impingement cooling using shear thinning nanofluid under the combined effects of inclined separated partition at the inlet and magnetic field. Eur. Phys. J. Spec. Top. 231, 2491–2508 (2022). https://doi.org/10.1140/epjs/s11734-022-00583-w

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