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![(A) Repercussion of microinertial parameter rj ${r}_{j}$ on velocity profile w(y) $w(y)$ and (B) repercussion of microinertial parameter rj ${r}_{j}$ on microrotation profile g(y) $g(y)$. [Color figure can be viewed at wileyonlinelibrary.com]](publication/365681640/figure/fig5/AS:11431281174600780@1689280597003/A-Repercussion-of-microinertial-parameter-rj-r-j-on-velocity-profile-wy-wy.png)
(A) Repercussion of microinertial parameter rj ${r}_{j}$ on velocity profile w(y) $w(y)$ and (B) repercussion of microinertial parameter rj ${r}_{j}$ on microrotation profile g(y) $g(y)$. [Color figure can be viewed at wileyonlinelibrary.com]
Source publication
This investigation was carried out with the purpose of presenting the flow of micropolar fluid flowing in the microchannel placed parallel to the ground. The prime aim of the work was to study the behavior of micropolar fluid and the response of the microrotation component when the two significant mechanisms namely Brownian movement and thermophore...
Citations
... The enhanced heat transfer properties of these two parameters render them highly applicable across diverse uses encompassing electronic cooling, heat exchangers, aerosol technology, solar accumulators, silicon thin film deposition and heat exchanger corrosion [35,36]. Almeida et al., [37] explored the intricate characteristics of micropolar fluids in micro channels considering the effects of Brownian motion and thermophoresis. Madhura and Babitha [38] conducted a study to examine the impact of nonlinear thermal radiation on the unsteady boundary layer flow of a micropolar Carreau nanofluid along a stretching sheet in the presence of Brownian motion and thermophoresis. ...
The objective of this paper is to analyze the impact of thermophoresis parameter, Brownian motion, velocity ratio parameter, similarity radius of the slim needle, magnetic parameter, Prandtl number and thermal radiation on the steady state, laminar, MHD hybrid nanofluid composed of MgO-Ag/H2O flowing along a horizontal hot thin needle. To achieve this, the BVP-5C shooting technique is employed through MATLAB to solve the transformed nonlinear ODEs governing the fluid flow. This study investigates the impact of non-dimensional parameters on the flow velocity, temperature and concentration profiles within the hybrid nanofluid. The effects of skin friction, local Nusselt number and Sherwood number are demonstrated through the use of tables. The observation reveals that elevating the thermophoresis parameter results in a simultaneous reduction in the temperature and concentration profiles, while an opposite behavior is observed for Brownian motion. The magnetic parameter and thermal radiation values result in a rising temperature profile, while the trend is reversed for the velocity ratio parameter, Prandtl number and Schmidt number. The Nusselt number demonstrates an upward trend with higher values of thermophoresis parameter, velocity ratio parameter and thermal radiation. Further, Sherwood number experiences an increase with greater values of Brownian motion and magnetic parameter but it displays a contrasting pattern for thermophoresis, velocity ratio parameter and thermal radiation parameter. Validation of this model with existing data has been excellent.
... Thermophoresis, in contrast, refers to the directed motion of particles in a fluid medium in response to a temperature gradient [28]. In heat transfer phenomena, thermophoresis effects arise when temperature gradients induce particle migration, leading to concentration variations within the fluid [29]. This occurrence is mostly pertinent in systems where temperature gradients exist like in combustion processes, microfluidic devices, or industrial furnaces. ...
... This occurrence is mostly pertinent in systems where temperature gradients exist like in combustion processes, microfluidic devices, or industrial furnaces. Thermophoresis impacts heat transfer by influencing particle deposition, aggregation, or dispersion, which in turn can alter convective heat transfer rates and heat distribution within the system [29]. Additionally, in mass transfer processes, thermophoresis affects the transport of particles and solutes, leading to non-uniform concentration profiles and modifying overall mass transfer rates [30,31]. ...
This study presents a numerical investigation of a viscous and incompressible three-dimensional flow of hybrid nanofluid composed of Ag and Al2O3 nanoparticles over a convectively heated bi-directional extending sheet with a porous medium. The main equations are converted into dimensionless form by using appropriate variables. The effects of magnetic field, porosity, Brownian motion, thermophoresis, and chemical reaction are investigated. Furthermore, the mass flux and zero-mass flux constraints are used to study heat and mass transfer rates. The obtained data show that the growing magnetic factor has reduced the velocity profiles while increasing the thermal profile. The increased porosity factor has decreased the velocity profiles. The increased thermal Biot number has increased the concentration and thermal profiles. When compared to passive control of nanoparticles, the hybrid nanofluid flow profiles are strongly influenced by the embedded factor in the active control of nanoparticles.
... When a fluid experiences a temperature gradient, suspended particles tend to move from regions of higher temperature to lower temperature. Fluid flow accompanied by Brownian motion and thermophoresis represents a complex interaction of phenomena with profound implications for heat transfer in various applications, particularly in nanoscale systems and colloidal suspensions [32,33]. Brownian motion, arising from the haphazard motion of particles mixed in a fluid for collisions with adjoining molecules, introduces a stochastic component to fluid flow. ...
Nanofluids hold paramount importance in various fields, notably in thermal engineering, due to their exceptional thermal conductivity and heat transfer properties. This heightened efficiency makes nanofluids invaluable in enhancing the performance of cooling systems, heating processes, and thermal management applications. Keeping in view these important applications, this study involves the analysis of ternary hybrid nanofluid containing \({\text{Cu}}\), \({\text{TiO}}_{2}\), and \({\text{SiO}}_{2}\) in water on a porous stretchy three-dimensional surface incorporating thermal radiation, thermophoretic forces, chemical reaction, Joule heating with convective and mass flux conditions. The leading equations rendered to dimensionless notation through the application of similarity transformation. Subsequently, the solution to the transformed equation is acquired using the bvp4c method. As outcome of the work, an elevated thermophoresis factor leads to an expansion of the concentration, whereas a lessening tendency is noted for Schmidt number, Brownian motion and chemical reactivity factor. The thermal efficiency of the ternary nanofluid is enhanced by factors such as thermophoresis thermal radiation, Biot number, Eckert number, and magnetic field. The computed estimates of drag force at surface reveal the impact of various parameters, indicating that an increase in the porosity parameter leads to a reduction in the surface drag force in \(x -\) as well as \(y -\) directions. Conversely, advancement in the magnetic factor causes an escalation in surface drags force along the \(y -\) direction. Higher Biot number and radiation parameter values enhance the heat transference proportion, whereas higher Brownian motion, thermophoresis, and Eckert number decrease the thermal flow rate. Additionally, escalation in chemical reaction, Schmidt number, and Brownian motions enhances the mass transfer rate. The numerical code for this work has satisfactory promise with the already published work. The insights gained from this analysis can be applied to enhance the efficiency of engineering processes where convective heat transfer is a critical factor, thereby improving the performance of various applications like cooling systems, heat exchangers, and other thermal management systems. The research findings have practical implications for industries seeking to optimize energy utilization and improve the thermal performance of their systems through the utilization of advanced nanofluid dynamics.
This study investigates the flow of Jeffrey nanofluid through the gap between a disk and a cone, incorporating the influences of thermophoresis and Brownian motion within the flow system. Suitable variables have used to convert the modeled equations to dimension-free notations. This set of dimensionless equations has then solved by using Levenberg Marquardt Scheme through Neural Network Algorithm (LMS-NNA). In this study, it has been observed that the absolute error (AE) between the reference and target data consistently falls in the range 10-4 to 10-5 demonstrating the exceptional accuracy performance of LMS-NNA. In all four scenarios it has noticed that transverse velocity distribution has declined with augmentation in magnetic and Jeffery fluid factors by keeping all the other parameters as fixed. It is evident that the optimal validation performance 2.822710-9 has been achieved at epoch 1000 for the transverse velocity when cone and disk gyrating in opposite directions.
This work investigates thermal enhancement for Casson magnetohydrodynamics (MHD) hybrid nanofluid flow on an exponentially elongating surface. The flow is influenced by thermal radiations, chemical reactivity, and heat source/sink. A magnetic field has been applied to the flow of fluid in a direction normal to the flow system. The thermal transportation has been controlled with the help of thermophoresis and Brownian motion effects. The leading equations have been converted to a set of dimensionless forms and have then been solved by using the bvp4c technique. It has been noticed in this work that, fluid velocities have declined with growth in porosity, magnetic, and Casson factors, and there is more reduction in velocity in the case of Cu + CuO/blood-based hybrid nanofluid as compared to blood flow or Cu/blood nanofluid profiles. Thermal distribution has augmented with an escalation in heat sink/source factor, Brownian motion, thermophoresis, magnetic and radiation factors as well as Eckert number. Concentration distribution has augmented with an upsurge in Brownian motion factor, Schmidt number, and chemical reactivity factor. Nusselt number has augmented with an escalation in magnetic, radiation, and heat sink/source factors as well as Eckert number. A comparative analysis has been carried out in this work with a fine agreement with previously established data. It has been established in this work that maximum heat is transformed in the case of Cu + CuO/blood hybrid nanofluid flow on an exponentially stretching sheet.
