Numerical approach of Fe3O4-ethylene glycol heat and mass transfer magneto nanofluid flow past a porous shrinking sheet with chemical reaction and thermal radiation

Reddy, Y. Dharmendar; Mangamma, Ippa

doi:10.1007/s10973-023-12463-z

J Therm Anal Calorim

2023

DOI: 10.1007/s10973-023-12463-z

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Numerical approach of Fe3O4-ethylene glycol heat and mass transfer magneto nanofluid flow past a porous shrinking sheet with chemical reaction and thermal radiation

Y. Dharmendar Reddy,

Ippa Mangamma

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2024

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Cited by 3 publications

References 58 publications

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Influences of thermal stratification and chemical reaction on MHD free convective flow along an accelerated vertical plate with variable temperature and exponential mass diffusion in a porous medium

Sahu,

Deka

2024

Heat Trans

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This study examines the impacts of thermal stratification and chemical reaction on magnetohydrodynamic (MHD) free convective flow along an accelerated vertical plate with variable temperature and exponential mass diffusion, set within a porous medium. Analytical solutions, utilized, are obtained through the Laplace transform technique to accurately represent the flow's physical mechanism. The research employs advanced mathematical models to analyze the intricate interplay between MHD and convective processes under varying thermal and exponential mass diffusion conditions, offering insights into fluid dynamics that closely simulate real‐world conditions. The study draws a significant conclusion by contrasting the effects of thermal stratification with a nonstratified environment. It has been noted that when stratification is applied to the flow, the steady state is achieved more quickly. The study reveals that thermal stratification reduces fluid velocity and temperature but increases skin friction and the Nusselt number, diverging from nonstratified conditions. It also shows that parameters, like, , and significantly influence velocity, temperature, and concentration in fluid dynamics. This research could be driven by a need to enhance the understanding of fluid flow in various engineering and environmental contexts, where such conditions are prevalent, including geothermal energy extraction, thermal management, chemical processing industries, and environmental control technologies. This novel approach enhances understanding of flow processes in both natural and engineered porous environments.

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Influences of thermal stratification and chemical reaction on MHD free convective flow along an accelerated vertical plate with variable temperature and exponential mass diffusion in a porous medium

Sahu,

Deka

2024

Heat Trans

View full text Add to dashboard Cite

show abstract

A recurrent neural network approach for magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect

Urooj,

Kamran,

Raja

et al. 2024

Z Angew Math Mech

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Artificial neural networks (ANNs) with feedback loops known as recurrent neural networks (RNNs) are appropriate for handling temporal dependencies. The accuracy of the results in computational fluid dynamics (CFD) has gradually improved with the integration of artificial intelligence (AI) with CFD. This research article aims to decipher the dynamics of magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect (MHD‐FSGF‐DE) using the Levenberg–Marquardt backpropagation (LMB) based on RNNs (LMB‐RNNs). The dataset is produced by the cutting‐edge homotopy analysis method for variation of different parameters including fluid parameter β, Marangoni parameter Ma, Hartmann number M, and Prandtl number Pr. RNNs are trained on the points of the dataset to maximize the outcome's accuracy and provide a comprehensive knowledge of the long‐term correlations between the input and output data points. The accuracy of the state‐of‐the‐art LMB‐RNNs approach is validated by performance graphs, error histograms, training estate analyses, regression plots, and input and output correlation plots. The profiles of physical properties like velocity, temperature, and concentration against β, Ma, M, and Pr are graphically shown to further highlight how these parameters affect physical properties. After 1000 iterations, the mean squared error (MSE) is 10−10 and the observed value of correlation coefficient R is 1 endorsing the worth of the LMB‐RNNs. The velocity of fluid upsurges for increasing β while declines for increasing M and Ma. The outcomes are comparable with the previously published findings. The core findings of this study have potential applications in various fields like polymer processing and cooling of electronic devices, specifically in the areas of electronic coolant system design and optimization.

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Exploring viscoelastic potential: unsteady magnetohydrodynamic thin film flow of Carreau–Yasuda ternary nanofluid on a rotating disk

Alamer,

Alharbi,

Areshi

et al. 2024

Mech Time-Depend Mater

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Numerical approach of Fe3O4-ethylene glycol heat and mass transfer magneto nanofluid flow past a porous shrinking sheet with chemical reaction and thermal radiation

Cited by 3 publications

References 58 publications

Influences of thermal stratification and chemical reaction on MHD free convective flow along an accelerated vertical plate with variable temperature and exponential mass diffusion in a porous medium

Influences of thermal stratification and chemical reaction on MHD free convective flow along an accelerated vertical plate with variable temperature and exponential mass diffusion in a porous medium

A recurrent neural network approach for magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect

Exploring viscoelastic potential: unsteady magnetohydrodynamic thin film flow of Carreau–Yasuda ternary nanofluid on a rotating disk

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