Heat Propagation of Eyring-Prandtl Double Reaction and Pressure Driven Hydromagnetic Viscous Heating Fluid in a Device

Rasaq Adekunle Kareem, Joshua Olugbenga Ajilore, Samuel Oluyinka Sogunro

Department of Mathematical Science, Lagos State University of Science and Technology, Ikorodu, Nigeria.

DOI: 10.4236/jamp.2023.118155                

Abstract

The effect toxic industrial discharge on the environment and ecosystem cannot be overlooked. This is owing to a partial combustion of hydrocarbon arising from industrial activities and human endeavours. As such, this investigation focuses on the pressure driven flow and heat propagation of combustible Prandtl-Eyring viscous heating fluid in a horizontal device. The combustion-reaction of the viscoplastic material is considered to be inspired by two-step exothermic reaction. With negligible reactant consumption, the flowing fluid is influenced by a chemical kinetic, activation energy and electromagnetic force. An invariant transformation of the partial derivative model to an ordinary derivative model is obtained through an applied dimensionless variable. The solutions to the unsteady thermal fluid flow model are obtained via a semi-implicit difference scheme, and the outputs of the solution are displayed in plots and tables. As revealed, an enhanced heat propagation is obtained that in turn encourages the combustion process of the system. Also, increasing material dilatant simulated fluid molecular bond and viscosity. Therefore, the outcomes of this study are treasured to the thermal and chemical engineering, and the environmental management.

Keywords

Viscous Heating, Exothermic Reaction, Two-Step Diffusion, Viscoelastic Fluid

1. Introduction

Recently, the main industrial base fluids are viscoplastic materials resulting from their unusual rheological characteristics and usefulness. Different dynamical tensor stress are considered in developing the individual fluid material, Prandtl-Eyring material is one the most used working fluids. A hyperbolic strain rate function is assumed for the topographical materialistic of the fluid model with linear stress slip interaction [1] [2] [3] . The fluid can be utilized in hosepipe, manufacturing of shoes, bulletproof jackets, PVC pipes and so on, Qureshi [4] . Owing to the usages of Prandtl-Eyring material induced by Lorentz force, Munjam et al. [5] discussed magneto-radiation of a Prandtl-Eyring flowing fluid through a convective heated elongated surface. As revealed, the flow velocity is reduced as the Lorentz force is stimulated to boost the material dilatant property. Salawu et al. [6] examined nonlinear radiation absorption and heat transfer maximization of hybridized Prandtl-Eyring nanofluids. High heat absorption and distribution is recorded with an increased viscoplastic material term. Hayat et al. [7] investigated gyrotatic microorganism nanofluid thermal melting of a Prandtl-Eyring heat transport. The outcomes show that the heat propagation is encouraged as the Prandtl and thermal dissipation parameter values are raised. Rehman et al. [8] studied invariant thermal and species distributions of Eyring-Prandtl diffusion-reaction fluid via a numerical scheme. A sensitivity analysis of the entrenched parameters depicted that strengthening the viscous heating and viscoelastic material enhanced the thermal and concentration fields along the flow region. Hence, the kind of materials considered determines the quantity of thermal distribution in a system.

The viscoelastic fluid thermal transport and species dispersion can be stimulated by kinetics exothermic reaction. As found in nature and industrial system, for a system in which exothermic reaction is involved, high quantity of heat is released. In such a diffusion-reaction system occurs a combustion process [9] [10] . In chemical sciences and engineering, combustion process is very significant, and it is useable material processing, propulsion rocket, pollution mitigation, fire and safety management and so on, Ajadi [11] . As a result, idealized single-step exothermic diffusion-reaction has been examined by several scientists that include Zhu et al. [12] , their investigation focuses on the partially premixed self-absorption of effective combustible thermal radiation. It was reported that the premixed combustion flame is augmented by thermal radiation. Makinde [13] discussed third grade non-Newtonian thin film gravity driven flow and thermal criticality in an inclined adiabatic device. Internal thermal combustion is raised with a rise in the material term, as such large heat generation must be watched to prevent and low efficiency of thermal system. Salawu and Disu [14] examined temperature propagation of an Oldroyd 6-constant fluid for a pressure driven Couette flow and thermal criticality. The species initiation rate and Frank-Kamenestskii were presented separately to have influenced the thermal distribution of the reactive species. Hassan et al. [15] carried out study on the magneto-exothermic reaction fluid and thermal radiation in a porous flow medium. A chemical kinetics of $n=0$ depicting the Arrhenius reaction was assumed for the single-step diffusion-reaction, and the heat transfer was found to have been raised. Several other observations on the exothermic reaction are reported by [16] [17] [18] [19] [20] . However, single reaction-diffusion is not enough to explain combustion process especially the burn of hydrocarbon.

For a heat propagating system, in which single reaction-combustion is not sufficient, double exothermic diffusion remains a good platform for a reactive species combustion of viscoelastic fluid, Salawu et al. [21] . As an example, hydrocarbon combustion in an engine required catalytic converter for a complete burn of hydrocarbon serves as a platform for double exothermic reaction as reported by Szabo [22] . To minimize the quantity of unwanted environmental toxic released from industrial activities, automobile engines and other human endeavours, double combustion system should be encouraged. This will reduced the volume of CO₂ discharged to surroundings that in turn affects the ecosystem, Makinde et al. [23] . As a result, Kareem and Gbadeyan [24] discussed entropy minimization and thermal ignition of an electrically induced flowing fluid along a Couette device. It was noticed from the investigation that the thermal propagation profile is boosted for an increased values of two-step reaction term, this resulted in an enhanced reaction-combustion. Likewise, Salawu et al. [25] theoretically investigated two-step reaction-diffusion of couple stress fluid and thermal ignition bifurcation in a convective medium with Reynolds viscosity and optical radiation. It was reported that that the fluid material inviscid and molecular bond is raised as the second step and non-Newtonian term values are increased. Thus, the usability and applications of two-step reacting species in combustion technology and thermal cannot be overlooked.

A diffusion-reaction of Eyring-Prandtl reacting species influenced by Lorentz force and pressure gradient in a channel gained low or no scientists attention. These research gaps and its usefulness motivated the present theoretical study. The considered analysis is very significant and essential in enhancing jet and rocket propulsion, pollution control, lubricant oil and others. Therefore, the focus of the investigation is on the Eyring-Prandtl two-step diffusion-reaction of viscous hydromagnetic exothermic reaction with Joule heating in a Couette non-isothermal medium. The flowing fluid rate and heat dispersion field for different parametric sensitivities of a double fluid reaction is examined. The thermal science quantities of attention, the fluid wall drag and temperature gradient are considered and the computed outputs are displayed in tables. Also, the impact of entrenched dependent parameters is plotted in graphs. The finite semi-implicit method is used to provide all the solutions and the discussion of results is performed comprehensively.

2. Formulation Mathematical Model

Examine a hydromagnetic Eyring-Prandtl Couttte generalized flow of double-step species reactant combustion. In the absence of reactant absorption, an Ohmic dissipation of the viscoelastic matrial is assumed for an exothermic species generalized kinetic model. The Eyring-Prandtl flow material is exposed to two-step diffusion-reaction in a non-isothermal horizontal channel. The pressure driven fluid under the impact of Lorentz force flows through a Couette medium is affected by pre-exponential index n and activation energy. Neglecting the z-flow direction, the viscoplastic fluid moves in the x-direction and y-direction is taken to be normal to it, as geometrically displayed in Figure 1.

The exothermic two-step irreversible reaction for the k-fluid oxidation reactant species is expressed according to Williams [26]

$C_2{H}_{5}OH+2\left(94/25N_2+O_2\right)\Rightarrow 188/25N_2+2CO+3H_{2}O$

$CO+1/2\left(95/25N_2+O_2\right)\Rightarrow 47/25N_2+C{O}_2$

The dynamical Eyring-Prandtl stress tensor compatible model is considered inline with [27] [28]

$\tau =\partial w_y\frac{\Lambda {\sin }^{-1}\left(\frac{1}{\alpha }{\left[{\left(\partial w_y\right)}^2+{\left(\partial w_y\right)}^2\right]}^{1/2}\right)}{{\left(\partial w_y\right)}^2+{\left(\partial w_y\right)}^2}.$ (1)

The velocity curving mechanisms is depicted by $W=\left[w_1\left(x,y,0\right),w_2\left(x,y,0\right),0\right]$ , $\alpha$ and $\Lambda$ denote fluid viscous parameters. The double-step heat reaction balance for the magneto-exothermic reactant is applied according to Salawu et al. [21] [25]

$\rho \partial T_t=-divq+\Lambda {\left({\nabla }^{2}W\right)}^2+A_1{H}_1{C}_1+A_2{H}_2{C}_2.$ (2)

Here H₁ and H₂ represent the reaction heat, C₁ and C₂ connote reactant species, T is temperature of the fluid, $q$ is the thermal flux satisfying Fourier law and defined as $q=-k\nabla T$ representing the heat conduction, $\rho$ illustrates density of the fluid. Following [29] [30] , the temperature diffusion-reaction rate A₁ and A₂ are expressed for the Arrhenius reaction as,

$A_1=R_1{\left(\frac{BT}{v\hslash }\right)}^n{\text{e}}^{-E_1/RT},\mathrm{<mtext>\; \hspace{0.17em}\; </mtext>\; <mtext>\; \hspace{0.17em}\; </mtext>}{A}_2=R_2{\left(\frac{BT}{v\hslash }\right)}^n{\text{e}}^{-E_2/RT}.$ (3)

Here, B is Boltzmann constant, $\hslash$ is Planck’s constant, E₁ and E₂ connote activation energy, R₁ and R₂ present the reacting species order, v is frequency of vibration, and n is the reaction ( $n\in \left\{-\mathrm{2,0,}1/2\right\}$ ) for the reaction kinetics. Taken that low reactant absorption coefficient occur, subject to the mentioned assumptions, the unsteady reactive Eyring-Powell flowing fluid momentum and the reaction heat distribution balance gives:

$\partial w_{\bar{t}}=-\partial {\bar{p}}_{\bar{x}}+\frac{\Lambda }{\rho \alpha }{\partial }^2{w}_{\bar{y}\bar{y}}-\frac{\Lambda }{2\rho {\alpha }^3}{\left(\partial w_{\bar{y}}\right)}^2{\partial }^2{w}_{\bar{y}\bar{y}}-\frac{\sigma B_0^2}{\rho }w,$ (4)

$\rho C_p\partial T_{\bar{t}}=k{\partial }^2{T}_{\bar{y}\bar{y}}+\frac{\Lambda }{\alpha }{\left(\partial w_{\bar{y}}\right)}^2\left(1-\frac{1}{6{\alpha }^2}{\left(\partial w_{\bar{y}}\right)}^2\right)+\sigma B_0^2{w}^2+H_1{C}_1{A}_1+H_2{C}_2{A}_2,$ (5)

the suitable initial and boundary conditions takes the form:

$\begin{array}{l}w\left(\bar{y},0\right)=0,\mathrm{<mtext>\; \hspace{0.17em}\; </mtext>}T\left(\bar{y},0\right)=0,\mathrm{<mtext>\; \hspace{0.17em}\; </mtext>}w\left(0,\bar{t}\right)=0,\mathrm{<mtext>\; \hspace{0.17em}\; </mtext>}T\left(0,\bar{t}\right)=T_a,\\ \partial w_{\bar{y}}\left(b,\bar{t}\right)=0,\mathrm{<mtext>\; \hspace{0.17em}\; </mtext>}T\left(b,\bar{t}\right)=T_0,\mathrm{<mtext>\; \hspace{0.17em}\; </mtext>\; <mtext>\; \hspace{0.17em}\; </mtext>}\text{for}\bar{t}>0.\end{array}$ (6)

Figure 1. Flow schematic configuration.

The individual parameters are the initial temperature T₀, channel width b, ambient heat energy T_a, flow rate w, pressure p, magnetic strength B₀, specific heat C_p, time $\bar{t}$ , electrical conduction $\sigma$ and heat conduction k. Together with the applicable subsequent variables, the invariant equations are offered

$\begin{array}{l}G=-\frac{\partial \bar{p}}{\partial \bar{x}},t=\frac{\bar{t}\mu }{\rho b^2},x=\frac{\bar{x}}{b},u=\frac{w}{W_0},\theta =\frac{E_1\left(T-T_0\right)}{T_0^{2}R},p=\frac{b\bar{p}}{W_0\mu },y=\frac{\bar{y}}{b},\\ Br=\frac{E_1\mu W_0^2}{T_0^{2}Rk},a=\frac{E_2}{E_1},\gamma =\frac{C_1{H}_1{E}_1{R}_1{b}^2}{k{T}_0^{2}R}{\left(\frac{T_{0}B}{\hslash v}\right)}^n{\text{e}}^{-\frac{1}{\lambda }},\lambda =\frac{T_{0}R}{E_1},\beta =\frac{\Lambda }{\mu \alpha },\\ \delta =\frac{W_0}{2{\alpha }^2{b}^2},\chi =\frac{C_2{H}_2{R}_2}{R_1{C}_1{H}_1},{\theta }_a=\frac{E_1\left(T_a-T_0\right)}{T_w^{2}R},Pr=\frac{C_p\mu }{k},H=\frac{\sigma B_0^2{b}^2}{\mu }.\end{array}$ (7)

Using the above variables (7) on the partial derivative thermofluidic equations and on the boundary constraint, the invariant physical equations are gotten:

$\partial u_t=G-\delta \beta {\left(\partial u_y\right)}^2{\partial }^2{u}_{yy}+\beta {\partial }^2{u}_{yy}-Hu,$ (8)

$\begin{array}{c}Pr\partial {\theta }_t={\partial }^2{\theta }_{yy}+\gamma \left\{{\left(1+\lambda \theta \right)}^n\left({\text{e}}^{\frac{\theta }{1+\lambda \theta }}+\chi {\text{e}}^{\frac{a\theta }{1+\lambda \theta }}\right)\right\}\\ +Br\left[H{u}^2+\beta {\left(\partial u_y\right)}^2-\frac{\delta \beta }{3}{\left(\partial u_y\right)}^4\right]\mathrm{,}\end{array}$ (9)

the invariant initial and boundary conditions take the form:

$u\left(\mathrm{0,}t\right)=\mathrm{0,\; <mtext>\; \hspace{0.17em}\; </mtext>}u\left(y\mathrm{,0}\right)=\mathrm{0,\; <mtext>\; \hspace{0.17em}\; </mtext>}\theta \left(y\mathrm{,0}\right)=\mathrm{0,\; <mtext>\; \hspace{0.17em}\; </mtext>}\theta \left(\mathrm{0,}t\right)={\theta }_c\mathrm{,\; <mtext>\; \hspace{0.17em}\; </mtext>}\partial u_y\left(\mathrm{1,}t\right)=\mathrm{0,\; <mtext>\; \hspace{0.17em}\; </mtext>}\theta \left(\mathrm{1,}t\right)=\mathrm{0,\; <mtext>\; \hspace{0.17em}\; </mtext>}\text{for}t>0.$ (10)

The separate embedded parameters H, β, δ, G, γ, λ, Pr, Br, a and χ are magnetic term, Eyring-Prandtl materials, pressure gradient, activation energy, Frank-Kamenetskii, Prandtl number, Brinkman number, activation energy ratio and reaction second step. The invariant important variables of thermal science interest are the wall drag (Sr) and temperature gradient (Hr) described as:

$Sr={\left(\beta \partial u_y-\frac{1}{3}\beta \delta {\left[\partial u_y\right]}^3\right)|}_{y=0}\mathrm{,\; <mtext>\; \hspace{0.17em}\; </mtext>\; <mtext>\; \hspace{0.17em}\; </mtext>\; <mtext>\; \hspace{0.17em}\; </mtext>}Hr=-{\partial {\theta }_y|}_{y=0}$ (11)

The detailed solution procedures of the invariant derivative Equations (8) to (11) are computationally done for the parameters dependent sensitivity.

3. Computational Method and Procedures

The computational method is formulated on a consistent and convergent finite semi-implicit method as demonstrated by [30] [31] [32] for a viscoelastic non-isothermal flow constraints. According to Makinde [33] , the computation procedures is used on the double-step diffusion-reaction Eyring-Prandtl reacting species. An implicit time $\left(m+h\right)$ intermediate level is utilized in the h range of [0, 1]. For the numerical analysis, $h=1$ is taken for large a computational step times, as employed by Chinyoka [34] . A discretization uniform finite differences in a cartesian linear grid and mesh for the invariant derivative equations is carried out. A spatial approximated differentiation is done via a central difference of second order. Thus, the resulted equations and boundary conditions are integrated in grid point for the computation. Hence, the finite semi-implicit method for the flow velocity module is expressed as

$\frac{u^{\left(m+1\right)}-u^{\left(m\right)}}{\Delta t}=G-\delta \beta \partial u_y^{2\left(m\right)}{\partial }^2{u}_{yy}^{\left(m+h\right)}+\beta {\partial }^2{u}_{yy}^{\left(m+h\right)}-H{u}^{\left(m+h\right)}\mathrm{,}$ (12)

with $u^{\left(m+h\right)}$ described as

$\begin{array}{l}-{\xi }_1{u}_{j-1}^{\left(m+1\right)}+\left(2{\xi }_1+1\right)u_j^{\left(m+1\right)}-{\xi }_1{u}_{j+1}^{\left(m+1\right)}\\ =u^{\mathrm{<mo\; stretchy="false">\; (\; </mo>}m\mathrm{<mo\; stretchy="false">\; )\; </mo>}}+\Delta t\left(1-\xi \right)\beta u_{yy}^{\left(m\right)}-\Delta t\beta \delta {\left(u_y\right)}^{2\left(m\right)}{u}_{yy}^{\left(m\right)}+\Delta tG-\Delta tH{u}^{\left(m\right)},\end{array}$ (13)

where, ${\xi }_1=\frac{\Delta t}{\Delta y^2}$ . The method of solution for $u^{\left(m+1\right)}$ invariants for the

tri-diagonal inverse matrix, this resulted in a suitable outcomes than using the complete implicit method. Hence, the combustible fluid temperature field reaction in a semi-implicit discretization form is taken after the flow rate module. The second order partial differentiation thermal module is illustrated as:

$\begin{array}{c}Pr\frac{{\theta }^{\left(m+1\right)}-{\theta }^{\left(m\right)}}{\Delta t}={\theta }_{yy}^{\left(m+h\right)}+\gamma {\left(1+\lambda \theta \right)}^n{\left({\text{e}}^{\frac{\theta }{1+\lambda \theta }}+\chi {\text{e}}^{\frac{a\theta }{1+\lambda \theta }}\right)}^{\left(m\right)}\\ +Br{\left(H{u}^2+\beta {\left(\partial u_y\right)}^2-\frac{\delta \beta }{3}{\left(\partial u_y\right)}^4\right)}^{\left(m\right)}\mathrm{,}\end{array}$ (14)

where ${\theta }^{\left(m+1\right)}$ is described as

$\begin{array}{l}-{\xi }_2{\theta }_{j-1}^{\left(m+1\right)}+\left(2{\xi }_2+Pr\right){\theta }_j^{\left(m+1\right)}-{\xi }_2{\theta }_{j+1}^{\left(m+1\right)}\\ =\Delta tBr{\left(H{u}^2+\beta {\left(\partial u_y\right)}^2-\frac{\delta \beta }{3}{\left(\partial u_y\right)}^4\right)}^{\left(m\right)}\\ +\Delta t\gamma {\left(1+\lambda \theta \right)}^n{\left({\text{e}}^{\frac{\theta }{1+\lambda \theta }}+\chi {\text{e}}^{\frac{a\theta }{1+\lambda \theta }}\right)}^{\left(m\right)}+{\theta }^{\left(m\right)}+\Delta t{\theta }_{yy}^{\left(m\right)}\mathrm{,}\end{array}$ (15)

here, ${\xi }_2=\frac{\Delta t}{\Delta y^2}$ . The numerical procedures for ${\theta }^{\left(m+1\right)}$ resulted to a tri-diagonal

inverse matrix. The solution method is established for consistency, convergence and exactness when $h=1$ for the first and second order individually in space and time. Thus, the solution scheme is offered for a spatial and temporal convergence, which is presented not to depend on the step and mesh length.

4. Results and Discussion

The two-step hydromagnetic Eyring-Prandtl fluid combustion-reaction occurs in a non-isothermal device, this is numerically analyzed via finite semi-implicit finite method. This scheme is utilized due to its consistence, exactness, convergent and stability. Following earlier published results in [5] [12] [13] , the parameters $\gamma =0.1$ , ${\theta }_c=0$ , $\lambda =0.3$ , $H=0.7$ , $a=1$ , $\chi =0.5$ , $\delta =0.3$ , $n=0.5$ , $\beta =0.2$ , $Pr=3$ , $Br=0.3$ and $G=0.3$ are set as default values, otherwise each plot will indicate. Table 1 establishes thermal ignition numerical outputs for various reaction kinetics, thus, $n=-2$ for sensitized kinetic, $n=0$ for Arrhenius kinetic and $n=0.5$ for Bimolecular kinetic. The heat reaction-diffusion parameters Br, $\chi$ and $\lambda$ are examined for the ${\gamma }_{cr}$ and ${\theta }_{\max }$ . As observed, the sensitized kinetic gives larger computed outcomes for the ${\gamma }_{cr}$ and ${\theta }_{\max }$ , than Arrhenius kinetic follow then by Bimolecular kinetic. The boundary film constraints and fluid material influenced the solution outputs. Meanwhile, in Table 2, the plate drag force and thermal propagation gradient outcomes are established. As noted, some parameters caused a rising impact while some declined the flow fluid near the channel wall. This is traceable to the electromagnetic force strength, material viscosity and Joule heating.

Table 1. Numerical outputs for thermal ignition under diverse reaction kinetics.

Table 2. Numerical outputs for the wall friction (Sr) and plate heat gradient (Hr).

The thermfluidic flow dimension field reaction to rising viscoelastic dilatant material (β) and magnetic (H) parameters are individually displayed in Figure 2 and Figure 3. As observed from the Figure 2, the Eyring-Prandtl parameter inspired the viscous fluid reaction-diffusion that arises from an increasing fluid shear thickness and shear strain. This resulted in the propagation of the fluid particles in the non-Newtonian material chemistry of the surface suspended reactant. Therefore, the flowing fluid rate declined steadily along the stream regime. Likewise, in Figure 3, increasing values of the magnetic parameter discouraged the Eyring-Prandtl flowing fluid field in the bounded non-isothermal medium. The stimulated Lorentz force induced via magnetic field boosted the fluid molecular bond, which resulted in opposing the flow velocity profile as illustrated in

Figure 2. Flow rate field with diverse β.

Figure 3. Impact of H on velocity profile.

the diagram. The created electromagnetic force resists free particles collision to damp the flow rate profile. Figure 4 depicts the pressure gradient (G) impact on the reactive non-Newtonian fluid velocity distribution. As noted, a progressively rise in the velocity field is obtained as the exact pressure on the fluid is raised rapidly along the horizontal flow medium. The fluid diffusion-reaction rate is steadily boosted to inspired internal heat generation and Joule heating, this in turn opposes the viscous Eyring-Prandtl fluid bond. An overall increased in the fluid particle propagation and interaction is noticed, and this thereby enhanced the velocity of the flow profile. Also, the pressure gradient (G) and the magnetic parameter (H) impact are separately demonstrated on the Figure 5 and Figure 6. Both terms (G) and (H) encourages exothermic reaction and thermal energy

Figure 4. Velocity profile with enhancing G.

Figure 5. Temperature field for rising G.

Figure 6. Thermal profile for increasing H.

source terms of the heat Equation (9), that in turm decreased the viscoelastic fluid particles bonding. Hence, fluid particles collision is boosted to stimulate Joule heating, which causes an enhancing heat dispersion in the thermal reaction device. Additionally, an electromagnetic force is created by the magnetic field to encourage the Eyring-Prandtl viscous property, thus the diffusion-reaction is stimulated to propel the combustible species reaction. Therefore, the thermal distribution is increased.

In Figure 7, the second step parameter (χ) impact on the heat transfer of reactive combustion, Eyring-Prandtl fluid is investigated. It was noted that the heat transport field is highly raised as the parameter (χ) values is increased. The rising heat propagation is momentous in propelling complete exothermic reaction, which reduces the toxic discharge that affects the ecosystem and the environment. As such, two-step diffusion-combustion of Prandtl-Eyring fluid species can be promoted to mitigate the quantity of carbon II oxide released to surroundings. The response of the viscoelastic fluid thermal distribution to an enhancing Brinkman (Br) and Frank-Kamenetskii (γ) parameter values are presented in Figure 8 and Figure 9 separately. Figure 8 displays that the flow channel wall thermal conductivity to the non-Newtonian viscous species is strengthened past the flow medium. Therefore, the particle thermal conductivity of the Joule heating is stimulated to incline the heat transfer field. Likewise, in Figure 9, increasing thermal propagation is observed for the homogenous reactant mixtures in the non-isothermal flow channel. Hence, Frank-Kamenetskii parameter (γ) dominated thermal explosion process of the chemical species diffusion-reaction, thus species reactant absorption is considered very low and insignificant for the bimolecular kinetic. As a result, in the exothermic double-step diffusion-reaction system, Frank-Kamenetskii parameter (γ) needs to be consciously monitored to prevent system thermal explosion. In Figure 10, the ratio of activation energy parameter (a) on the thermal reaction distribution is presented. An increased in the temperature field is observed as the activation energy ratio is boosted. The quantity of energy needed to propel a chemical reaction defined activation energy, hence the Eyring-Prandtl molecular reactant undergoes species transformation. Thermal energy is stimulated by the activation energy, which turned to inspire exothermic diffusion thermal propagation across the Couette device. Raising the Prandtl number (Pr) causes a reduction in the temperature distribution as showed in Figure 11. The parameter (Pr) defined the ratio of the product of the density and heat capacity to the thermal conductivity. As obtained in the plot, the kinematic viscous diffusivity governs the exothermic two-step reaction-diffusion, which leads to a declined momentum diffusivity. Thus, internal and viscous heating are discouraged, this thereby damps the heat profile as obtained from the figure.

Figure 7. Heat field with boosting χ.

Figure 8. Heat diffusion for different Br.

Figure 9. Temperature field for changing γ.

Figure 10. Thermal profile Heat with diverse a.

Figure 11. Heat field for rising Pr.

5. Conclusions

The investigation of exothermic diffusion-reaction Eyring-Prandtl hydromagnetic Joule heating reactive species in a Couette medium is carried out. With suitable variables, the invariant derivative model equations are presented for the flowing thermofluid physical properties. The computed solutions are represented in plots to depict the fluid flow rate and thermal distribution. A parametric sensitivity of the entrenched thermodynamical terms is demonstrated. The outputs summary is taken as:

• A monotonically increased in velocity field past the flow regime y declined as the magnetic and material dilatant parameters increased.

• The velocity distribution and the thermal profile strengthened over flow channel middle for a rise in the pressure gradient.

• The Eyring-Pradtl reaction-diffusion is stimulated as the values of Frank Kamenetskii, activation energy ratio and Brinkman number are raised.

• The second step parameter inspired the thermal distribution to assist in the complete combustion process.

This investigation is applicable in industrial processes and in nature that depends on the diffusion-reaction for their endaviour, such as, basic flow reacting species system, pollution management, fire mitigation, rocket and jet propulsion, power production and others. Therefore, extending the study to other viscoelastic fluids in concentric pipe should not be overlooked.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

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