Nonlinear Problems: Analytical and Computational Approach with Applications
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Computational Modelling of Thermal Stability in a Reactive Slab with Reactant Consumption
Abstract
This paper investigates both the transient and the steady state of a onestep nthorder oxidation exothermic reaction in a slab of combustible material with an insulated lower surface and an isothermal upper surface, taking into consideration reactant consumption. The nonlinear partial differential equation governing the transient reactiondiffusion problem is solved numerically using a semidiscretization finite difference technique. The steadystate problem is solved using a perturbation technique together with a special type of the HermitePadé approximants. Graphical results are presented and discussed quantitatively with respect to various embedded parameters controlling the systems. The crucial roles played by the boundary conditions in determining the thermal ignition criticality are demonstrated.
1. Introduction
Analysis of possible development of runaway at production, storage, and use of a chemical product and subsequent choice of measures that can prevent an accident or mitigate its consequences are the important tasks of reaction hazards assessment [1]. The kinetic model of a reaction that describes heat generation plays a crucial role in the complete explosion model. Although thermal explosion has received much attention in the literature, the vast majority of investigations have been concerned with homogeneous boundary conditions ranging from the infinite Biot number case of a constant surface temperature [2] through a range of Biot numbers to zero [3]. In most of these studies, the determination of critical conditions that separate explosive and nonexplosive domains of a proceeding reaction and evaluation of induction period of an explosion if it appears has been the main focus. Moreover, two main approaches are used for obtaining the necessary data for critical condition. The first approach is based on direct determination of the explosion characteristics by means of explosive experiments. This approach is very expensive, dangerous, and time consuming [4]. The second approach involves the application of mathematical theory of thermal combustion. It involves derivation of appropriate mathematical models that allow major chemical and physical processes within an exothermic reacting system to be taken into account and application of sophisticated analytical and numerical techniques to tackle the problem. Several authors have analysed theoretically the problem of thermal explosion in a reacting slab; they include Zaturska and Banks [5], Bebernes and Eberly [6] and Makinde [7]. In all these earlier studies, the combined effect of asymmetric boundary condition and reactant consumption on the thermal ignition criticality has not been properly reported.
In the present study, the theoretical analysis of Makinde [7] is extended to include the effect of asymmetric boundary condition on both transient and steadystate exothermic thorder oxidation reaction in a slab of combustible material with reactant consumption. This paper is organized as follows; firstly, the governing partial differential equations for oxidation reactions are presented and solved numerically using the semidiscretization finite difference technique known as method of lines. Secondly, the steadystate problem is tackled using perturbation technique coupled with a special type of the HermitePadé approximant in order to obtain the thermal criticality conditions in the system. Pertinent results are presented graphically and discussed quantitatively.
2. Mathematical Model
We consider the transient problem of combustible material undergoing an thorder oxidation chemical reaction in a slab with insulated lower surface (see Figure 1). The complicated chemistry involved in this problem may be simplified by assuming a onestep finiterate irreversible reaction given by
[Combustible material + Oxygen Heat + Carbon dioxide + Water].
The dimensionless equations that describe the physical situation are given by [2, 3, 5–7] with initial and boundary conditions as where is the FrankKamenetskii parameter, is the activation energy parameter, is oxygen consumption rate parameter, oxygen diffusivity parameter, is the order of exothermic chemical reaction, and is the numerical exponent given such that represent numerical exponent for sensitised, Arrhenius, and bimolecular kinetics, respectively (see [6]). Equations (2.2)–(2.6) are obtained after introducing the dimensionless variables and quantities into the governing energy balance and concentration equations; that is, where is the absolute temperature, is the time, is the slab upper surface temperature, is the slab surface oxygen concentration, is the slab initial temperature, is the initial oxygen concentration in the material, is the dimensionless temperature, is the slab upper surface dimensionless temperature, is the dimensionless oxygen concentration, represents the Cartesian coordinates, is the density, specific heat at constant pressure, is the thermal conductivity of the material, is the exothermicity, is the rate constant, is the activation energy, is the universal gas constant, is the Planck number, is the Boltzmann constant, is the vibration frequency, is the slab width, is the distance measured transverse direction, and is the diffusivity of oxygen in the material.
3. Numerical Procedure
Here we employed the method of lines as our solution technique [8]. The governing equations (2.2)(2.3) with the initial and boundary conditions (2.4)–(2.6) are transformed into a system of ODEs using finite differences for the spatial derivatives. Let , , ; and , represents , respectively, then the semidiscrete system for the problem reads with initial conditions The first and last grid points are modified to incorporate the boundary conditions; that is, The MAPLE program is employed to solve (3.1)–(3.5) using a fourthorder RungeKutta method.
4. SteadyState Analysis
A body of chemically reacting material releasing heat to its surroundings may achieve a safe steady state where the temperature of the body reaches some moderate value and stabilizes. Once a steady state is attained, (2.2)–(2.6) then become with The nonlinear nature of (4.1)–(4.4) precludes its exact solution. However, it is convenient to form a power series expansion in the FrankKamenetskii parameter; , that is, Substituting the solution series (4.5) into (4.1)–(4.4) and collecting the coefficients of like powers of , we obtained and solved the equations for the coefficients of solution series iteratively. The solutions for the temperature and the oxygen concentration in the slab are given as Using MAPLE, we obtained the first few terms of the above solution series. It is well known that this power series solution is valid for very small parameter values. However, by using the HermitePadé approximation technique [9], the usability of the solution series is extended beyond small parameter values as illustrated in the following section.
5. Thermal Criticality Determination
When the rate of heat generation in the reacting slab exceeds the rate of heat loss to the surroundings, then ignition can occur. Hence, the evaluation of critical regimes that separate the regions of explosive and nonexplosive ways of chemical reactions is extremely important from the application point of view. In order to achieve this goal, we employ a simple technique of series summation and improvement based on the generalization of Padé approximation technique (Baker and GravesMorris [10]) and may be described as follows. Let be a given partial sum. It is important to note here that (5.1) can be used to approximate any output of the solution of the problem under investigation (e.g., the series for the wall heat flux parameter in terms of the Nusselt number at ), since everything can be Taylor expanded in the given small parameter. Assume the is a local representation of an algebraic function of in the context of nonlinear problems; we construct a multivariate series expression of the form of degree , such that The requirement (5.3) yields ensuring that the polynomial has only one root which vanishes at and reduces the problem to a system of linear equations for the unknown coefficients of . The entries of the underlying matrix depend only on the given coefficients in (5.1); consequently, we take , so that the number of equations equals the number of unknowns. The polynomial is a special type of the HermitePadé approximant [7, 9, 11] and is then investigated for bifurcation and criticality conditions using the Newton diagram [12]. The chief merit of this method is its ability to reveal the solution branches, criticality values as well as extending the usability of the power series solution beyond small parameter values.
6. Results and Discussion
Computational results in Table 1 illustrate the rapid convergence of HermitePadé approximation procedure highlighted in the above section with gradual increase in the number of series coefficients utilized for the approximants. In Table 2, we observed that the magnitude of thermal ignition criticality () increases with an increase in the parameter values of, and a decrease in the slab upper surface temperature parameter . Consequently, a delay in the development of thermal runaway in the reacting slab will be experienced, hence, enhances thermal stability of the system. Moreover, it is noteworthy from Table 2 that thermal ignition occur faster in a bimolecular type of exothermic oxidation reaction as compared to the Arrhenius and sensitised type of reaction.


A slice of the bifurcation diagram for in the plane is shown in Figure 2. It represents the qualitative change in the thermal system as parameter increases. In particular, for , and , there is a critical value (a turning point) such that, for , there are two solutions (labeled I and II). The upper and lower solution branches occur due to nonlinearity in model equations for energy and concentration balance. When the system has no real solution and displays a classical form indicating thermal runaway. As exothermic reaction due to oxidation chemical kinetics increases, the slab temperature increases uncontrollably until it ignites.
6.1. Effect of Various Parameters on Temperature and Oxygen Concentration Profiles
The effects of various thermophysical parameters on the slab temperature and oxygen concentration profiles are displayed in Figures 3, 4, 5, 6, 7, 8, and 9. Generally, the temperature is maximum at the slab lower insulated surface and decreases transversely with minimum value at its upper surface. Meanwhile, the oxygen concentration is lowest along the slab centerline and maximum at the slab surfaces. This can be attributed to the fact that oxygen is utilized within the slab during exothermic chemical kinetics and fresh supply of oxygen from the surrounding is obtained at the slab surfaces. The evolution of the temperature and oxygen concentration in the slab is illustrated in Figures 3 and 4. It is noteworthy that the slab temperature increases while the oxygen concentration decreases gradually with time until it attains its steadystate value. Once the steadystate value is attained, the slab temperature and oxygen concentration remain the same for a given set of parameter values with respect to a further increase in time. In Figure 5, we observed that the slab temperature is highest during bimolecular reaction and lowest for sensitized reaction , hence confirming the earlier results in Table 2. Consequently, oxygen concentration in the slab is lowest during bimolecular reaction and highest for sensitized reaction. In Figures 6 and 7, we observed that the slab temperature decreases while oxygen concentration increases with an increase in the reaction order index and activation energy parameter . This clearly implies that a higherorder exothermic oxidation chemical reaction will be more thermally stable than a lower one. Figures 8 and 9 illustrated the effect of the FrankKamenetskii parameter and the slab upper surface temperature parameter () on the slab temperature and oxygen concentration. The slab temperature increases while the oxygen concentration decreases with an increase in the parameter values of and . As and increase, the oxygen consumption within the slab increases and the slab internal heat generation due to exothermic oxidation reaction increases, this invariably leads to an elevation in the slab temperature.
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7. Conclusions
We have computationally investigated the onestep th order oxidation exothermic reaction in a slab with an insulated lower surface and an isothermal upper surface. The model, which consists of a system of coupled heat and mass transfer differential equations, has been solved numerically using a semidiscretization technique and analytical using a perturbation technique coupled with a special type of the HermitePadé approximants. Our results revealed, among others, the thermal ignition criticality conditions and with the right combination of thermophysical parameters controlling the system, the thermal runaway can be prevented.
Acknowledgment
The author would like to thank the African Union Commission for Science and Technology for their generous financial support.
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Copyright
Copyright © 2012 O. D. Makinde. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.