Entropy Optimization of Stagnant Blood Flow Systems with Tetra-Hybrid Nano additives under Viscous Dissipation, Joule Heating and Thermal Radiation Effects

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105692 - 105692

Published: Jan. 1, 2025

Language: Английский

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Utilizing Python for Numerical Analysis of Bioconvection in Magnetized Casson-Maxwell Nanofluid Systems with Gyrotactic Microorganisms: An Investigation of Dominant Factors

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 103760 - 103760

Published: Jan. 1, 2025

Language: Английский

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Thermal radiation effect on Darcy-forchheimer flow of synovial fluid over heated disk: Applications of thermal engineering via two viscosity models

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101369 - 101369

Published: Feb. 20, 2025

Language: Английский

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Computational study of magnetized 3D revolving hybrid nanofluid with non-linear thermal radiation and heat source/sink over a stretching sheet

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(3)

Published: Feb. 20, 2025

Language: Английский

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Entropy analysis of Hall effect with variable viscosity and slip conditions on rotating hybrid nanofluid flow over nonlinear radiative surface

Materials Today Communications, Journal Year: 2024, Volume and Issue: 39, P. 109167 - 109167

Published: May 10, 2024

Language: Английский

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Numerical simulation of rotating flow of CNT nanofluids with thermal radiation, ohmic heating, and autocatalytic chemical reactions

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 113, P. 535 - 550

Published: Nov. 25, 2024

Language: Английский

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An exploration of diffusion-thermo and radiation absorption impacts on non-Newtonian MHD flow towards two distinct geometries with biot number

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102477 - 102477

Published: June 28, 2024

Temperature and liquid flow monitoring are required in many industrial applications order to maximize machine performance. When exploring polymers, fabricating synthetic films transparent materials, manufacturing metal-based equipment, frictional forces thermal rates need be controlled. The significance of the study prominent characteristics Diffusion-Thermo, Quadratic radiation absorption over a permeable stretching geometry discussed. Similarity transformations reduced boundary layer partial differential an ODE. acquired system ODEs is solved numerical-manner using MATLAB bvp4c. distributions f '(η), θ(η) φ(η) described graphical aspect, with specified governed parameters. As Diffusion thermo parameter raises, temperature field enhances. velocity enhance concentration decreases. A rise causes raise buoyancy, which turn raises rate, that this reflected profiles. temperatures nearer porous lowers concentration. Rising ratio θw values were accompanied by rising temperatures. enhancing when improving Biot parameter. skin-friction heightened raising 'n' values. Nusselt number declined, Df. Sherwood enhanced 'Sc'. An incorporation thermo, effects nano-Carreau across Wedge Cone novelty. boundary-layer wedge gets made growingly significant, not long ago, owing its practical applications, including those medical, bioengineering, crude oil extraction, nuclear power plants, polymer extrusion process, production plastic sheet, metal spinning, friction drag ship, electronic gadgets, etc. This will extended incorporating micro-polar, tangent hyperbolic, Sutterby, distinct non-Newtonian fluids.

Language: Английский

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Numerical treatment for radiative hybrid nanofluid flow over a stretching sheet

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102209 - 102209

Published: May 7, 2024

Artificial neural networks (ANNs) have brought a huge transformation to the machine learning regime by furnishing unparalleled abilities for modeling intricate phenomena and coping with variety of challenges. In oneiric field ANNs, essential approach training ANNs is backpropagation. However, optimization crucial when handling complex fluid flow phenomenon through The current article implements Levenberg Marquardt Technique ANN backpropagation (LMT-BP-ANN) investigate radiative hybrid nanofluid (RHNF) addressing Cattaneo-Christov flux system past stretching sheet (SS). Fe2O3 single-walled carbon nanotubes (SWCNT) multi-walled (MWCNT) considered. base ethylene glycol. Physical parameters nanofluidic system, including magnetic parameter M, solid volume fractions φ1 φ2, velocity slip λ, relaxation time Ω, Biot number ϒ, thermal radiation Gr are evaluated appropriate variations that effectively accomplish dynamics model. These utilized create dataset LMT-BP-ANNs using renowned deterministic Adam's numerical technique in Mathematica software. MATLAB software, 70% data kept preparing, 15% checking, validating network. performance plot, regression graphs, error histograms constructed demonstrate suggested LMT-BP network scheme's high efficiency, efficacy, exactness. When performs, mean squared (MSE) order 10-11 observed. observed R value 1. As estimate grows, declines, although profile shows increasing behavior. increases, drops. Key findings this study anticipated noteworthy bearing on sectors require local refrigeration heating contravention.

Language: Английский

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Thermodynamic and buoyancy force effects of Cu and TiO2 nanoparticles in engine oil flow over an inclined permeable surface

Journal of King Saud University - Science, Journal Year: 2024, Volume and Issue: 36(10), P. 103434 - 103434

Published: Sept. 12, 2024

Language: Английский

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Analysis of water based Casson hybrid nanofluid (NiZnFe2O4+

Partial Differential Equations in Applied Mathematics, Journal Year: 2025, Volume and Issue: unknown, P. 101079 - 101079

Published: Jan. 1, 2025

Language: Английский

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