Thermal Radiation Parameter Research Articles

RESEARCH OF THE SIDE VENTILATION SYSTEM IN THE POULTRY HOUSE USING CFD

Maintaining a standardized microclimate in the poultry house is one of the main factors. The quality of the output ultimately depends on the quality indicators of the air parameters. Keeping a bird requires great efforts and technological solutions. In connection with this study, there is an improvement of the microclimate system in the air environment of the poultry house due to the inclusion of exhaust fans on the rear end wall in an unconventional way. Computational Fluid Dynamics (CFD) using ANSYS Fluent is a powerful tool for predicting the microclimate system in the poultry house as an alternative to experimental studies. The CFD model was performed on the Navier-Stokes equations for convective flows. The calculations use the Discrete Ordinates radiation model and the Spalart-Allmaras turbulence model.
 The calculations were made with an air consumption of 21.5 kg/s. The temperature of the outside air is assumed equal to +3 ºС and the thermal radiation parameter is entered. For air removal, Munters EM50 1.5 HP exhaust fans are used in a total number of 4 pcs. Inflow valves Wlotpowietrza 3000-VFG with a total number of 80 pcs., which are placed at a height of 0.21 m from the ceiling (1-8 valves) and 0.81 m for 9-40 valves.
 According to the results of CFD modeling of hydrodynamics and heat and mass exchange processes, it was concluded that changing the angle of the spoiler by 73o allows air to be supplied to the center of the poultry house. The upper air layers near the ceiling and near the side wall have a slightly higher temperature. This is accompanied by radiation from the sun and ranges from +21.5 to +24.5 ℃. Since the bird is a source of heat, and in combination with radiation, the air in the room is partially heated. In the center of the room along the entire height, the temperature reaches +15-16 ℃. At the same time, the pressure drop of the inlet valves is 70 Pa, which allows the exhaust fan to be fully supplied. The air velocity at the inlet of the inflow valves is 11.54 m/s. The average air speed at a height of 0.7 m from the floor level is 0.5 m/s, the temperature is 16.55 ℃.
 Thus, the presented scientific research can be used in the future to develop new ventilation systems for poultry houses.

Influence of exponential heat source, variable viscosity and shape factor on a hybrid nanofluid flow over a flat plate when thermal radiation and chemical reaction are significant

The significance of hybrid nanofluid flow over a flat plate lies in its ability to enhance heat transfer, improve energy efficiency, enable temperature control, and provide surface protection. For instance, hybrid nanofluids can provide a protective coating on the surface of a flat plate due to the presence of nanoparticles. This coating can offer improved corrosion resistance, erosion resistance, and anti-fouling properties. Consequently, it can extend the lifespan of the flat plate and reduce maintenance requirements. In this study, we examined how several characteristics, such as variable viscosity, chemical reaction, thermal radiation and shape factor of nanoparticles, affect the flow of a hybrid nanofluid (H[Formula: see text]) through a flat plate. The equations required to represent the problem have been turned into a system of nonlinear ordinary differential equations, and this system has been unraveled by means of the bvp4c solver. Outcomes are provided for three instances related to shape factor i.e. Platelet, Cylinder and Spherical. Using Multiple Linear Regression (MLR), we investigated how physical parameters of concern together with friction factor, are affected by a variety of parameters. It is remarked that the fluid’s velocity lessens as the variable viscosity parameter enhances. It is discovered that the temperature profile increases with the rise in exponential heat source parameter ([Formula: see text]). It is discovered that when [Formula: see text], the Nusselt number declines by 0.03588 (Platelet shape), 0.03562 (Cylinder shape), and 0.03489 (Spherical shape). It has been noted that magnetic field parameter (Mg) reduces the coefficient of skin friction. At [Formula: see text], the skin friction coefficient is seen to drop at a rate of 1.15018 (Platelet shape), 1.14871 (Cylinder shape), and 1.14476 (Spherical shape). There is an enhancement in the Sherwood number with the rise in Schmidt number (St) and chemical reaction parameter (Cr). At [Formula: see text] the Sherwood number is seen to rise at a rate of 0.248303 (Platelet shape), 0.248344 (Cylinder shape), and 0.248447 (Spherical shape). Furthermore, it is detected that the fluid’s temperature rises as the thermal radiation parameter enhances and the entropy generation increases as the variable viscosity parameter increases.

Entropy production in unsteady MHD double diffusive and chemically reactive nanofluid flow past a rotating permeable plate using overlapping grid spectral collocation technique

The entropy production phenomenon due to the applied external magnetic fields, thermal dissipation, chemical reaction and the impact of rotating pervious plate on heat transfer, nanofluid friction and mass transfer has been numerically explored. The nanofluid flow is presumed to be unsteady, smooth, hydro-dynamically and electrically conducting. The well known Navier–Stokes time-dependent equations in cartesian coordinates for velocity, temperature and concentration are modelled and scaled down to a system of ODEs by applying suitable similarity transformations with unsteady dimensionless parameters. A new numerical scheme known as the overlapping grids spectral collocation method (OGSCM) is applied in finding the approximate solutions to the highly nonlinear ODEs. The results obtained are then used for solving the entropy equation and the rate of irreversibility is represented graphically. Several engineering variables, such as the coefficient of heat transfer, Nusselt number and Sherwood number, are also thoroughly examined. The OGSCM proved to be accurate, computationally efficient, time efficient and converges fast. We discovered that increased applied magnetic field, chemical reaction parameter, rotation parameter, and Schmidt parameter insert more energy into the system which reduces the thermal boundary layer and hence reducing the rate of entropy generation. Furthermore, the entropy generation rate is increased by increasing the Grashof number, Brinkman number, permeability, Prandtl number, and thermal radiation parameter.

Entropy analysis on EMHD 3D micropolar tri-hybrid nanofluid flow of solar radiative slendering sheet by a machine learning algorithm

The purpose of this paper is to analyze the heat transfer behavior of the electromagnetic 3D micropolar tri-hybrid nanofluid flow of a solar radiative slendering sheet with non-Fourier heat flux model. The conversion of solar radiation into thermal energy is an area of significant interest as the demand for renewable heat and power continues to grow. Due to their enhanced ability to promote heat transmission, nanofluids can significantly contribute to enhancing the efficiency of solar-thermal systems. The combination of silicon oil-based silicon (Si), magnesium oxide (MgO), and titanium (Ti) nanofluids has attracted attention for their ability to improve the performance of solar-thermal systems. The present study discloses a new approach for intelligent numerical computing solving, which utilizes an MLP feed-forward back-propagation ANN and the Levenberg-Marquard algorithm. The collection of data was conducted for the purpose of testing, certifying, and training the ANN model. The Bvp4c solver in MATLAB is utilized to solve the nonlinear equations governing the momentum, temperature, skin-friction coefficient, and Nusselt number. The characteristics of numerous dimensionless parameters such as porosity parameter left(K={0.0,2.0,4.0}right), vortex viscosity parameter left({R}_{1}={0.5,1.0,1.5}right), electric field parameter left(E={0.0,0.1,0.2}right), thermal relaxation time left(Lambda ={0.01,0.10,0.20}right), heat source/sink parameter, left(Q=-{0.3,0.0,0.3}right) thermal radiation parameter left(R={0.5,1}.{0,1.5}right), temperature ratio parameter left({theta }_{w}={0.5,1.0,1.5}right),nanoparticle volume fraction left(phi ={0.00,0.02,0.04}right) on Si + MgO + Ti/silicon oil micropolar tri-hybrid nanofluida are analyzed. The ANN model engages in a process of data selection, network construction, training, and evaluation of its effectiveness through the utilization of mean square error. Tables and graphs are used to show how essential parameters affect fluid transport properties. The velocity profile is decreased by higher values of the porosity parameter, whereas the temperature profile is increased. The temperature profile is inversely proportional to higher values of the electric field parameter. The micro-rotation profiles reduced by expanding values vortex viscosity parameter. It has been determined that entropy generation and Bejan number intensifications for enlarged nanoparticle volume fraction.

Convection heat transfer of MHD fluid flow in the circular cavity with various obstacles: Finite element approach

In the present research, a study has been conducted on a model to investigate magnetohydrodynamic (MHD) heat and mass transfer phenomena. In the geometry of this model, there is a circular cavity with a variable number of obstacles in each step. At each stage, some obstacles are heated, and its effect on fluid flow and heat transfer is investigated. Solving and developing partial differential equations is done using the finite element method. The effects of Rayleigh and Hartmann numbers on flow lines, isotherms, and equivalent concentrations have been investigated, and the output was displayed as contours and graphs. Finally, the Nusselt diagram is displayed. The main purpose of the present study is to evaluate the effect of changes in Rayleigh and Hartmann numbers in different geometries on its behavior. This particular flow configuration was chosen because of the fundamental role of magnetohydrodynamics and its widespread use in engineering, industry, and medicine. The findings of this research show that in almost all investigated geometries, the behavior of streamlines, isotherms, and isothermal concentrations is anti-symmetrical at X = 0.5. Also, with the heating of the upper obstacles, the total Nusselt number decreases, and with the heating of the lower obstacles, the total Nusselt number increases. The behavior of the total Nusselt number against the increase of the thermal radiation parameter is increasing, and as the number of obstacles inside the cavity increases, the total Nusselt number increases.

Radiative MHD flow of hybrid nanofluid over permeable moving plate with Joule heating and thermal slip effects

The heightened thermal efficiency of hybrid nanofluids presents substantial practical uses in diverse industrial and engineering fields. Thus, the aims of this research are i) to analyze the impact of pertinent parameters towards flow and heat transfer of hybrid Cu-Al2O3/water nanofluid over permeable moving surface with mutual effects of magnetohydrodynamic (MHD), thermal radiation, Joule heating, and thermal slip condition and ii) to examine the nature of dual solutions. The similarity transformation reduces the complexity of the PDEs to a system of ODEs, which are then numerically solved using bvp4c MATLAB. Two solutions are observable when the surface move approaches the origin (λ<0) which leads to a stability analysis and validates the first solution as a stable and physically reliable solution. It was discovered at a 1:1 ratio of Cu and Al2O3 volume concentrations immersed in water; the hybrid nanofluid offers a remarkable heat transportation ability than nanofluid and water. An escalation of thermal radiation and magnetic parameters contributed to 79 % and 9.35 % enhancement to the heat transfer rate. The growth in magnetic parameters promotes a delay in boundary layer separation however insignificantly impacted by thermal slip parameter and Eckert number.

Intelligent computing Levenberg Marquardt paradigm for the analysis of Hall current on thermal radiative hybrid nanofluid flow over a spinning surface

The aim of this work is to construct a supervised learning neural network algorithm termed as LM-SLNNAs (Levenberg Marquardt) for the influence of Hall current on Radiation Nanofluidic flow on a spinning Disk (IHC-RNF-OSD). The effects of a magnetic field and heat radiation have also been considered in order to better understand of the flow and energy details. Hybrid nanofluid, comprising Copper (Cu) and Titanium Dioxide (TiO2) in water, is utilized. The intended IHC-RNF-OSD is originally represented as a system of PDEs, which may be transformed into a system of non-linear ODEs using the appropriate transformation. To construct a dataset of the proposed model for six scenarios, the bvp4c numerical technique is used. These scenarios may produce by adjusting the physical variations of the model such as hall parameter, thermal radiation parameter, Prandtl number, etc. LM-SLNNAs executed operations on training, testing, and certification to data-samples of IHC-RNF-OSD model. Comparing the conventional result and the outputs of the suggested solver for the proposed model, the statistical analysis such as M.S.E (mean squared error), histograms plots, regression and absolute error analysis has used which confirmed the efficiency of the LM-SLNNAs. Furthermore, the result demonstrates that the radial skin frictional factor is increased for the Hall parameter; however, the transverse frictional component displays the inverse situation of this. The major goal of this research is to use artificial intelligence to model and predict the properties of nanofluid/hybrid nanofluid, choose the optimal ANN structure from a group of predicted structures, and control time and cost by predicting the ANN with the least error.

Numerical studies on the effects of melting heat transfer over quadratic radiative-magnetic hybrid nanofluid flow toward a porous shrinkable surface influenced by second-order slip velocity: Stability analysis and entropy generation

ABSTRACT The exclusive behavior of hybrid nanofluid flow and heat transmission properties through a porous medium toward a porous shrinking surface along with the external magnetic field, melting heat transfer, and second-order slip is investigated in this study. Moreover, the effects of a porous medium and quadratic thermal radiation are also incorporated. Molybdenum disulfide () and silicon dioxide () are hybridized as a very dilute homogenous mixture in the base fluid water (). Nonlinear partial differential equations with specified boundary constraints are transformed into a set of nonlinear ordinary differential equations using similarities transformation before being solved numerically with the help of default solver by bvp4c technique in MATLAB programming. This work is distinctive because it presents a novel hybrid nanofluid mathematical model with multiple (lower and upper) solution branches for the shrinking case within the defined ranges of the physical parameters. The temporal stability analysis shows that only one solution is stable as time evolves. The results are shown as velocity and temperature curves, skin friction coefficient, and local Nusselt number in the form of tabulated data and graphical structures. The heat for quadratic thermal radiation and melting heat transfer parameters contribute to the progress of thermal enhancement. Furthermore, by combining silicon oxide with a volume percentage of molybdenum disulfide, the flow is retarded, and heat transfer is enhanced. Entropy formation is considerably enhanced by quadratic thermal radiation and nanoparticle solid volume fraction parameters. In engineering, hybrid nanofluid has many uses, including in cosmetics, fabrics, paper plastics, automobiles, soaps, food packaging, food colorants, homes, cancer treatment, pharmaceuticals, ceramics, and paints.

Impact of Arrhenius energy and irregular heat absorption on generalized second grade fluid MHD flow over nonlinear elongating surface with thermal radiation and Cattaneo–Christov heat flux theory

In this paper, the free convection flow phenomenon on magnetized second-grade nanofluid over a nonlinear elongating surface has been modeled under the assumptions of generalized Fick’s and Cattaneo–Christov heat flux relations. The non-uniform heat source and sink and thermal radiation effects are used in the energy equation with the Buongiorno nanofluid model. The effect on activation energy and chemical processes is also examined, making the current numerical scrutinization innovative. The current mathematical model begins with partial derivative equations (PDEs), which are then transformed into ordinary derivative equations (ODEs) using similarity transformations. The outcomes are obtained using a combination of the finite-difference scheme with the collocation method, approximated up to desirable accuracy, and the effects of various parameters on the modified second-grade nanofluid are discussed using tables and graphs. The temperature distribution for the thermal boundary layer is raised with nonlinear thermal radiation and Brownian motion parameters. The present thorough analysis identified several technical and industrial applications, including Biomedical applications in cancer treatment, electrical wire manufacturing, oil friction control in pipelines, manufacturing processes, and aerodynamic expulsion utilizations.

Magnetic field and dissipation effects on mixed convection viscous fluid flow by a channel in the presence of porous medium and heat generation/absorption phenomenon

AbstractIn this study, we investigate the phenomenon of mixed convection in viscous fluid flow by a vertical channel, considering the presence of magneto‐hydro‐dynamics and porosity. Mixed convection occurs when both buoyancy forces and external forces, such as pumps or fans, influence the flow behavior. Understanding and accurately predicting mixed convection is crucial for optimizing heat exchanger design and performance. To model the temperature equation, we utilize the concept of the first law of thermodynamics. Additionally, we incorporate effects such as Joule heating, heat generation, and radiative heat flux in the energy equation modeling. The resulting physical liquid equations are solved using the shooting technique with the RKF (Runge–Kutta–Fehlberg) scheme. We present graphical representations of the flow variables, discussing their behavior in detail. The introduction provides an overview of the paper's roadmap, while the conclusion highlights the main and significant results obtained from our study. We found that, the temperature is more when liquid motion in between channel for large numerical values of thermal radiation parameter and Reynolds number.

A parametric study on the analysis of thermosolutal convection for magneto-hydrodynamics dependent viscous fluid

This article explores the influence of Joule heating and viscous dissipation on the unsteady three-dimensional squeezing flow of Newtonian fluid. The flow in a rotating channel with a lower stretched permeable wall is observed under the influence of a uniform magnetic field. The impact of thermal radiation is also considered. The effects of mass and heat transfer on the squeezing flow of Newtonian fluids are observed and modelled using the four fundamental governing equations of fluid flow: the mass equation, momentum equation, concentration equation, and energy equation. Using the appropriate similarity transformations, the resultant non-linear partial differential equations are then transformed into ordinary differential equations. The analytical strategy is developed using the homotopy analysis method to obtain the series solution. The influence of several physical parameters, including the squeezing parameter, the suction parameter, the magnetic number, the rotation parameter, the Eckert number, the Prandtl number, the Dufour number, the Soret number, the radiation parameter, and the Schmidt number, on the velocity profile, energy, and concentration are also discussed through graphs. Additionally, it is observed that enhancing the top plate’s squeezing impact causes a rise in the velocity profile while lowering the temperature and concentration distribution. It is also found that for the velocity field, increasing the magnetic number shows a decrease in the value of the velocity field along the y- and z-axis, whereas the velocity field along the x-axis exhibits dual behavior, such that it initially falls as the magnetic number intensifies but starts to rise in the upper region of the channel. The impact of the Dufour, Soret, and Eckert numbers on temperature and concentration distribution is also studied. It is found that while these numbers directly affect the temperature distribution, the mass distribution follows the opposite trend. Also, it is noticed that the thermal radiation parameter is an increasing function of temperature and mass distribution. Further, graphs and tables are presented to illustrate an error analysis.

Application of Heat and Mass Transfer to Convective Flow of Casson Fluids in a Microchannel with Caputo–Fabrizio Derivative Approach

It has been demonstrated that fractional derivatives exhibit a range of solutions that are helpful in the engineering, medical, and manufacturing sciences. Particularly in analytical research, investigations on using fractional derivatives in fluid flow are still in their infancy. Therefore, it is still being determined whether fractional derivatives may be represented geometrically in the mechanics of the flow of fluids. However, theoretical research will be helpful in supporting upcoming experimental research. Therefore, the aim of this study is to showcase an application of Caputo–Fabrizio toward the Casson fluid flowing in an unsteady boundary layer. Mass diffusion and heat radiation are taken into account while analyzing the PDEs that governed the problem. Dimensionless governing equations are formed from the fractional PDEs by utilizing the necessary dimensionless variables. Once the equations have been transformed into linear ODEs, the solution may then be found by applying the Laplace transform technique. Inverting Laplace transforms by Stehfest’s and Tzou’s Algorithm is then used to retrieve the original variables and the solutions as concentration, temperature, and velocity fields. Graphical illustrations sketched using the Mathcad program are used to show how physical parameters affect temperature, velocity, and concentration profiles. Findings show that the velocity, temperature, and concentration profiles have been improved by thermal radiation, mass diffusion, and fractional parameters. The fractional derivative is a more general derivative due to its nonlocal and flexible nature the flow model that is formulated by applying the fractional derivative is suitable to address the memory effect. The present fractionalized results of velocity, concentration, and temperature are more general and applicable to the wide range of orders of fractional derivatives.

Dynamics of thermal radiation and Lorentz force on the hybrid nanofluid (Ethylene Glycol + Graphene + Copper) flow via an exponentially stretching sheet with chemical reaction: An irreversibility analysis

AbstractAn exciting new class of heat transmission fluids, nanofluids, has been developed as an alternative to traditional fluids in manufacturing. Fuel cells, heat exchangers and pharmaceutical processes are just a few of the many uses for them. When compared to monofluids, the heat transmission properties of hybrid fluids are superior. These are findings used in an extensive diversity of fields, from solar energy to air conditioning. The objective of this paper is to examine how Lorentz force and chemical reaction parameters affect the characteristics of a couple stress hybrid nanofluid (Ethylene Glycol + Graphene + Copper) flow via an exponentially stretching surface. The heat transport phenomenon is studied using viscous dissipation, exponential heat source and thermal radiation parameters. Furthermore, irreversibility analysis is provided in this paper. Governing equations are transformed into a set of nonlinear ordinary differential equations using suitable similarity transformations. The bvp4c solver in MATLAB is used to solve the transformed system. Engineering parameters of interest, including skin friction coefficient, are described using bar diagrams. It has been noted that the magnetic field and volume fraction of graphene nanoparticles (ϕ1) reduce the skin friction coefficient. At , the skin friction coefficient decreases at a rate of 4.68187. It is observed that there is an increment in the fluid temperature with the rise in the exponential heat source parameter, and the velocity profile increases with the increase in the mixed convection parameter. It is detected that, while Eckert number () was set to , Nusselt number was reduced by 6.29239. It is noticed that, while the chemical reaction () is set to , the mass transfer rate rises at a Rate of 0.349644. It has been observed that as the Brinkmann number and magnetic field parameters increase, so does the rate of entropy production. It is also detected that as the porosity parameter increases, the fluid momentum decreases. Furthermore, increasing the couple stress parameter decreases the fluid velocity.

Heat and mass transfer in Maxwell fluid with nanoparticles past a stretching sheet in the existence of thermal radiation and chemical reaction

ABSTRACT The objective of this work is to examine the distinctive features of heat and mass transfer in a 2-dimensional Maxwell fluid that is incompressible and contains electrically conducting nanoparticles. They are illustrated by using a stretched sheet with convective boundary conditions and a heat source/sink in the presence of thermal radiation and chemical interaction. Studies of hydromagnetic flow and heat transfer across a stretched sheet have lately attracted a great deal of attention as a result of its numerous industrial applications and a huge impact on a broad variety of manufacturing processes. Power plants, heat exchangers, MHD generators, aerodynamics, plastic sheet extrusion, condensation processes, and metal spinning are examples of these processes. The partial differential equations (PDEs) that govern the flow and the boundary conditions that correspond with them may be non-dimensionalized by using the appropriate similarity variables. The resulting transformed ordinary differential equations (ODEs) are solved using the Runge-Kutta-Fehlberg scheme of the fourth and fifth order. By assuming a value for the boundary condition, the shooting approach transforms the boundary value problem (BVP) into an initial value problem (IVP), which is subsequently solved using the RKF45 algorithm. Graphical representations of how such embedded thermo-physical parameters significantly impact the velocity, temperature, and concentration are assessed and shown. A comparison case study is made with previously published literature, and a great correlation between the results exists. The primary results of the research are that raising estimates of the chemical reaction parameter minimises the concentration distribution while increasing the thermal radiation parameter raises the temperature. As the quantity of thermophoresis rises, the thickness of the boundary layer increases, causing the surface temperature to rise, resulting in a temperature rise.

Instability of MHD mixed convection flow of nanofluid in porous channel with thermal radiation, chemical reaction, Dufour and Soret effects

The present paper aims to investigate a stability analysis of the mixed convection of Al2O3/water nanofluid through an anisotropic porous channel heated from below and cooled from above. The effects of the magnetic field, thermal radiation, chemical reaction, mass transfer (Soret effect) and energy transfer (Dufour effect) are taken into consideration. The equations governing the motion of the nanofluid are converted by means of hydrodynamic stability theory into a system of eigenvalue equations which is then solved numerically by the spectral collocation method. The effects of Hartmann number, thermal radiation parameter, volume fraction of nanoparticles, permeability parameter, chemical reaction parameter, Dufour and Soret number are presented and analyzed. The results showed that in presence of nanoparticles the inertia of the working fluid increases, which dampens the disturbances and thus reduces their growth. The Hartman number attenuated the amplitude of the disturbances and thus has a stabilizing effect. The permeability parameter affected the stability of the flow and its growth prevented the redistribution of disturbances within the flow, which reflected its stabilizing character. The numbers of Soret and Dufour showed an important effect on the stability of the convective mixed flow. Their growth increased the transition Reynolds number for which there was a transition to instabilities, which prevented the transition to increasingly turbulent flows. On the other hand, the increase in the chemical reaction parameter decreased the values of transition Reynolds number, thus showing that the chemical reaction maintained the instabilities.

Radiating and electromagnetic nanofluids flow over an exponentially accelerated Riga plate with heat sink

In current history, there has been a significant interest in contemporary nanostructures for nanoelectronic systems. These systems progressively employ dynamic media to boost efficiency. Inspired by its applications in engineering, The effect of radiation and heat sink on electromagnetic nanofluids flow past an exponentially accelerated Riga surface is studied analytically using the Laplace transform technique. The base fluid is water, and three selected nanoparticles are used: Copper, Titanium dioxide, and Aluminium oxide. The porous medium is taken into account, as well as the validity of the Boussinesq approximation. The influence of modified Hartmann number, heat absorption, Grashof number, and thermal radiation parameter on nanofluid velocity and temperature profiles is depicted graphically and discussed. The shear stress and Nusselt number are determined, and outcomes are presented via plots and a table. The exact solution shows that the modified Hartmann number, nanofluid volume fraction and heat sink tend to improve as the values of Shear stress (skin friction) for Cu – water nanofluid shows a comparative increase over Al2O3 and TiO2 nanofluids. Whereas the Radiation effect tends to decrease as the shear stress values for Cu–water nanofluids show a higher decline over Al2O3 and TiO2 nanofluids.

Multi-objective optimization of electrokinetic energy conversion efficiency and entropy generation for streaming potential driven electromagnetohydrodynamic flow of couple stress Casson fluid in microchannels with slip-dependent zeta potentials

The present study develops a new mathematical approach to the pressure-mediated streaming potential flow of couple-stress Casson fluids with the influence of slip-dependent zeta potential between two parallel plates in a microchannel. The lateral electric and transverse magnetic fields are externally applied to control the fluid flow. A multi-objective optimization technique was implemented by utilizing the non-dominated sorting genetic algorithm (NSGA-II) by varying different constraints to maximize the electrokinetic energy conversion efficiency and minimize the irreversibility of the system. The present results show that the couple stress and Casson parameters influence the development of streaming potential, electrokinetic energy conversion (EKEC) efficiency, temperature, Nusselt number, and Bejan number for asymmetric velocity slip and temperature jump circumstances. The viscous dissipation, Joule heating, and thermal radiation parameters significantly affect the heat transfer. According to the present results, the EKEC efficiency increases with a slip-dependent zeta potential of couple stress Casson fluid, couple stress fluid, Casson fluid, and Newtonian fluid by 45.92 %, 47.10 %, 42.81 %, and 37.68 %, respectively, compared to that for the slip-independent zeta potential. At the centre of the microchannel for the jump boundary conditions, temperature increases by 2.95 % compared to no jump boundary conditions.

Influence of shape factor on a chemically reactive hybrid nanofluid flow via a moving plate when Soret and Dufour effects are significant: An irreversibility analysis with Cattaneo-Christov heat flux model

Nanofluids, which are suspensions of nanoparticles in base fluids, have gained significant attention in the field of fluid dynamics due to their unique properties and potential applications. Researchers are exploring the use of nanofluids in areas such as energy storage, solar energy conversion, biomedical devices, and advanced manufacturing processes. Nanofluids offer opportunities to improve existing fluid-based technologies and enable the development of novel systems with enhanced performance. The influence of shape factor, Soret, Dufour and quadratic thermal radiation parameters on a hybrid nanofluid (Water + Multi-Walled Carbon Nanotubes () + Copper (II) oxide ()) flow over a flat plate with chemical reaction is analyzed in this article. The process of heat transfer is analyzed using the heat flux model developed by Cattaneo and Christov. This article also includes an analysis of irreversibility. Governing equations of this study are transformed into a system of nonlinear ordinary differential equations by using suitable similarity transformations, and this system is solved by means of the bvp4c solver. Outcomes are provided for three instances related to shape factor i.e. Platelet, Cylinder and Brick. Influence of some important parameters (including Dufour number) on skin friction coefficient, Nusselt number and Sherwood number were discussed using bar diagrams. It is clear from a closer inspection that as skin friction coefficient declines with the escalation in magnetic field parameter () and volume fraction of nanoparticles (). At the skin friction coefficient is seen to drop at a rate of 0.38663 (Platelet shape), 0.40361 (Cylinder shape) and 0.42987 (Brick shape). It is detected that Dufour number () and thermal relaxation parameter () both have different effects on the Nusselt number. It is discovered that, when the Nusselt number declines by 0.28159 (in case of Platelet), 0.27528 (in case of Cylinder), and 0.26552 (in case of Brick).

Mixed Convection of Cu–H2O Nanofluid in a Darcy–Forchheimer Porous Medium Microchannel with Thermal Radiation and Convective Heating

Heat transfer and convective flow of Cu–H2O nanofluid in a microchannel with thermal radiation has many attributes in engineering, industries, and biomedical sciences including cooling of electronics, drug delivery, cancer therapy, optics, missiles, satellites, and lubricants. Therefore, this paper aims to investigate the hydrodynamical behaviors and heat transfer characteristics of Cu–H2O nanofluid through a porous medium microchannel with thermal radiation and convective heating. The highly non-linear partial differential equations that govern the momentum and energy equations are formulated, non-dimensionalized, transformed into ordinary differential equations and solved numerically via the fourth order Runge-Kutta integration scheme. Consequently, the numerical simulation reveals that the nanofluid velocity and temperature profiles show a rising pattern with increasing values of the pressure gradient parameter, variable viscosity parameter, Darcy number, thermal Grashof number and Eckert number. The temperature profile escalates with the Prandtl number however it diminishes with the Biot number, Forchheimer number, suction/injection Reynolds number and nanoparticles volume fraction. Furthermore, the thermal radiation parameter indicates a retarding effect on the temperature profile and hence, radiation quite effectively controls the microchannel temperature distribution which plays a significant role in cooling the flow transport system. The skin friction coefficient at both microchannel walls indicates a rising pattern with the suction/injection Reynolds number, thermal Grashof number, Eckert number and Darcy number. Moreover, at both microchannel walls the heat transfer rate enhances for large values of the suction/injection Reynolds number, thermal Grashof number, Eckert number, variable viscosity parameter and Darcy number whereas it decreases with the thermal radiation parameter, Forchheimer number and nanoparticles volume fraction. The Biot number reveals an opposite effect on the heat transfer rate at the left and right walls of the microvhannel.

Intelligent computing for MHD radiative Von Kármán Casson nanofluid along Darcy-Fochheimer medium with activation energy

The impact of activation energy in chemical processes, heat radiations, and temperature gradients on non-Darcian steady MHD convective Casson nanofluid flows (NMHD-CCNF) over a radial elongated circular cylinder is investigated in this study. The network of partial differential equations (PDEs) for NMHD-CCNF is developed using the modified Buongiorno framework, and the network of controlling PDEs is then transformed into ordinary differential equations (ODEs) utilizing the Von Karman method. Finally, the resulting non-linear ODEs are computed using the ND-solve approach to produce sets of data to assess the proposed model's skills, which can then be handled using the Bayesian Regularization technique of artificial neural networks (BRT-ANN). A novel stochastic computing-based application is being developed to evaluate the importance of NMHD-CCNF across a spinning disc that is radially stretched. The novelty and significance of results for better understanding, clarity, and highlighting the innovative contributions and significance of the proposed scheme. Further, to check the validity of the defined results for NMHD-CCNF, error charts, validation, and mean squared error suggestions are employed. The impact of multiple physical parameters on concentration, radial and tangential velocities, and temperature profiles is shown via tables and figures. Additionally, the results demonstrate that as the Forchheimer number, Casson nanofluid parameter, magnetic parameter, and porosity parameter are strengthened, the radial and rotational nanofluid mobility drops dramatically. The stretching parameter, on the other hand, has a parallel developmental trend. The heat generation parameter, the thermophoresis process, the thermal radiation parameter, and the Brownian motion of nanoparticles can all be increased to give thermal enhancement. On the other side, with larger estimates in thermophoresis parameters and the activation energy, there is a noticeable increase in the concentration profile.