Schmidt Number Research Articles

Axial Concentration of Dissolved Deuterium by Dispersion in a LiPb Experimental Loop

The axial concentration of deuterium by dispersion in a circulating liquid lithium-lead (LiPb) loop was analyzed and experimentally verified. In previous fusion blanket studies, the tritium transport rate in flowing LiPb was treated by convection a priori; i.e., the dispersion effect was negligible. In contrast, Taylor dispersion theory shows conflicting results, exhibiting axial transport enhancement via convective flow. In the current paper, the experimental setup consists of a deuterium dissolving tube that substitutes for tritium breeding and a deuterium concentration monitor by LiPb droplets in a vacuum with four nozzles of ϕ = 1.0 mm. The released deuterium mass flux from the droplets was measured using a quadrupole mass spectrometer. An electromagnetic pump circulated 49 L of LiPb at 350°C at a rate between 0.15 and 0.3 L∙min–1 with the corresponding Re number between 600 and 1000, i.e., in the laminar flow range. The dispersion coefficient was analyzed by measuring the temporal distortion of the deuterium concentration profile. The obtained axial dispersion coefficients of dissolved deuterium in LiPb were between 4.6 × 10–2 and 1.2 × 10–1 (m2∙s–1) and approximately seven orders of magnitude greater than those under static conditions. The results agreed with the Taylor dispersion theory, which studied the mass transport enhancement by convection. The applicability of Taylor’s theory to the deuterium flow in liquid LiPb is suggested, whereas the Prandtl number was three orders of magnitude lower and the Schmidt number was one order of magnitude higher than that of the water.

Activation energy with binary chemical reaction of convective radiative magnetized nanofluid flow with viscous dissipation and pressure gradient

ABSTRACT The present investigation deals with the study of activation energy with the binary chemical reaction on magnetohydrodynamic convective radiative heat and mass transfer of nanofluid flow with internal heat source/sink, viscous dissipation, pressure gradient force, and suction effects. The basic equations of conservation of momentum, energy, and mass diffusion are brought to a set of ordinary differential equations (nonlinear) using suitable similarity transformations, and these are then solved using the Homotopy Perturbation Method (HPM). The validity of the present results is established by comparing them with those obtained by the Runge-Kutta-Fehlberg method (RKFM). The results reveal that the temperature distribution increases with raising the value of the thermal radiation parameter. It is found that the concentration distribution increases by increasing the values of the activation energy parameter. In contrast, the reverse effect is observed by enhancing the chemical reaction parameter, Schmidt number, and pressure gradient parameter. Further, the skin-friction coefficient and Nusselt number decrement by enhancing the value of the Hartmann number, whereas the reverse trend is found by enhancing the pressure gradient and suction parameter values. Also, the Sherwood number retards with an enhancement in the Hartmann number, whereas it rises by increasing the pressure gradient and suction parameters.

Heat generation and melting heat transfer effects on MHD flow of Carreau fluid in a porous medium

AbstractWe consider heat and mass transfer analysis of magnetohydrodynamic (MHD) Carreau fluid flow along a stretching sheet in a permeable medium with impacts of melting condition, heat generation, double diffusion, and variable thermal conductivity. The novelty of the present work is to study the effects of melting heat transfer and heat generation on MHD flow of Carreau fluid along a stretched sheet in a porous medium with influence of Dufour and Soret effects, and variable thermal conductivity. Similarity transformations procedure is used which transform the partial differential equations (PDEs) of fluid flow model into nonlinear dimensionless ordinary differential equations (ODEs). We obtained numerical solutions of ODEs and the effects of assorted governing parameters are investigated. The results showed that boosting melting parameter increases velocity and concentration fields and reduces temperature profile. Enhancing heat source parameter increases temperature profile, concentration profile observing decline for modified Dufour parameter, Schmidt number, and Soret number, and velocity of the fluid decline for magnetic and porosity parameters. Impact of governing parameters on physical quantities comprising Nusselt number, skin friction, and Sherwood number is evaluated numerically. The accuracy of our results are established in comparison with previous research for skin friction coefficient and Nusselt number.

Irreversibility scrutiny of chemically reactive Powell–Eyring liquid flow in a microchannel with Buongiorno model: a hybrid nanoparticles aspect

Hybrid nanoliquids are a miscellany inventive magnificence of nanoliquid that have been used in the province of thermal transfer such as microfluidics, protection, naval, and acoustics. Hence the main theme of the current work is to elucidate the mass and thermal behaviour of Powell-Eyring fluid flowing through an upright microchannel along with irreversibility analysis and to scrutinize the outcome of non-linear thermal radiation. The ethylene glycol and water are the base fluid with Fe3O4 − Ag nanoparticles have been considered. Chemical reactions and buoyant forces are deliberated in the study. Brownian motion, thermal dependent heat source, and thermophoresis impact were considered. Convective and slip conditions are taken at the boundaries of the channel. The governing equations were solved numerically by using Runge-Kutta Fehlberg’s fourth-fifth order. The exploration of this study upholds the amplification of solutal the Grashof number amplifying the velocity field. A significant decrement was noticed in entropy with an inflated Powell-Eyring-fluid parameter. The concentration field of the fluid flow is enhanced with the improved Schmidt number. The outturn therein established that the rate of thermal transfer in Fe3O4 −Ag/EG based hybrid nanoliquid is more remarkable when compared to Fe3O4 −Ag/water based hybrid nanoliquid.

Effect of Chemical Reaction and Variable Thermal Conductivity in MHD Williamson Nanofluid Flow with Gyrotactic Microorganisms

The primary objective of this study deals with numerical analysis of gyrotactic microorganisms in Williamson nanofluids under the influence of chemical reaction and variable thermal conductivity along with porous medium. Using the similarity transformations, the non-linear PDEs are transformed into ODEs. RK-Fehlberg with a shooting strategy utilised to address ODEs with the influence of MATLAB software. Effect of Permeability, Prandtl number, magnetic field, Williamson parameter, Schmidt number, Peclet number, the profiles of velocity, temperature, concentration, and motile microbe density are explored in detail, and the potential results are displayed in graphs. The density number, Nusselt number, skin friction coefficient, and Sherwood number displayed in tables.

Significance of Variability in Liquid Properties on 3D MHD Maxwell Nanofluid Flows Over a Stretching Surface with Heat Generation/Absorption and Chemical Reaction

Objective of the current research investigation is linked with advancement in nanotechnology and fluids flow phenomena subject to various fluid models. The model adopted over here is Maxwell–nanofluid model subject to magnetohydrodynamics impact confined within the dimensions of a bi-directional stretching surface. The boundary is assumed to be convective in the context of thermal state and zero mass flux in the context of nanoparticles. Furthermore, slip condition on velocity and a source of heat generation/absorption is also considered in the flow model. It is pertinent to mention that base fluid is assumed to be chemically reactive by involving first order chemical reaction term in the governing equation of concentration of nanoparticles. So formulated, highly nonlinear set of governing equations is converted into nonlinear ODEs involving various parameters including Brownian diffusion, Deborah number, magnetic parameter, Prandtl and Schmidt number, heat generation/absorption and the first order chemical reaction. The ODEs are solved by a semi-analytic technique of OHAM (Optimal Homotopy Analysis Method). The results are plotted graphically. The obtained findings are compared without available literature in the same direction by assuming special cases on various parameters.

A reduction of the separability problem to SPC states in the filter normal form

It was recently suggested that a solution to the separability problem for states that remain positive under partial transpose composed with realignment (the so-called symmetric with positive coefficients states or simply SPC states) could shed light on entanglement in general. Here we show that such a solution would solve the problem completely.Given a state in $ \mathcal{M}_k\otimes\mathcal{M}_m$, we build a SPC state in $ \mathcal{M}_{k+m}\otimes\mathcal{M}_{k+m}$ with the same Schmidt number. It is known that this type of state can be put in the filter normal form retaining its type. A solution to the separability problem in $\mathcal{M}_k\otimes\mathcal{M}_m$ could be obtained by solving the same problem for SPC states in the filter normal form within $\mathcal{M}_{k+m}\otimes\mathcal{M}_{k+m}$. This SPC state can be built arbitrarily close to the orthogonal projection on the symmetric subspace of $ C^{k+m}\otimes C^{k+m}$. All the information required to understand entanglement in $ \mathcal{M}_s\otimes\mathcal{M}_t$ $(s+t\leq k+m)$ lies inside an arbitrarily small ball around that projection. We also show that the Schmidt number of any state $\gamma\in\mathcal{M}_n\otimes\mathcal{M}_n$ which commutes with the flip operator and lies inside a small ball around that projection cannot exceed $\lfloor\frac{n}{2}\rfloor$.

Bounding entanglement dimensionality from the covariance matrix

High-dimensional entanglement has been identified as an important resource in quantum information processing, and also as a main obstacle for simulating quantum systems. Its certification is often difficult, and most widely used methods for experiments are based on fidelity measurements with respect to highly entangled states. Here, instead, we consider covariances of collective observables, as in the well-known Covariance Matrix Criterion (CMC) \cite{guhnecova} and present a generalization of the CMC for determining the Schmidt number of a bipartite system. This is potentially particularly advantageous in many-body systems, such as cold atoms, where the set of practical measurements is very limited and only variances of collective operators can typically be estimated. To show the practical relevance of our results, we derive simpler Schmidt-number criteria that require similar information as the fidelity-based witnesses, yet can detect a wider set of states. We also consider paradigmatic criteria based on spin covariances, which would be very helpful for experimental detection of high-dimensional entanglement in cold atom systems. We conclude by discussing the applicability of our results to a multiparticle ensemble and some open questions for future work.

Simulations of CO2 Dissolution in Porous Media Using the Volume-of-Fluid Method

Traditional investigations of fluid flow in porous media often rely on a continuum approach, but this method has limitations as it does not account for microscale details. However, recent progress in imaging technology allows us to visualize structures within the porous medium directly. This capability provides a means to confirm and validate continuum relationships. In this study, we present a detailed analysis of the dissolution trapping dynamics that take place when supercritical CO2 (scCO2) is injected into a heterogeneous porous medium saturated with brine. We present simulations based on the volume-of-fluid (VOF) method to model the combined behavior of two-phase fluid flow and mass transfer at the pore scale. These simulations are designed to capture the dynamic dissolution of scCO2 in a brine solution. Based on our simulation results, we have revised the Sherwood correlations: We expanded the correlation between Sherwood and Peclet numbers, revealing how the mobility ratio affects the equation. The expanded correlation gave improved correlations built on the underlying displacement patterns at different mobility ratios. Further, we analyzed the relationship between the Sherwood number, which is based on the Reynolds number, and the Schmidt number. Our regression on free parameters yielded constants similar to those previously reported. Our mass transfer model was compared to experimental models in the literature, showing good agreement for interfacial mass transfer of CO2 into water. The results of this study provide new perspectives on the application of non-dimensional numbers in large-scale (field-scale) applications, with implications for continuum scale modeling, e.g., in the field of geological storage of CO2 in saline aquifers.

Irreversibility analysis of radiative Williamson nanofluid flow with higher order chemical reaction and quadratic drag force over an extended surface: Non-similar computations

This study aims to present non-similar solutions for the radiative Williamson nanofluid flow with a quadratic drag force effect over a horizontally extended surface. The sheet is extended along the X-axis, and the magnetic field is applied along the Y-axis, perpendicular to the flow. The Buongiorno nanofluid model is employed to incorporate the random dispersion and thermal characteristics of the nanofluid. The innovation in the proposed model lies in its consideration of the effects of viscous and ohmic dissipation, Robin boundary conditions, and higher-order chemical reactions. The governing equations for the flow are scaled down to the second level using an appropriate transformation combined with a non-similarity technique and computationally assessed using the MATLAB bvp4c algorithm. The significant influences of the dimensionless parameters on the velocity, thermal, and solutal fields are depicted graphically. The findings reveal that the fluid velocity diminishes with increasing Weissenberg and Hartmann numbers. The solutal field experiences a reduction with variations in the chemical reaction parameter, while it rises with an increase in the higher-order chemical reaction parameter. The wall heat transfer rate is augmented with higher Eckert and thermal Biot numbers. The mass transfer rate rises with higher values of the chemical reaction parameter, Schmidt number, and solutal Biot number. A comparison of the results from this study with previous research demonstrates strong agreement, affirming the validity of the proposed model. For the value of the Williamson parameter [Formula: see text], the percentage error of the present analysis with established studies is 0% and 0.096770%.

Electroosmotic MHD ternary hybrid Jeffery nanofluid flow through a ciliated vertical channel with gyrotactic microorganisms: Entropy generation optimization

In this study, the computational analysis of entropy generation optimization for synthetic cilia regulated ternary hybrid Jeffery nanofluid (Ag–Au–TiO2/PVA) flow through a peristaltic vertical channel with swimming motile Gyrotactic microorganisms is investigated. Understanding the intricate interaction of multiple physical phenomena in biomedical applications is essential for optimizing entropy generation and advancing microfluidic systems. The characteristics of nanofluid are explored for the electroosmotic MHD fluid flow in the presence of thermophoresis and Brownian motion, viscous dissipation, Ohmic heating and chemical reaction. Using the appropriate transformations, a set of ordinary differential equations are created from the governing partial differential equations. The resulting ODEs are numerically solved using the shooting technique using BVP5C in MATLAB after applying the long-wavelength and low Reynolds number approximation. The velocity, temperature, concentration, electroosmosis, and microorganism density profiles are analyzed graphically for different emerging parameters. Graphical investigation of engineering interest quantities like heat transfer rate, mass transfer rate, skin friction coefficient, and entropy generation optimization are also presented. It is observed that the rate of mass transfer increases for increasing thermophoretic parameter, while reverse effect is noted for Brownian motion parameter, Schmidt number, and chemical reaction number. The outcomes of present study can be pertinent in studying Cilia properties of respiratory tract, reproductive system, and brain ventricles.

Prediction of the aggregation rate of nanoparticles in porous media in the diffusion-controlled regime.

The fate and aggregation of nanoparticles (NPs) in the subsurface are important due to potentially harmful impacts on the environment and human health. This study aims to investigate the effects of flow velocity, particle size, and particle concentration on the aggregation rate of NPs in a diffusion-limited regime and build an equation to predict the aggregation rate when NPs move in the pore space between randomly packed spheres (including mono-disperse, bi-disperse, and tri-disperse spheres). The flow of 0.2M potassium chloride (KCl) through the random sphere packings was simulated by the lattice Boltzmann method (LBM). The movement and aggregation of cerium oxide (CeO2) particles were then examined by using a Lagrangian particle tracking method based on a force balance approach. This method relied on Newton's second law of motion and took the interaction forces among particles into account. The aggregation rate of NPs was found to depend linearly on time, and the slope of the line was a power function of the particle concentration, the Reynolds (Re) and Schmidt (Sc) numbers. The exponent for the Sc number was triple that of the Re number, which was evidence that the random movement of NPs has a much stronger effect on the rate of diffusion-controlled aggregation than the convection.

Adaptation of nanofluids with magnetohydrodynamic Williamson fluid to enhance the thermal and solutal flow analysis with viscous dissipation: A numerical study

The Williamson nanofluid flow along with the thermal and solutal transport effects like enthalpy and viscous dissipation, has lots of applications in numerous engineering fields such as heat exchangers, automotive engineering, cooling systems, aerospace, and biomedical applications. The temperature-dependent viscosity has implications in the polymer processing, chemical processing, microfluidic devices, environmental fluid dynamics, and oil and gas industries. The current research deals with the numerical study of the magnetohydrodynamic flow of 2-dimensional Williamson nanofluid flowing on a stretched cylinder. The thermophysical property (viscosity) is assumed to depend on temperature for this flow system. The transmission analysis of solutal and heat processes, along with enthalpy and viscous dissipation, is also considered here. The boundary layer approach is used to address the main leading equations, and ODEs are generated from the main equations by assuming similarity transformations. The main novelty of this problem is the use of a multistep technique, which is the Adams-Bashforth Predictor and Corrector method, along with the RK-4 scheme and the secant method. The key parameters are used to illustrate the graphical and numerical behavior of the velocity, temperature, and concentration regions. The variations in the Williamson fluid coefficient cause the fluid velocity to increase, whereas alterations in the curvature parameter cause the velocity region to decrease. The temperature in a given area declines due to the impact of the Prandtl number. The fluids temperature shows augmented values in the occurrence of variation in the thermopherosis coefficient, Brownian motion coefficient, curvature parameter, and heat generation parameter. The curvature parameter, thermopherosis coefficient, and activation energy lead to an increase in the fluid concentration region, whereas a decrease in concentration is noted due to the Brownian motion coefficient, Damkholer number and Schmidt number.

Electrohydrodynamic peristaltic microfluidic flow with thermal and molecular analysis featuring sloped configurations

This study examines the simultaneous impacts of thermal and molecular transfer of non-Newtonian fluid propelled by the collective impact of electroosmosis and peristaltic pumping via inclined channel. Internal frictional heating and heat generation are also taken into consideration. The electrohydrodynamic phenomenon is described by the nonlinear Poisson–Boltzmann equation. The problem is modulated mathematically through a system of coupled non-linear differential equations in wave frame of reference. Using the regular perturbation method around a small wave number δ, we obtain sequential solutions for stream function ψ, electric potential ϕ, velocity u, pressure gradient dpdx, temperature θ and concentration Ω distributions. The influences of newly arising parameters such as the electroosmotic parameter me, relaxation time parameter λ1, retardation time parameter λ2, wave number δ, Reynold’s number Re, heat generation parameter β, Prandtl number Pr, Schmidt number Sc, Froude number Fr and Soret number Sr on physical characteristics are analyzed graphically. There is an inverse correlation between the parameters of relaxation time and retardation time and their effects on axial velocity, concentration, and temperature distributions. In particular, the temperature of the fluid increases as the EDL parameter, relaxation time parameter, viscous dissipation parameter, and Reynolds number increase, but decreases as the retardation time parameter increases. Moreover, the axial pressure gradient increases as Reynolds number and inclination angle increase, while it decreases as Froude number increases. The current model has applicability in the chemical industry, reservoir engineering, micro-fabrication, and biomedical applications, where electroosmotic effects on heat and mass movement are crucial.

Heat and mass exchanger analysis for Ree-Eyring hybrid nanofluid through a stretching sheet utilizing the homotopy perturbation method

An investigation is being carried out to describe the flow of a Ree-Eyring hybrid nanofluid by a stretch flow. SiO2 and GO are being examined for use as hybrid nanoparticles in the accumulation with carboxymethyl cellulose (CMC) water at low concentrations. A concentration of between 0.0 and 0.4 % is suggested for use as a base fluid (CMC− water). The model equations are firstly converted into ordinary differential equations through suitable alteration. The Homotopy Perturbation Method (HPM) and R–K method were applied to governing (ODEs). The produced results were identified by the R–K numerical technique. Both of these methods of approval demonstrate that our approach achieves an acceptable level of accuracy. The obtained results are numerical data for the behaviours of the velocity, temperature, and concentration of nanoparticles about other physical factors. Multiple graphs illustrating the conclusions of physical significance are shown and thoroughly analyzed. The most important findings from this research show that the stretching sheet has a role in determining the depth of the boundary layer. By raising the Weissenberg number, the thickness of the boundary layer will be enhanced, which will lead to an augmentation in the velocity of the non-Newtonian fluid. Moreover, the Prandtl number was a second crucial variable that was explored, it follows that enhancing the Prandtl number effect in a lessening in the thermal layer. The last parameter was the Schmidt number, and increasing in Schmidt number caused a significant reduction in the mass of the fluid.

HARK formulation for entropy optimized convective flow beyond constant thermophysical properties

Background and objectiveOhmic heating has a pivotal role in food processing industry. For example, Ohmic heating in chocolate industry for cocoa beans shell is significant substrate for bioactive compounds recovery sustainability. In addition, the Soret and Dufour effects have importance in chemical and petroleum processes involving separation treatments, convective movements in lakes and solar ponds, solidification, humidity migration in building, drying processes, crystal growth and many others. In view of such applications here we discuss the hydromagnetic mixed convection flow with variable thermophysical properties. Formulation for Reiner-Rivlin material is made. Entropy generation in presence of dissipation, magnetohydrodynamics and radiation are discussed. Thermal relation consists of heat generation and dissipation. Soret and Dufour outcomes are under consideration. Ohmic heating is attended. Binary chemical reactive flow has been accounted. Convective conditions are implemented. MethodologyBy utilization of appropriate variables, we get the ordinary differential equations. ND-solve method is implemented to provide computations. ResultsEvaluation of different variables for flow, concentration, entropy rate and temperature are studied. Analysis of surface drag force and solutal and thermal transport rates via influential variables are examined. An augmentation in velocity is noted for variable viscosity and material parameters. Reverse effect holds for thermal field and flow with variation in magnetic variable. An intensification in thermal distribution and entropy is found through radiation and thermal Biot number. A reverse impact is observed for concentration through Schmidt and Soret numbers. Higher variable mass diffusivity parameter correspond to improves concentration and entropy rate. Brinkman number has increasing trend for entropy rate.

Analytical studies on effects of wind on dispersion of hydrogen leaked in a partially open space

ABSTRACT In order to elucidate ventilation and exhaust of hydrogen (H2) leaked in a partially open space (room) practically, the effects of outer wind (forced external flow) on them were studied analytically by using a CFD (computational fluid dynamics) code in the room of experimental ‘Half-size Hallway model (1/2 Hallway model),’ which has a H2 release hole on the bottom, one vent on the roof (Roof vent) and another vent on the side (Door vent): external air flowed in the room from the Door vent and then H2 was discharged outside from the Roof vent. The H2 concentration distribution in the room was divided into two layers at the height of Door vent, with a high concentration layer above it and a low concentration layer below it, forming a stratified interface. When the wind speed blown into the room increased, the combination of the Realizable k-ε turbulence model and the turbulence Schmidt number of 1.0 improved the reproducibility of the analysis results of H2 concentration distribution. The trial analysis suggested that the concern that wind would increase the indoor H2 concentration could be reduced by using the plate with a simple structure in which two plates were crossed on the Roof vent.

Lagrangian investigation of the correlation of helicity with coherent flow characteristics for turbulent transport

The correlation between helicity and turbulent transport in turbulent flows is probed with the use of direct numerical simulation and Lagrangian scalar tracking. Channel flow and plane Couette flow at friction Reynolds number 300 and Lagrangian data along the trajectories of fluid particles and passive particles with Schmidt numbers 0.7 and 6 are used. The goal is to identify characteristics of the flow that enhance turbulent transport from the wall, and how flow regions that exhibit these characteristics are related to helicity. The relationship between vorticity and relative helicity along particle trajectories is probed, and the relationship between the distribution of helicity conditioned on Reynolds stress quadrants is also evaluated. More importantly, the correlation between relative helicity density and the alignment of vorticity with velocity vectors and eigenvectors of the rate of strain tensor is presented. Separate computations for particles that disperse the farthest into the flow field and those that disperse the least are conducted to determine the flow structures that contribute to turbulent dispersion. The joint distribution of helicity and vertical velocity, and helicity and vertical vorticity depends on the location of particle release and the Schmidt number. The trajectories of particles that disperse the least are characterized by a correlation between the absolute value of the relative helicity density and the absolute value of the cosine between the vorticity vector and the eigenvectors of the rate of strain tensor, while the value of this correlation approaches zero for the particles that disperse the most.

Chemical process effects on sloped surface with changing mass and consistent temperature

The research extensively investigated the turbulent flow patterns surrounding an unbounded inclined plate under the conditions of uniform temperature and variable mass dispersion. Throughout this analysis, the study thoroughly considered the impact of chemical reactions within the system. Focusing on the harmonic inclination of the plate within its plane, the study employed the LT approach to accurately solve the non-dimensional governing equations. In scrutinizing various profiles, the investigation examined the impact of several crucial physical factors: chemical response variable, Schmidt number, thermal Grashof number, mass Grashof number, and duration. This study delves into the intricate influence of various factors on the complex flow dynamics surrounding inclined plates, specifically focusing on heat and mass transfer phenomena. By examining these relationships, the research provides crucial insights into improving the efficiency of thermal and mass transmission processes within systems that incorporate tilted surfaces. Moreover, this knowledge can potentially contribute to advancements in various fields, from renewable energy systems to manufacturing processes, where heat and mass transfer play pivotal roles.

Unsteady magneto porous convective transport by micropolar binary fluid due to inclined plate: An inclusive analogy

In this investigation, the consequence of viscous dissipation on the unstable magneto porous convective transport by a micropolar binary fluid due to an inclined surface with viscous dissipation and thermal radiation is examined. Viscous dissipation plays a noteworthy role in industrial applications. The governing PDEs are converted to combined ODEs with the Boussinesq approximation using a similarity analysis. The obtained non-linear ODEs are resolved using the shooting method with “ODE45 MATLAB” coding assistance. The numerical outcomes are revealed graphically for various dimensionless parameters and numbers, including temperature, concentration, velocity, and micro-rotation. The temperature, micro-rotation, and velocity fields escalate with increasing Eckert numbers. The radiation parameter and variable viscosity parameter increase the flow rate of the fluid. Increasing radiation parameters, suction parameters, and Prandtl numbers lessen the fluid temperature. The buoyancy parameters have symmetrical impacts on the velocity and microrotation of fluid particles in the cooling and heating modes. Improving Eckert number, inclined angle, Schmidt number, Prandtl number, and magnetic parameter reduces skin friction. The heat transmission rate escalates in quantity due to larger Prandtl number values. Rising Prandtl, Eckert, and Schmidt numbers accelerate the mass transfer rate. The current research result is compared to previously published article's result with good agreement.