Quantitative analysis of Maxwell fluid flow with dual diffusion through the variable porous canonical gap using artificial neural network approach

Khan, Arshad; Awwad, Fuad A.; Ismail, Emad A. A.; Gul, Taza

doi:10.1007/s00396-024-05281-8

Colloid Polym Sci

2024

DOI: 10.1007/s00396-024-05281-8

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Quantitative analysis of Maxwell fluid flow with dual diffusion through the variable porous canonical gap using artificial neural network approach

Arshad Khan,

Fuad A. Awwad,

Emad A. A. Ismail

et al.

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Cited by 3 publications

References 41 publications

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The neural networking strategy results in the tri‐hybrid nanofluid flowing over a slippery flat plate to act as an antimicrobial agent through solar radiation

Ajmal,

Gul,

Almutairi

et al. 2024

Z Angew Math Mech

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Hybrid nanofluids are employed to enhance the antibacterial effect produced by solar radiation. Antimicrobial properties are present in metal nanoparticles (such as silver, copper, or zinc) or metal oxides (such as titanium dioxide or zinc oxide) when exposed to solar radiation. Nanomaterials that have antimicrobial properties are selected from the available literature. A solar sheet with an inclined plane has been chosen and filled with tri‐hybrid nanofluids (THNFs). Hybrid nanofluids including (CuO), Copper oxide, TiO2 (Titanium oxide), and SiO2 (Silicon dioxide), are selected from metal and metal oxide classes including water as a base fluid. The antimicrobial action caused by solar radiation is enhanced by the slip boundaries and variable porous space. The influence of flow and thermal fields on isotherms, velocities, flow lines, and Nusselt numbers are considered. The transformed system of differential equations is solved by the Control Volume Finite Element Method (CVFEM) and RK‐4 technique. The nanoparticulate volume fraction of CuO, TiO2, and SiO2 is largely responsible for the enhancement in the heat transfer rate (HT), as observed. Improved thermal performance is achieved through the flow of THNFs, which in turn acts as an antimicrobial agent. Increasing values of parameters lead to an improvement in the heat transfer rate, which in turn decreases microbial activity.

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The neural networking strategy results in the tri‐hybrid nanofluid flowing over a slippery flat plate to act as an antimicrobial agent through solar radiation

Ajmal,

Gul,

Almutairi

et al. 2024

Z Angew Math Mech

View full text Add to dashboard Cite

show abstract

Exploring the novel dynamics of dissipative Casson hybrid nanofluid flow within a variable porous medium enclosed by two stretching and gyrating circular plates, with artificial neural network analysis

Alqarni,

Alghamdi,

Aljohani

et al. 2025

J Therm Anal Calorim

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The liquid film of the time-dependent cross-fluid flow over an inclined disk through an artificial neural network

Allehiany,

Alqarni,

Alghamdi

et al. 2024

Mech Time-Depend Mater

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Quantitative analysis of Maxwell fluid flow with dual diffusion through the variable porous canonical gap using artificial neural network approach

Cited by 3 publications

References 41 publications

The neural networking strategy results in the tri‐hybrid nanofluid flowing over a slippery flat plate to act as an antimicrobial agent through solar radiation

The neural networking strategy results in the tri‐hybrid nanofluid flowing over a slippery flat plate to act as an antimicrobial agent through solar radiation

Exploring the novel dynamics of dissipative Casson hybrid nanofluid flow within a variable porous medium enclosed by two stretching and gyrating circular plates, with artificial neural network analysis

The liquid film of the time-dependent cross-fluid flow over an inclined disk through an artificial neural network

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