Heat transfer enhancement of laminar impinging slot jets by nanofluids and metal foams

Bianco, Vincenzo; Buonomo, Bernardo; Pasqua, Anna di; Manca, Oronzio

doi:10.1016/j.tsep.2021.100860

Cited by 21 publications

(7 citation statements)

References 29 publications

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“…The numerical domain is showed in the Figure 2. The details of grid analysis and validation are given in [16] and not repeated in the present paper.…”

Section: Numerical Modelmentioning

confidence: 99%

Entropy Generation Analysis on Confined Impinging Slot Jets with Nanofluids in Metal Foam

Buonomo

Pasqua

Manca

et al. 2022

J. Phys.: Conf. Ser.

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In this paper a numerical entropy generation analysis on confined slot impinging jets made up of a totally filled configuration of metal foam in mixed convection is presented. A two-dimensional domain is assumed and several Peclet numbers (equal to 350, 750, 1500) are considered. Rayleigh numbers is imposed equal to 30000. The employed working fluids are pure water or Al2O3/water based nanofluids. The nanoparticle volume concentrations are in a range from 0% to 4% and the nanoparticle diameter is varied in a range from 20 nm to 80nm. The target surface is characterized by a constant temperature, estimated starting to the value of Rayleigh number. The distance of the target surface is five times greater than the slot jet width. The thermal and fluid dynamic properties of nanofluids are evaluated by a single-phase model method. The model of local thermal non equilibrium (LTNE) is considere in order to simulate the behavior of the metal foam characterized by a number of pores per inch (PPI) equal to 5, 10, 20, 40 and a porosity around 0.90. The data in terms of total global entropy generation related to the thermal and viscous effects are given Results show increasing values of the total entropy generation for increasing values of Peclet number and nanoparticle concentration. This behaviour is more evident at higher Peclet number values. In addition, the total entropy generation increases with the increase of PPI in corresponding to the same porosity value.

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“…The numerical domain is showed in the Figure 2. The details of grid analysis and validation are given in [16] and not repeated in the present paper.…”

Section: Numerical Modelmentioning

confidence: 99%

Entropy Generation Analysis on Confined Impinging Slot Jets with Nanofluids in Metal Foam

Buonomo

Pasqua

Manca

et al. 2022

J. Phys.: Conf. Ser.

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“…Many applications are encountered in thermal systems with partly or fully porousfluid subsystems. In Je-Im HT configuration, utilization of porous media have been considered (Lam and Prakash, 2015;Saeid and Mohamad, 2006;Bianco et al, 2021;Sivasamy et al, 2010;Zing and Mahjoob, 2019;Buonomo et al, 2015Buonomo et al, , 2016. Hussain et al (2020) performed a numerical work by using finite element method (FEM) for convective HT with slot Im-Je system into an open cavity with porous layer.…”

Section: Introductionmentioning

confidence: 99%

Impacts of using discrete and continuous porous layers on the cooling performance of confined multiple slot jet impingement under partially active magnetic field

Selimefendigil

Öztop²

2023

HFF

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Purpose The purpose of this study is to examine the effects of using discrete and continuous porous layers on the convective heat transfer improvement for multiple slot jet impingement onto a flat surface under magnetic field. Design/methodology/approach In the domains which are separated by the porous layers, uniform magnetic field with different strengths is used and as the solution technique finite element method is used. The numerical study is conducted considering different values of parameters: Reynolds number (250–1000), strength of magnetic field in different domains (Hartmann number between 0 and 20), permeability of discrete or continuous layers (Darcy number between 105 and 102) and number of layers in discrete case (2–10). Artificial neural network is used for performance estimation of systems equipped with different types of porous layers. Findings It is observed that significant differences occur in the local Nu between the discrete and continuous layer case, especially at lower Re, while peak Nu value is 77% higher in discrete layer configurations as compared to continuous one at Re = 250. Upper domain magnetic field results in average Nu enhancement, while the trend is opposite for the lower domain magnetic field strength. The increment amount becomes 10%, while the reduction amount is obtained as 38% at the highest magnetic field strengths. The permeability of layers in both cases and number of layers in discrete porous layer case provide effective solution for the cooling performance control. A modeling approach based on artificial neural networks provides fast thermal performance estimations of multiple impinging jets equipped with discrete and continuous porous layers. Originality/value Outcomes of the study are useful in development and optimization of new cooling systems in many thermal engineering systems encountered in photovoltaic panels, micro-electro-mechanical systems, metal processing and many others.

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“…Numerical results showed the dimensionless convective heat transfer coefficients rise with rising Peclet number values and fall with increasing volumetric concentration when impinging slot jets are examined in a restricted channel that is saturated with nanofluids and filled with metal foam. 15 Similarly, to analyze the flow and thermal performance of a heat sink numerically under the influence of impinging jets, a combination of metal foam saturated in nanofluid is utilized by Izadi et al 16 According to the results, the rate of heat transfer is increased as the volume fraction of nanofluid is increased too. Hussain et al 17 analyze a restricted slot jet impinging into an open trapezoidal cavity containing a porous layer.…”

Section: Introductionmentioning

confidence: 99%

A numerical study integrated with RSM for hydrothermal and entropy performance of porous jet impingement

Al‐damook

Azzawi

2023

Heat Trans

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The thermohydraulic and thermodynamic performance of porous jet impingement under pressure drop effect has not yet been jointly published. Thus, the novelty of this work computationally along with the response surface methodology (RSM) optimization approach considers the porous jet impingement performance linked with a pressure drop simultaneously. Also, the current study used a novel multiobjective optimum design study for various design parameters, such as porosity (ε), Darcy number (Da), and pore per inch (PPI), under numerical simulation assessment of forced laminar convection of jet impingement with full and partial metal foam. The influence of various base plate thicknesses (t = 0, 1, 2, and 3 mm), various nanofluids (Al2O3, CuO, SiO2, and ZnO), and the metal foam size percentage (W/L = 0, 0.25, 0.5, 0.75, and 1) on the improvement of the thermohydraulic and thermodynamic performance is also simulated. Results indicated that utilizing pure water and a metal foam size (W/L) of 1 along with a base plate thickness of 0 mm produced the preferable thermohydraulic and thermodynamic performance. Furthermore, according to an optimization analysis, the current study's objective for the thermohydraulic and thermodynamic performance of jet impingement can be achieved using the parameters porosity ε = 0.1, Darcy number, Da = 1, and the PPI = 15. Therefore, this investigation integrating computational fluid dynamics and RSM offers considerable innovation and useful reference for the optimum design of a porous jet impingement cooling.

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Heat transfer enhancement of laminar impinging slot jets by nanofluids and metal foams

Cited by 21 publications

References 29 publications

Entropy Generation Analysis on Confined Impinging Slot Jets with Nanofluids in Metal Foam

Entropy Generation Analysis on Confined Impinging Slot Jets with Nanofluids in Metal Foam

Impacts of using discrete and continuous porous layers on the cooling performance of confined multiple slot jet impingement under partially active magnetic field

A numerical study integrated with RSM for hydrothermal and entropy performance of porous jet impingement

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