Peristaltic transportation of hybrid nano-blood through a ciliated micro-vessel subject to heat source and Lorentz force

Ali, Asgar; Mebarek‐Oudina, Fateh; Barman, Alok; Das, S.; Ismail, A. I.

doi:10.1007/s10973-023-12217-x

Cited by 52 publications

(7 citation statements)

References 72 publications

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“…With the growth in the φ, the effective thermal conductivity of the heat transfer fluid (compared to the base fluid) increases, which leads to the improvement in the heat transfer rate. It should be mentioned that these properties cause an enhancement in the thermal conducting properties of the working fluid [45][46][47][48][49][50][51][52][53][54]. Therefore, the average Nu is proportional to the nanoparticle concentrations, and such a correlation contributes to the enhanced convective transfer.…”

Section: Effect Of Nanofluid Volume Fractionmentioning

confidence: 99%

Heat Transfer Enhancement Using Al2O3-MWCNT Hybrid-Nanofluid inside a Tube/Shell Heat Exchanger with Different Tube Shapes

Bouselsal,

Mebarek-Oudina,

Biswas

et al. 2023

Micromachines

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The high demand for compact heat exchangers has led researchers to develop high-quality and energy-efficient heat exchangers at a lower cost than conventional ones. To address this requirement, the present study focuses on improvements to the tube/shell heat exchanger to maximize the efficiency either by altering the tube’s geometrical shape and/or by adding nanoparticles in its heat transfer fluid. Water-based Al2O3-MWCNT hybrid nanofluid is utilized here as a heat transfer fluid. The fluid flows at a high temperature and constant velocity, and the tubes are maintained at a low temperature with various shapes of the tube. The involved transport equations are solved numerically by the finite-element-based computing tool. The results are presented using the streamlines, isotherms, entropy generation contours, and Nusselt number profiles for various nanoparticles volume fraction 0.01 ≤ φ ≤ 0.04 and Reynolds numbers 2400 ≤ Re ≤ 2700 for the different shaped tubes of the heat exchanger. The results indicate that the heat exchange rate is a growing function of the increasing nanoparticle concentration and velocity of the heat transfer fluid. The diamond-shaped tubes show a better geometric shape for obtaining the superior heat transfer of the heat exchanger. Heat transfer is further enhanced by using the hybrid nanofluid, and the enhancement goes up to 103.07% with a particle concentration of 2%. The corresponding entropy generation is also minimal with the diamond-shaped tubes. The outcome of the study is very significant in the industrial field and can solve many heat transfer problems.

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Section: Effect Of Nanofluid Volume Fractionmentioning

confidence: 99%

Heat Transfer Enhancement Using Al2O3-MWCNT Hybrid-Nanofluid inside a Tube/Shell Heat Exchanger with Different Tube Shapes

Bouselsal,

Mebarek-Oudina,

Biswas

et al. 2023

Micromachines

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“…The term "nanofluid" was used to describe a fluid containing particles on the nanoscale. With their longterm stability, minimal clogging, and thermal conductivity, nano-liquids have the potential to be useful in power engines, nuclear reactors, microelectronics, pharmaceuticals, solar energy, and so on [5][6][7][8][9][10][11]. Furthermore, there are no side consequences to dealing with nanoparticles, such as a drop in pressure, erosion, or sedimentation.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Magnetic Dipole Effect on a Radiative Ferromagnetic Liquid Flowing over a Porous Stretched Sheet

Dharmaiah,

Mebarek-Oudina,

Balamurugan

et al. 2024

FDMP

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The effects of a magnetic dipole on a nonlinear thermally radiative ferromagnetic liquid flowing over a stretched surface in the presence of Brownian motion and thermophoresis are investigated. By means of a similarity transformation, ordinary differential equations are derived and solved afterwards using a numerical (the BVP4C) method. The impact of various parameters, namely the velocity, temperature, concentration, is presented graphically. It is shown that the nanoparticles properties, in conjunction with the magnetic dipole effect, can increase the thermal conductivity of the engineered nanofluid and, consequently, the heat transfer. Comparison with earlier studies indicates high accuracy and effectiveness of the numerical approach. An increase in the Brownian motion parameter and thermophoresis parameter enhances the concentration and the related boundary layer. The skin-friction rises when the viscosity parameter is increased. A larger value of the ferromagnetic parameter results in a higher skin-friction and, vice versa, in a smaller Nusselt number.

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“…These encompass targeted drug delivery, diagnostic imaging, hyperthermia therapy, biomedical sensing, tissue engineering, gene delivery, and more. Notable advancements in this realm have been illuminated through significant investigations by esteemed researchers [5][6][7][8][9].…”

Section: Introductionsmentioning

confidence: 99%

Designing a neuron network topology for forecasting streaming patterns of highly magnetized couple stress trihybrid nano-blood in a constricted/dilated artery by means of electric double layer principle

Das,

Das

2024

Preprint

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Exploring electrokinetic phenomena in the context of biofluids blended with nanoparticles opens up possibilities for innovative biomedical applications. It may open pathways to novel treatments involving electromagnetic fields and nanoparticle-infused blood tailored to target specific medical issues. This research is centred on investigating streaming patterns in highly magnetized couple stress blood infused with single-walled carbon nanotubes (SWCNTs), titania, and alumina within a constricted/dilated arterial channel influenced by electroosmosis. The model is designed with the imposition of an intense external magnetic field oriented perpendicularly to the channel, giving rise to phenomena such as Hall currents, ion-slip currents, and Joule heating. The electric potential within the electric double layer (EDL) is calculated through the solution of the Poisson-Boltzmann equation. Computation of the proposed blood flow model is accomplished by harnessing the Runge-Kutta-Fehlberg (RKF45) shooting scheme via the bvp4c solver in Mathematica. The study is carried out by employing informative graphs and tables to comprehensively understand and elucidate the physical sequels of crucial factors on flow dynamics and physical quantities. Notable outcomes include the observation that blood temperature regenerates with higher values of Hall and ion-slip parameters, while skin friction on the artery’s upper wall abates as the electroosmosis parameter amplifies. An increase in nanoparticles’ volume fraction (NVF) leads to higher Nusselt numbers on the upper wall. Furthermore, an artificial neural network (ANN) model is developed using reference datasets obtained from numerical outcomes. This ANN model accurately predicts crucial flow quantities, with error rates of only 0.07% for the skin friction coefficient and 0.05% for the Nusselt number. The findings of this study hold potential implications for the design of more effective drug delivery systems, biomedical devices, improved diagnostic accuracy and informed treatment decisions, among other applications.

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Peristaltic transportation of hybrid nano-blood through a ciliated micro-vessel subject to heat source and Lorentz force

Cited by 52 publications

References 72 publications

Heat Transfer Enhancement Using Al2O3-MWCNT Hybrid-Nanofluid inside a Tube/Shell Heat Exchanger with Different Tube Shapes

Heat Transfer Enhancement Using Al2O3-MWCNT Hybrid-Nanofluid inside a Tube/Shell Heat Exchanger with Different Tube Shapes

Numerical Analysis of the Magnetic Dipole Effect on a Radiative Ferromagnetic Liquid Flowing over a Porous Stretched Sheet

Designing a neuron network topology for forecasting streaming patterns of highly magnetized couple stress trihybrid nano-blood in a constricted/dilated artery by means of electric double layer principle

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