Entropy analysis of Darcy-Forchheimer flow of Reiner-Rivlin A1 ₂ O ₃ –Cu/engine oil based hybrid nanofluid between two rotating disks

Numerical Heat Transfer Part A Applications, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 30

Published: Aug. 5, 2024

This paper analyzes the flow of Reiner-Rivlin hybrid nanofluid, considering magnetic field and varying thermal conductivity between two spinning disks. Appropriate similarity variables are used to transform all dimensional equations into dimensionless form. A semi-analytical homotopy analysis approach applied solve velocity profiles, temperature distribution, Nusselt number, skin friction, entropy generation, Bejan number presented graphically. Some key outcomes include that axial tangential velocities decreases when porosity parameters increase. Additionally, higher Eckert from 1 1.3, increases near center disks 1.02 1.18. The heat transfer rate goes up 10.2767 10.3043 rises 0.1 0.7. generation grows in proportion Brinkman Reynolds parameter values. research might enhance cooling, lubrication, management automotive, aerospace, biomedical industries.

Language: Английский

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Computational study of magnetite-ethylene glycol–water-based hybrid nanofluid dynamics on an exponential shrinking/stretching Riga surface under radiative heat flux

Colloid & Polymer Science, Journal Year: 2024, Volume and Issue: 303(1), P. 95 - 109

Published: Oct. 19, 2024

Language: Английский

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Analysis of heat transfer of second-grade hybrid nanofluid and optimization using response surface methodology for thermal enhancement

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1)

Published: Jan. 27, 2025

Language: Английский

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Magnetic field and Soret effect on mixed convection Williamson fluid flow between two concentric cylinders using artificial neural network

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(3)

Published: March 14, 2025

Language: Английский

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A besyian regularisation neural network approach for hepatitis B virus spread prediction and immune system therapy model

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 10, 2024

The primary aim of the article is to analyze response human immune system when it encounters hepatitis B virus. This done using a mathematical differential equations. equation has six components, likely representing various aspects or virus dynamics. A Bayesian regularization neural network been presented in process training. These networks are employed find solutions for different categories scenarios related infection. Adams method used generate reference data sets. back-propagated artificial network, based on regularization, trained and validated generated data. divided into three sets: 90% training 5% each testing validation. correctness effectiveness proposed model have assessed evaluation metrics. metrics this study Mean Square Error (MSE), histogram errors, regression plots. measures provide support approximate

Language: Английский

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Analyzing how inflation affects non-instantly decaying goods with demand linked to ads and selling price in a dual-warehouse setup

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 106, P. 517 - 529

Published: Aug. 26, 2024

A C TThis study explores inventory management strategies specifically designed for non-instantaneous deteriorating goods under inflationary conditions, utilizing a dual-warehouse system-one owned and the other rented with limited storage capacity.We examine effects of advertising frequency product selling price on demand rates, taking into account gradual decline in customer patience, which leads to partial backlogging shortages.The primary objective is determine optimal replenishment policies retailers that effectively minimize total costs per unit time.In real life, managing oil crucial industries where factors like deterioration, fluctuations due pricing, sensitivity inflation require sophisticated models optimize costs.To validate our proposed model, we provide numerical.A using MATLAB R2024a software highlights impact parameter changes, providing significant information decision-makers across various industries.

Language: Английский

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Efficient one-step multi-trial electroencephalograph spectral clustering via unsupervised covariance-based representations

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 138, P. 109502 - 109502

Published: Oct. 21, 2024

Language: Английский

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