Mathematical and numerical investigations of nanofluid applications in the industrial heat exchangers

Malika, Manjakuppam; Ashokkumar, Muthupandian; Sonawane, Shriram S.

doi:10.1016/b978-0-323-90564-0.00010-6

Cited by 12 publications

(2 citation statements)

References 55 publications

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“…Numerous parameters are increased when adding nanoparticles to a base fluid, such as improved heat dissipation, energy efficiency, and thermal conductivity [1]. This unique property of nanofluids has led to a surge in their application in a number of technological services, including heat and mass transfer [2][3][4], refrigeration [5][6][7], improving the efficiency of polymerase chain reactions [8], radiators [9], cooling systems [10], etc. combination of nanofluid with an engine oil base fluid that contains graphene oxide and molybdenum disulfide nanoparticles using a non-singular fractionation technique.…”

Section: Introductionmentioning

confidence: 99%

Natural convection and heat transmission of two-phase Bingham Fe₃O₄-CoFe₂O₄-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder

Mahmud,

Molla

2024

Phys. Scr.

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The Galerkin weighted residual finite element method (GFEM) has been used to numerically investigate the natural convection flow of two-phase Bingham hybrid nanofluid in a square cavity with a corrugated cylinder at the center. The base fluid here is water. The hybrid nanofluid is made of Fe$_3$O$_4$-CoFe$_2$O$_4$ nanoparticles. The flow inside the enclosure is considered laminar, non-Newtonian, and incompressible. The corrugated cylinder is taken heated. The top and bottom walls of the outer square are considered adiabatic, and the left and right walls are considered cold. Several non-dimensional parameters including the Rayleigh number ($Ra=10^4, 10^5, 10^6$), the Bingham number ($Bn=0, 0.5, 1$), the volume fraction ($\phi=0.00, 0.04$), the Brownian parameter ($Nb=0.1, 0.2, 0.3$), thermophoresis parameter ($Nt=0.1, 0.2, 0.3$), buoyancy ratio ($Nr=0.1, 0.2, 0.3$), corrugation ($N= 5, 6, 7$), the Prandtl number ($Pr=6.2$), and the Lewis number ($Le=1000$) have been numerically simulated. The results show that an upsurge in $Ra$ increases the extent of the upper two vortices and decreases the extent of the lower two vortices. All four vortices are seen to increase in dimension for an increase in $Bn$. The same observation is found for an increase in $\phi$. The lower vortices are growing, and the top ones are nearly eliminated for base fluid, while those are visible for nanofluid when corrugation is increased. A further expansion completely destroyed the higher ones and increased the size of the bottom ones. The average Nusselt number ($\overline{Nu}$) increases when $Ra$ is incremented. $\overline{Nu}$ rises with rise in $\phi$. An increment in $\phi$ to 0.04 results in $4.43\%$ gain in $\overline{Nu}$. An increase in $Bn$ is causing $\overline{Nu}$ to drop by $18.02\%$. For $Ra=10^5$ and $Bn=2$, $\phi=0.02$ has the maximum heat transfer enhancement between $0.00\le\phi\le0.04$

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Section: Introductionmentioning

confidence: 99%

Natural convection and heat transmission of two-phase Bingham Fe₃O₄-CoFe₂O₄-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder

Mahmud,

Molla

2024

Phys. Scr.

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“…The base fluid's thermal conductivity is increased when nanoparticles are dissolved in it [1,2]. This particular characteristic of nanofluids has increased their use in various technical services, such as machining and manufacturing [3,4], refrigeration [5,6], and heat and mass transfer [7][8][9]. The type of numerical simulations and experimental analyses employed vary based on the applications and other relevant requirements.…”

Section: Introductionmentioning

confidence: 99%

Multiple-Relaxation-Time Lattice Boltzmann Simulation of Soret and Dufour Effects on the Thermosolutal Natural Convection of a Nanofluid in a U-Shaped Porous Enclosure

Islam,

Hasan,

Molla

2023

Energies

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This article reports an investigation of the Soret and Dufour effects on the double-diffusive natural convection of Al2O3-H2O nanofluids in a U-shaped porous enclosure. Numerical problems were resolved using the multiple-relaxation-time (MRT) lattice Boltzmann method (LBM). The indented part of the U-shape was cold, and the right and left walls were heated, while the bottom and upper walls were adiabatic. The experimental data-based temperature and nanoparticle size-dependent correlations for the Al2O3-water nanofluids are used here. The benchmark results thoroughly validate the graphics process unit (GPU) based in-house compute unified device architecture (CUDA) C/C++ code. Numeral simulations were performed for a variety of dimensionless variables, including the Rayleigh number, (Ra = 104,105,106), the Darcy number, (Da = 10−2,10−3,10−4), the Soret number, (Sr = 0.0,0.1,0.2), the Dufour number, (Df = 0.0,0.1,0.2), the buoyancy ratio, (−2≤Br≤2), the Lewis number, (Le = 1,3,5), the volume fraction, (0≤ϕ≤0.04), and the porosity, ϵ = (0.2−0.8), and the Prandtl number, Pr = 6.2 (water) is fixed to represent the base fluid. The numerical results are presented in terms of streamlines, isotherms, isoconcentrations, temperature, velocity, mean Nusselt number, mean Sherwood number, entropy generation, and statistical analysis using a response surface methodology (RSM). The investigation found that fluid mobility was enhanced as the Ra number and buoyancy force increased. The isoconcentrations and isotherm density close to the heated wall increased when the buoyancy force shifted from a negative magnitude to a positive one. The local Nu increased as the Rayleigh number increased but reduced as the volume fraction augmented. Furthermore, the mean Nu (Nu¯) decreased by 3.12% and 6.81% and the Sh¯ increased by 83.17% and 117.91% with rising Lewis number for (Ra=105 and Da=10−3) and (Ra=106 and Da=10−4), respectively. Finally, the Br and Sr demonstrated positive sensitivity, and the Ra and ϕ showed negative sensitivity only for higher values of ϕ based on the RSM.

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Synthesis of magnetite nanoparticle from potato peel extract: its nanofluid applications and life cycle analysis

Malika

Jhadav²,

Parate

et al. 2022

Chem. Pap.

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Mathematical and numerical investigations of nanofluid applications in the industrial heat exchangers

Cited by 12 publications

References 55 publications

Natural convection and heat transmission of two-phase Bingham Fe₃O₄-CoFe₂O₄-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder

Natural convection and heat transmission of two-phase Bingham Fe₃O₄-CoFe₂O₄-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder

Multiple-Relaxation-Time Lattice Boltzmann Simulation of Soret and Dufour Effects on the Thermosolutal Natural Convection of a Nanofluid in a U-Shaped Porous Enclosure

Synthesis of magnetite nanoparticle from potato peel extract: its nanofluid applications and life cycle analysis

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Mathematical and numerical investigations of nanofluid applications in the industrial heat exchangers

Cited by 12 publications

References 55 publications

Natural convection and heat transmission of two-phase Bingham Fe3O4-CoFe2O4-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder

Natural convection and heat transmission of two-phase Bingham Fe3O4-CoFe2O4-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder

Multiple-Relaxation-Time Lattice Boltzmann Simulation of Soret and Dufour Effects on the Thermosolutal Natural Convection of a Nanofluid in a U-Shaped Porous Enclosure

Synthesis of magnetite nanoparticle from potato peel extract: its nanofluid applications and life cycle analysis

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Natural convection and heat transmission of two-phase Bingham Fe₃O₄-CoFe₂O₄-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder

Natural convection and heat transmission of two-phase Bingham Fe₃O₄-CoFe₂O₄-water hybrid nanofluid flow in an enclosure with a corrugated heated cylinder