MHD flow of second‐grade fluid containing nanoparticles having gyrotactic microorganisms across heated convective sheet

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: 104(9)

Published: Aug. 8, 2024

Abstract In order to keep mechanical processes running smoothly, there is a growing need for effective heat transport. The present study aims explore the variation of on time‐dependent maximum hydrodynamic drag (MHD) second‐grade nanofluids perceiving motile gyrotactic microbe with stretchable sheets. We process analysis thermal energy distribution by using convective boundary conditions. addition this, we take both chemical reaction and radiation into consideration. governing nonlinear (PDEs) are converted (ODEs) similarity transformation then computed BVP4c technique. multiple results marked in range opposing flows only. Then, effects numerous physical variables temperature, concentration, fluid velocity, microorganisms scrutinized different graphical representations. unsteady parameter also strengthen higher qualities, while inverse conduct identified magnetic field framework. Finally, temperature cultivates more significant assessment Biot number, reverse behavior observed Prandtl number. obtained found appropriate existing literature.

Language: Английский

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Nanofluids' thermal assessment: Active and passive control approach

Partial Differential Equations in Applied Mathematics, Journal Year: 2024, Volume and Issue: 11, P. 100864 - 100864

Published: Aug. 6, 2024

The nanofluids are decomposition of nano-sized metallic particles with base materials maintaining peak thermal properties. Owing to enhanced features, various applications observed in enhancing energy resources and cooling processes. objective current work is exploring the impact nanofluid associated oblique stagnation point flow. interpretation subject active passive control approach. heat trnasfer analysis identified by using convective flow constraints. Buongiorno model adopted, endorsing Brownian thermophoresis consequences. problem first simplfied intodimensionless form. numerical computations performed famous shooting scheme justifiable accuracy. A comparative change phenomenon given frameworks presented. It exmained that transfer reduces for stretching ratio parameter. concentration profile angle incidence both

Language: Английский

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Entropy generation and sensitivity analysis for a squeezed flow of a Williamson hybrid nanofluid under the supervision of microcantilever sensor

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103464 - 103464

Published: Nov. 1, 2024

Language: Английский

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Nanoengineering analysis and chemical reactive progress of bioconvection flow of Oldroyd-B nanofluid with Darcy-Brinkman-Forchheimer model

Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

This article investigates the bioconvection flow of Oldroyd-B nanomaterial toward an exponentially stretched surface considering effect Darcy-Brinkman-Forchheimer, nonlinear thermal radiation, buoyancy driven forces, and Arrhenius chemical reaction. Features heat transport are presented in presence activation energy distinction. The variations thermophoretic Brownian motion taken into account concentration distribution. Nonlinear partial differential equations (PDEs) transformed set ordinary (ODEs) by utilizing appropriate variables. expression implemented through homotopy approach. effects numerous associated variables on velocity, thermal, concentration, motile microorganisms, Nusselt number explained graphically. It is illustrated that velocity curve decays for dimensionless relaxation time while opposite behavior noticed porosity factor. Thermal mass rate escalated motion. outcomes also revealed microorganism’s density declined with Lewis variable.

Language: Английский

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Irreversibility analysis for nanofluid flow in a rocket engine with MHD effects

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2025, Volume and Issue: 105(3)

Published: March 1, 2025

Abstract A study is carried out to investigate the irreversibility analysis of heat transfer and entropy generation in a rocket engine regenerative cooling channel considering magnetohydrodynamic (MHD) effects. In this study, water‐based nanofluid consisting titanium dioxide (TiO₂), copper oxide (CuO), alumina (Al 2 O 3 ) Nanoparticles was investigated for its ability improve cooling. The differential equations that govern system flow are hence converted into non‐dimensional form using similarity transformation techniques solved numerically by 4th order Runge–Kutta method shooting approach. These key variables, namely Nusselt number rate then dealt, with graphically demonstrate influencing parameters on hydrothermal efficiency system. results show increasing concentration nanoparticles magnetic field intensity can effectively effectiveness decrease within structure. practical outcome aerospace engineers know how TiO₂‐based nanofluids could serve as coolant design future engines. Incorporating MHD effects also improves transfer, offers route efficient high‐temperature systems. help designing superior space propulsion thermal management techniques, offering orders magnitude improvement reliability performance This work seen starting point studies quest explore alternative combinations base fluid, nanoparticle materials besides non‐linear hydrodynamic including modeling required turpening phenomena. numerical experiments would strengthen understanding, which be used criteria applying nanofluid‐based applications findings lay strong basis optimization designs integration enhance propulsion.

Language: Английский

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Optimized neural network modeling of ternary hybrid nanofluid dynamics in double rotating disks with radiation and Cattaneo-Christov heat flux

Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(2), P. 101449 - 101449

Published: March 25, 2025

Language: Английский

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A Review on Analytical Heat Transfer in Functionally Graded Materials, Part II: Non-Fourier Heat Conduction

Journal of Thermal Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Language: Английский

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Effects of Hall current and diffusion thermo of three dimensional rotating and radiating Casson hybrid nanofluid flow over a stretched surface

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2025, Volume and Issue: 8(5)

Published: April 8, 2025

Language: Английский

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Investigating slip velocity effects on thermal and mass transport in magnetized nanoparticle squeeze flow via numerical scheme

Proceedings of the Institution of Mechanical Engineers Part N Journal of Nanomaterials Nanoengineering and Nanosystems, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Efficient control over heat and mass transport in confined fluid systems is essential for applications biomedical devices, lubrication systems, industrial cooling technologies. However, conventional studies often overlook the combined impact of velocity slip, magnetic effects, nanoparticle concentration on squeeze flow, leading to gaps understanding mechanisms under dynamic compression. This research addresses this gap by investigating influence volume fraction, field intensity, Schmidt number, number Cu-water based Magnetohydrodynamic (MHD) unsteady squeezing flow using a numerical approach. The governing nonlinear differential equations are solved bvp4c solver MATLAB. Results indicate that skin friction coefficient decreases with increasing values reaching −3.3907 S = 1.0, aligning closely already published results. Similarly, Nusselt as increases, computed value 1.1195 at 1.0. application stronger reduces profile, while higher numbers suppresses diffusion. slip parameter has negligible an increase slightly elevates concentration. study provides quantitative insights into effects velocity, MHD, offering valuable implications microfluidic transport, high-performance

Language: Английский

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Applications of neural networking in Eyring-Powell nanofluid dynamics on a rotating surface in a porous medium

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 108, P. 568 - 582

Published: Aug. 6, 2024

One of the fundamental aspects solving difficult and nonlinear mathematical ideas is use Artificial Neural Networks due to their exceptional efficiency in handling such problems. In many complex fields as computational fluid system, biological computation, biotechnology, a distinct computing structure provided by Networks, which extremely valuable. The main purpose this article dig out abilities Levenberg-Marquardt technique using back-propagation artificial neural networks regarding mechanics heat transport assessment nanoparticles. This interdisciplinary field explores mass transfer through objects fluids, impacts on temperature well concentration distributions. With help modelling numerical solution methodologies, researchers can simulate analyze these processes. present analysis communicates Eyring-Powell flow caused rotating disk placed horizontal direction. over non-linear partial differential equations modeled. After converting ordinary ones, they are tackled numerically shooting technique. algorithm used with reference datasets, having 70 % training, 15 testing, validation. method validated mean squared error, error histogram comprehensive regression analysis. These figures show accuracy proposed for Flow features velocity, profiles exemplified quantitatively have been graphically discussed. Velocity decreases porosity increases parameter while thermophoresis Brownian motion parameters. Consistency shown getting minimum absolute approaching zero, showing strength approach.

Language: Английский

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