Characterizing Quadratic Convection and Electromagnetically Induced Flow of Couple Stress Fluids in Microchannels

Zhang, Lijun; Bhatti, M. M.; Michaelides, Efstathios E.; Ellahi, R.

doi:10.1007/s12346-023-00883-z

Cited by 13 publications

(1 citation statement)

References 49 publications

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“…Proficiency in fluid dynamics, heat transfer, electromagnetics, and microfabrication technologies is crucial for addressing the intricacies of these electromagnetic fields (Reza et al 2021). Researchers have dedicated efforts to develop sophisticated design tools tailored to specific electronic applications, aiming to optimize performance and reliability (Li et al 2021;Benton et al 2019;Zhang et al 2024). This endeavor involves employing mathematical models, simulations, and experimental validations to fine-tune the geometry, materials, and operating parameters of fractional systems (Körpinar and Körpinar 2021;Körpinar 2021).…”

Section: Introductionmentioning

confidence: 99%

Fractional optical normalization operator of magnetic field and electroosmotic optimistic energy

Ogrenmis

2024

Opt Quant Electron

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In this manuscript, we introduce optical fractional normalization and fractional recursive operators for a particle. The significance of this research lies in obtaining optical fractional recursive operators and normalized operators of magnetic fields through the utilization of a fractional spherical frame within spherical space. Throughout the study, we employ the general form of fractional derivatives, as it enables us to derive more generalized results compared to classical derivatives. Additionally, we derive the microfluidic optical fractional electroosmotic magnetic optimistic fractional energy. We propose a design for optical recursion-based fractional electroosmotic magnetic optimistic fractional energy. This innovative study holds significant potential for applications across various fields, including fluid dynamics, optics, and energy conversion.

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Section: Introductionmentioning

confidence: 99%

Fractional optical normalization operator of magnetic field and electroosmotic optimistic energy

Ogrenmis

2024

Opt Quant Electron

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Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Sharma,

Mishra

et al. 2024

Z Angew Math Mech

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A novel mathematical model for a hybrid (Cu–CuO/blood) Jeffrey nanofluid passing a vertical symmetric microchannel along with an electroosmosis pump is presented. The focuses on the advancement of mathematical modeling techniques, its comprehensive analysis of microfluidic system dynamics, and its potential to inform the optimal design of devices using nanofluids with broad applications in various fields. Arrhenius's law is used to analyze endothermic–exothermic reactions and activation energy. The governing partial differential equations of the fixed frame are transformed into ordinary differential equations of the wave frame using self‐similarity transformations. Low Reynolds number and long‐wavelength approximations helped to find solutions of the equations by applying a suitable BVP solver in MATLAB. The fluid's velocity, temperature, concentration, and electroosmosis properties are studied graphically. Two‐dimensional contour plots of fluid velocity and three‐dimensional surface plots of fluid properties are discussed. Physically significant quantities of mass transfer rate, skin friction coefficient, entropy generation, and heat transfer rate are studied using contour plots. Artificial neural network simulation using Bayesian regularization backpropagation algorithms is analyzed for training state, error histogram, fit, performance, and regression plots. Conclusively, the comprehensive analysis of the fluid dynamics, entropy generation, mass and heat transfer, and in the microchannel, coupled with the successful implementation of artificial neural network simulation, contributes to an improved understanding of the system's behavior. Entropy generation was raised for enhanced Brownian motion number and reduced values of thermophoresis, activation energy, and endothermic–exothermic reaction parameters. This study's results can be used to improve the efficiency and effectiveness of microfluidic devices used in fields as diverse as electrical cooling and medicine delivery.

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Thermal analysis of 3D Darcy–Forchheimer flow of SWCNT–MWCNT/sodium alginate on Riga plate

Upreti,

Prakash,

Usman

et al. 2024

J Therm Anal Calorim

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Characterizing Quadratic Convection and Electromagnetically Induced Flow of Couple Stress Fluids in Microchannels

Cited by 13 publications

References 49 publications

Fractional optical normalization operator of magnetic field and electroosmotic optimistic energy

Fractional optical normalization operator of magnetic field and electroosmotic optimistic energy

Electroosmotic microchannel flow of blood conveying copper and cupric nanoparticles: Ciliary motion experiencing entropy generation using backpropagated networks

Thermal analysis of 3D Darcy–Forchheimer flow of SWCNT–MWCNT/sodium alginate on Riga plate

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