Sisko Nanofluid Research Articles

Computation of soret effect in sisko nanofluid flow over a stretching sheet encompassing chemical reaction and viscous dissipation

This article examines the characteristics of mass and heat transfer in Sisko fluid flow. The consideration is given to continuous, two-dimensional movement of Sisko fluid exhibiting incompressible and viscous characteristics. The fluid flows over a stretching sheet encompassing chemical reaction and subjected to the soret effect and viscous dissipation. The arising set of interconnected PDEs is converted to nonlinear ODEs using similarity transformations. This study reveals that an increase in the Soret number induces an upward shift in the concentration profile across the flow region. Also, an increase in the Sisko fluid parameter gives rise in the skin-friction coefficient. Following the calculations, the results for the heat, mass transfer rate and skin-friction coefficient, are compiled and presented in a tabulated form. A systematic discussion of similarity solutions in comparison with established findings not only validates the accuracy of the numerical results but also underlines the reliability and robustness of the methodology applied in this study.

Exploring hybrid Sisko nanofluid on a stretching sheet: an improved cuckoo search-based machine learning approach

Exploring hybrid Sisko nanofluid on a stretching sheet: an improved cuckoo search-based machine learning approach

Impacts of Stefan Blowing on Thermophoretic Particle Deposition in Sisko Nanofluid Flow Over a Riga Plate with Soret and Dufour Effects

The proposed framework considers the thermosolutal Marangoni convective flow of Sisko [Formula: see text] nanofluid over a Riga surface with the effects of Stefan blowing and thermophoretic particle deposition. The phenomena of mass and heat are discussed in relation to Soret and Dufour impacts. Electrodes and magnets are arranged on a plate to make up the Riga plate. Since the fluid conducts electricity, the Lorentz force upsurges exponentially in the vertical direction. There are numerous possible uses for this study in different disciplines. The design and production of thin films, coatings, and nanostructured materials can be enhanced by knowledge of how nanoparticles settle onto surfaces under various fluid flow conditions. By optimizing fluid flow and particle deposition processes, engineering insights from this work can guide the development of more efficient heat transfer systems, such as heat exchangers and cooling technologies. The nonlinear governing PDEs are converted into nonlinear ODEs using appropriate transformations. The resultant system of highly nonlinear equations can be solved analytically by using the homotopy analysis method (HAM). The significance of factors on the flow, thermal, and concentration fields are thoroughly explained with the use of tables and figures. Higher Marangoni convection parameter in more effective heat and mass transport within the liquid as well as higher induced flows when the Marangoni convection parameter is increased. A more uniform distribution of these properties throughout the liquid is the result of decreasing temperature and concentration profiles.

A computational simulation for peristaltic flow of thermally radiative sisko nanofluid with viscous dissipation, double diffusion convection and induced magnetic field

The main objective of this framework is to formulate a model and carry out simulations on the thermally radiative biological fluid of Sisko nanofluid in the non-uniform channel under the combined effects of induced magnetic field and double diffusion convection. Additionally, the effect of viscous dissipation is also considered. The formulation and simplification of the governing equations for a non-Newtonian fluid with nanoparticles and double diffusion convection is done under the assumption of a long wavelength and low Reynolds number. The numerical solution of the proposed problem is calculated by utilizing built in commands in Matlab and Mathematica software’s. The equation solving is done in Mathematica using the integrated program NDSolve. The framework provides expressions for temperature, nanoparticle fraction, velocity, pressure rise, stream functions, pressure gradient, magnetic force function, and concentration. The impact of relevant parameters on various physical quantities is then analyzed through graphical representations, considering both non-Newtonian and viscous fluid behavior. The present analysis suggests that an increase in heat radiation may cause a drop in the temperature distribution strengthening the cooling effects. It is also found that as Brinkman number rise, buoyancy-driven flows have a greater impact on fluid motion. The concentration of nanoparticles may fluctuate and maybe decrease in specific locations in accordance with the dispersion and advection phenomena. Furthermore, this finding has important ramifications for the field of biomechanics too. Examples include comprehending chyme movements in the digestive system and the prospective use in operations to regulate blood flow by adjusting the magnetic field’s strength.

¬¬Chemical Reaction and Nonlinear Rosseland Approximation Effects On Double-Diffusive MHD Sisko Nanofluid Flow Over a Nonlinear Stretching Sheet in A Porous Medium with Concentration-Dependent Internal Heat Source

This study investigates the two-dimensional magnetohydrodynamics laminar flow of a Sisko nanofluid over a nonlinear stretching sheet in a porous medium, considering chemical reactions, nonlinear Rosseland approximation, and an internal heat source based on concentration. The governing boundary layer equations and associated boundary conditions are transformed into non-dimensional form using appropriate variables. The resulting non-dimensional equations are solved using the modified Adomian decomposition technique, implemented with the symbolic computing software MATHEMATICA. The influence of various parameters, including Prandtl number, thermophoresis parameter, Brownian motion parameter, chemical reaction parameter, Sisko fluid parameters, heat source parameter, radiation parameter, Darcy number, mass Grashof number, magnetic field, and Grashof number, on the flow fields of velocity, temperature, and nanoparticles volume fractions is depicted through graphical representations. The study reveals that the velocity profile is accelerated by the first value of the Sisko fluid parameter and Darcy number, but it diminishes in the presence of a magnetic field and the second Sisko fluid parameter. The temperature profile decreases with an increment in the Prandtl number, while it improves in proportion to increases in the heat source, thermophoresis, Brownian motion, and radiation parameters respectively. Additionally, an increase in the chemical reaction parameter leads to an increase in the concentration profile of the fluid.

HALL CURRENTS AND ION SLIP EFFECT ON SISKO NANOFLUID FLOW FEATURING CHEMICAL REACTION OVER POROUS MEDIUM-A STATISTICAL APPROACH

This paper focuses on the statistical analyzing of hall currents and the ion slip effect on Sisko nanofluid. The present analysis of the flow deals with chemical reaction, porous medium, and magnetohydrodynamic flow over a stretching sheet. Applications of the present study are found in predicting sheer rates, lubricating oil and greases, and making non-structured materials. Its industrial applications include reduction in oil-pipeline function, surfactant for comprehensive cooling and heating system and flow traces. The non-linear partial differential equations are converted into ordinary differential equations using convective boundary conditions by utilizing similarity transformations. The ordinary differential equation is solved numerically by applying the fifth order Runge-Kutta-Fehlberg scheme via shooting technique. The impact of various non-dimensional flow parameters on velocity, temperature, and concentration distributions are analyzed and exemplified graphically. The results compare favorably with previously published works. The statistical analysis indicates that the correlation coefficients of parameters <i>A, k, Nt</i>, and <i>Kc</i> are remarkable to the physical attributes. Results indicate that an increase in hall current and chemical reaction enhances the temperature and reduces the concentration profile.

Statistical analysis of Sisko Nanofluid with Hall and Ion Slip Effect over Porous Medium

Statistical analysis of Sisko Nanofluid with Hall and Ion Slip Effect over Porous Medium

Impact of Flow, Heat and Mass Transfer of Newtonian and Non-Newtonian Nanofluids Flow over a Non-Darcy Stretching Sheet in the Context of Fuel Applications

The study of flow, heat, and mass transfer of Newtonian and non-Newtonian nanofluid over porous media holds paramount significance in the context of fuel industries, contributing to enhanced efficiency, reduced emissions, and sustainable energy production. This investigation provides a concise overview of the critical role played by porous media in various aspects of the fuel sector. In the oil and gas industry, porous reservoir formations exhibit complex fluid dynamics characterized by non-Darcy flow, influencing recovery rates of hydrocarbons. Understanding the relationship between flow, heat, and mass transfer within these porous reservoirs is essential for reservoir engineers and fuels the quest for maximizing resource extraction. The Sisko nanofluid model is one of the most sought-after mathematical model which prophesies the interesting features of Newtonian and non-Newtonian (dilatant and Pseudoplastic nature) fluids. In contemporary years, a new class of non-Newtonian fluids with nanoparticle suspensions are gaining popularity as it is beneficial in enhancing thermal efficiency in several applications such as warming/cooling of home appliances and micro-electronics etc. However, the modeling on this class of non-Newtonian fluids is limited. In light of above, this work predicts the stream, heat and mass transmission behavior of nanofluids using Sisko fluid model. Stretching sheet with porous medium has been used for this study with addition with magnetic field, thermal radiation, Brownian motion and thermophoresis. The non-linearity issues in this fluid flow are addressed in the prevailing work using suitable similarity transformations. The non-linear dimensional coupled P.D.E are converted into nonlinear dimensionless coupled O.D.E. These equations are solved using MATLAB by implementing four-stage Lobatto IIIa formula. The impacts of copious physical parameters of flow, energy and mass transfer insights are discussed. From the outcomes of current work, it is perceived that increasing the perviousness of the porous medium reduces the fluid mobility. Further, for increased values of Prandtl number the heat transfer coefficient increases ensuing in more heat transfer. Flow, heat, and mass transfer over porous media are integral to fuel industries, influencing resource extraction, energy conversion, and product quality

Numerical study for bioconvection peristaltic flow of Sisko nanofluid with Joule heating and thermal radiation

Present work describes the peristaltic flow of Sisko nanomaterial with bioconvection and gyrotactic microorganisms. Slip conditions are incorporated through elastic channel walls. Additionally, we considered the aspects of thermal radiation and viscous dissipation. Further ohmic heating features are also present in the thermal field. Buongiorno's nanofluid model comprising thermophoresis and Brownian movement is taken. The lubrication approach is utilized for the simplification of the problem. Being highly coupled and nonlinear, the resulting system of equations must be solved numerically using the NDSolve technique and bvp4c via Matlab. Velocity, concentration, thermal field and motile microorganisms. are addressed graphically.

Sisko nanofluid flow through exponential stretching sheet with swimming of motile gyrotactic microorganisms: An application to nanoengineering

Abstract The swimming of motile gyrotactic microorganism’s phenomenon has recently become one of the most important topics in research due to its applicability in biotechnology, many biological systems, and numerous engineering fields. The gyrotactic microorganisms improve the stability of the nanofluids and enhance the mass/heat transmission. This research investigates the MHD fluid flow of a dissipative Sisko nanofluid containing microorganisms moving along an exponentially stretched sheet in the current framework. The mathematical model comprises equations that encompass the preservation of mass, momentum, energy, nanoparticle concentration, and microorganisms. The equations that govern are more complicated because of nonlinearity, and therefore to obtain the combination of ordinary differential equations, similarity transformations are utilized. The numerical results for the converted mathematical model are carried out with the help of the bvp4c solver. The resulting findings are compared to other studies that have already been published, and a high level of precision is found. The graphical explanations for velocity, temperature, and nanoparticles volume fraction distribution are shown with physical importance. Physical characteristics like Peclet number, Sisko fluid parameter, thermophoresis and Brownian motion parameter, and Hartmann number are taken into consideration for their effects. Based on the numerical outcomes, the bioconvection Peclet number enhances the density of mobile microorganisms, whereas thermal radiation contributes to an elevation in temperature. The velocity field decreases with the enhancement of magnetic parameter; however, the temperature field increases with increased magnetic parameter and thermophoresis parameter augmentation. Our numerical findings are ground breaking and distinctive, and they are used in microfluidic devices including micro instruments, sleeve electrodes, and nerve development electrodes. This study has various applications in nanoengineering, including nanomaterial synthesis, drug delivery systems, bioengineering, nanoscale heat transfer, environmental engineering.

Magnetized Sisko nanofluid flow over nonlinear stretching sheet: A computational approach

The present article aims to explore the effect of Lorentz force on the heat transfer rate of Sisko nanofluid flowing over a nonlinearly stretching surface. The nonlinear flow governing partial differential equations is transformed into nonlinear ordinary differential equations using the appropriate similarity variables. The transformed differential equations are quasi-linearized and solved numerically using the implicit finite difference method. Further, an analytical solution is derived for different special cases, and a comparative study of the analytical solution of the skin friction coefficient has been done with the numerical solution to validate the accuracy of the numerical computation. The impact of pertinent flow-governing parameters on quantities of engineering interest has been discussed in detail through graphs and tables. The results are compared for both shear thickening and thinning of Sisko nanofluid. The results reveal that the Lorentz force enhances the temperature and the thermal boundary layer thickness and reduces the heat transfer rate. Further use of Sisko-based nanofluid is recommended to enhance the industrial cooling process.

Entropy analysis of a Sisko nanofluid on a stretching sheet under the Hall effect

The novelty of this paper is examining the impacts of Hall currents on Sisko nanofluid slip flow generated by an exponentially stretching sheet in the existence of entropy generation. Entropy generation assessment, Brownian, thermophoresis and Bejan numbers during convection flow are explored in the presence of the Hall effect. The pertinent parameters are Hall parameter m, a magnetic field parameter M, Brownian motion parameter [Formula: see text], thermophoresis parameter [Formula: see text], generalized thermal Biot number [Formula: see text], generalized velocity slip parameter [Formula: see text] and material parameter of Sisko fluid A. The changes in pertinent parameters on principal and secondary velocities, entropy generation and temperature are discussed. The coefficients of local skin friction, Brownian, thermophoresis and Nusselt/Sherwood numbers are expressed in a tabular structure. Two different kinds of power-law nanofluid, Pseudoplastic [Formula: see text] and dilatant fluid [Formula: see text] are considered. The current results exposed that growth in magnetic field parameter diminishes the nanofluid axial velocity and boosts the profiles of temperature, secondary nanofluid velocity and nanoparticle volume fraction. The coefficients of local skin friction are enhanced according to a growth in the magnetic field factor. The Pseudoplastic fluid supports the velocity, temperature and nanoparticle volume fraction profiles compared to the dilatant fluid. The local entropy generation number, Bejan number, local skin friction coefficients and local Nusselt/Sherwood numbers are influenced by the pertinent parameters.

Double-diffusive peristaltic MHD Sisko nanofluid flow through a porous medium in presence of non-linear thermal radiation, heat generation/absorption, and Joule heating

This article studied a numerical estimation of the double-diffusive peristaltic flow of a non-Newtonian Sisko nanofluid through a porous medium inside a horizontal symmetric flexible channel under the impact of Joule heating, nonlinear thermal radiation, viscous dissipation, and heat generation/absorption in presence of heat and mass convection, considering effects of the Brownian motion and the thermophoresis coefficients. On the other hand, the long wave approximation was used to transform the nonlinear system of partial differential equations into a nonlinear system of ordinary differential equations which were later solved numerically using the fourth-order Runge–Kutta method with shooting technique using MATLAB package program code. The effects of all physical parameters resulting from this study on the distributions of velocity, temperature, solutal concentration, and nanoparticles volume fraction inside the fluid were studied in addition to a study of the pressure gradients using the 2D and 3D graphs that were made for studying the impact of some parameters on the behavior of the streamlines graphically within the channel with a mention of their physical meaning. Finally, some of the results of this study showed that the effect of Darcy number Da and the magnetic field parameter M is opposite to the effect of the rotation parameter Omega on the velocity distribution whereas, the two parameters nonlinear thermal radiation R and the ratio temperature {theta }_{w} works on a decrease in the temperature distribution and an increase in both the solutal concentration distribution, and the nanoparticle's volume fraction. Finally, the impact of the rotation parameter Omega on the distribution of pressure gradients was positive, but the effect of both Darcy number Da and the magnetic field parameter M on the same distribution was negative. The results obtained have been compared with the previous results obtained that agreement if the new parameters were neglected and indicate the phenomenon's importance in diverse fields.

CONSTRUCTION OF NEURAL NETWORK BASED INTELLIGENT COMPUTING FOR TREATMENT OF DARCY-FORCHHEIMER SISKO NANOFLUID FLOW WITH ROSSELAND'S RADIATIVE PROCESS

A generalization of Newtonian and power-law fluids is the Sisko model. It foretells dilatants and fluid pseudoplasticity. It was first suggested to use the Sisko fluid model to gauge high shear rates in lubricating greases. Three constants in this model are easily selectable for certain fluids, and it is demonstrated that the model is a good predictor of shear thickening and thinning. The study of nanofluids is gaining popularity quickly because of unique thermal, mechanical, and chemical characteristics of nanomaterials. Sisko nanofluids are also required for the production of nanoscale materials because of the superb wetting and dispersing capabilities they possess. In the present investigation, the Levenberg-Marquardt method with backpropagated neural networks is used to evaluate the nanomaterial flow of Darcy-Forchheimer Sisko fluid model. Thermophoresis and Brownian motion effects are considered when developing the nanofluid model. By applying the necessary transformations, the original nonlinear coupled partial differential system representing fluidic model are converted to an analogous nonlinear ordinary differential system. For different fluid model scenarios, a dataset for the proposed multilayer perceptron artificial neural network is produced by altering the necessary variables via the Galerkin weighted residual approach. An artificial neural network called a multilayer perceptron has been created in order to forecast the multilayer perceptron values.

Dual Solution of Sisko Nanofluid Flow with Gyrotactic Microorganisms Over Stretching/Shrinking Sheet in Non-Darcy Porous Medium

The objective of this paper is to determine the dual solution of bioconvection Sisko nanofluid flow comprising gyrotactic micro-organism enclosed in a porous medium. The flow analysis is incorporated with the presence of Darcy–Forchhemier inertia effect, chemical reaction and magnetohydrodynamic flow over a non-linear stretching sheet. With regard to these assumptions the regulating non-linear partial differential equations for the fluid flow are drafted and turned into ordinary differential equations by means of relevant similarity transformation. Fifth order Runge–Kutta Felhberg method with shooting technique is applied to obtain numerical solution of the transformed ordinary differential equations. Graphs are sketched out to observe and interpret variation in velocity, temperature, nanoparticles concentration and density of micro-organism profiles for respective determining factors. Comparison of the obtained results for local Nusselt number with Prandtl number reveals commendable agreement with earlier reported results. Bioconvection Lewis number, Prandtl number, Peclet number and microorganism difference parameter for escalating values discloses a declining behaviour of motile micro-organism density distribution.

Numerical Investigation of Irreversibility in Bioconvective Flow of Sisko Nanofluid with Arrhenius Energy

This paper investigates modeling and analysis of entropy generation in bioconvective non-radiative Sisko nanofluid flow by stretchable cylinder. Momentum relation is modeled in view of Darcy Forchheimer and porosity effects. Dissipation, Joule heating and heat generation impacts are accounted in energy relation. Mass concertation communication is constructed in manifestation of Arrhenius energy and chemical reaction. Brownian dispersion and thermophoretic effects of solid nanoparticles in Sisko liquid are stabilized by self-propelled gyrotactic microorganisms. The flow governing model is obtained utilizing boundary layer concepts. Fluid transport equations are made dimensionless via transformations and then tackled by NDSolve code in Mathematica package. Variation in transport properties versus effective parameters is examined via graphs and tables. It is perceived from obtained results that Sisko nanofluid velocity decays versus higher curvature parameter, Hartman number, porosity and Forchheimer variable. Further, it is observed that temperature distribution enhances for heat generation variable, Eckert number, Brownian movement variable, thermophoresis motion parameter and Prandtl number. Main observations are listed in the end.

Nonsimilar analysis of magnetized Sisko nanofluid flow subjected to heat generation/absorption and viscous dissipation

This research explores the nonsimilar magnetohydrodynamic (MHD) boundary-layer (BL) Sisko nanofluid flow over a vertically placed sheet under the impacts of heat generation/absorption and viscous dissipation. The flow is propagated under vertical stretching of the sheet and utilizing natural forces. Flow problem is formulated by employing governing relations and equations are transformed into dimensionless form through the nonsimilar methodology. This dimensionless partial differential system is simulated computationally by using the analytical local nonsimilarity method (LNM) via numerical finite difference based built-in Matlab algorithm bvp4c. Impacts of the effective dimensionless emerging parameters on convective transport analysis are examined. Furthermore, the correlations of drag coefficient, local Nusselt, and Sherwood numbers for significant parameters have been developed. It is noted that the material parameter augments the nanofluid velocity, temperature, and concentration field. The higher the magnetic field drops the fluid velocity however the thermal and concentration profiles increase. The greater estimations of the thermophoresis parameter have a rising impact on the concentration profile, while the higher Lewis number and Prandtl number have an inverse response against the concentration profile. Most of the real-world boundary layer flow problems are nonsimilar, which is an innovative point of this article. So, here we discussed the nonsimilar analysis for the considered problem. According to the author's observations, the declaration of non-similar analysis for the problem under consideration hasn't yet been analyzed in published literature.

Electromagnetic mixed convective flow and melting heat process of Sisko nanomaterial through non-linear expanding surface with thick dissemination and convective constrains: thermal case investigatory

This work explores the possessions of a condensed Sisko nanofluid’s MHD limit layer stream above a non-direct extended sheet, including the impact of liquefying heat move, synthetic response, thick dissemination, slip, and convective limit situation. Employing the shooting routine in conjunction with the Runge–Kutta-Fehlberg process, the intermediate differential conditions and limit circumstances that are administered are changed into a non-straight standard differential conditions procedure. The outcomes presume that the mass exchange rates increment, though heat move rates decline with thick dispersal for non-Newtonian liquids. Notwithstanding, the hotness move rates support radiation and dissolving boundaries.

Spectral quasilinearization method for Sisko nanofluid past a stretching cylinder with activation energy and entropy generation effects subject to variable thermal conductivity

AbstractThis article focuses on how activation energy and entropy generation affect the parameters involved in Sisko nanofluid with the presence of a stretching cylinder. Spectral quasilinearization method is applied to solve the ordinary differential equations representing the flow equations to have a highly accurate solution. Furthermore, all the parameters involved are graphically analyzed to see the behavior of velocity, temperature, and concentration behavior under different circumstances. With the increment of heat generation parameter, Sisko nanofluid shows an increasing nature in concentration unlike base fluids. Thermophoresis and Brownian motion effects are observed to be different than usual, especially in nearby wall zones due to activation energy and entropy terms being introduced on a stretching cylinder medium.

Homogeneous–Heterogeneous Reactions Within Magnetic Sisko Nanofluid Flow Through Stretching Sheet Due to Convective Conditions Using Buongiorno’s Model

The flow due to stretching sheet has key role in many engineering fields such as making rubber sheets and plastic, wire drawing, glass-fiber manufacture and hot rolling etc. The Sisko fluid has its significant role in drilling fluids, blood, cement slurry, liquid polymers, paint and mud, synovial fluid and water-borne coating. Here, we examined the magnetic Sisko fluid flow via stretching sheet with convective conditions using Buongiorno’s model and flow problem occurring due to homogeneous–heterogeneous reactions. Influence of pertinent flow parameters viz. magnetic field, material index, Brownian motion parameter, thermophoresis parameter, Brownian diffusivity, Lewis number, ratio of diffusion coefficient, strength of homogeneous reaction, strength of heterogeneous reaction and Biot number are revealed by graphs for both shear thinning (n < 1) and shear thickening (n > 1) cases. The existing model has considered the case of unequal diffusion coefficients of chemical species. Hence, accounting the interaction of both homogeneous–heterogeneous reactions. One of the important outcomes of this work is concentration of auto-catalyst of Sisko fluid decreased due to rise in material index parameter.