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Chemical reaction models transform physical knowledge into a mathematical formulation that can be utilized in computational
simulation A simulation is an imitative representation of a process or system that could exist in the real world. In this broad sense, simulation can often be used interchangeably with model. Sometimes a clear distinction between the two terms is made, in ...
of practical problems in
chemical engineering Chemical engineering is an engineering field which deals with the study of the operation and design of chemical plants as well as methods of improving production. Chemical engineers develop economical commercial processes to convert raw materials ...
. Computer simulation provides the flexibility to study chemical processes under a wide range of conditions. Modeling of a
chemical reaction A chemical reaction is a process that leads to the chemistry, chemical transformation of one set of chemical substances to another. When chemical reactions occur, the atoms are rearranged and the reaction is accompanied by an Gibbs free energy, ...
involves solving conservation equations describing
convection Convection is single or Multiphase flow, multiphase fluid flow that occurs Spontaneous process, spontaneously through the combined effects of material property heterogeneity and body forces on a fluid, most commonly density and gravity (see buoy ...
,
diffusion Diffusion is the net movement of anything (for example, atoms, ions, molecules, energy) generally from a region of higher concentration to a region of lower concentration. Diffusion is driven by a gradient in Gibbs free energy or chemical p ...
, and reaction source for each component species.


Species transport equation

: \frac + \nabla \cdot ( \rho \vec v Y _i) = - \nabla \cdot \vec J _i + R _i ''R''''i'' is the net rate of production of species ''i'' by chemical reaction and ''S''''i'' is the rate of creation by addition from the dispersed phase and the user defined source. ''J''''i'' is the diffusion flux of species ''i'', which arises due to concentration gradients and differs in both laminar and turbulent flows. In turbulent flows,
computational fluid dynamics Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid dynamics, fluid flows. Computers are used to perform the calculations required ...
also considers the effects of
turbulent In fluid dynamics, turbulence or turbulent flow is fluid motion characterized by chaotic changes in pressure and flow velocity. It is in contrast to laminar flow, which occurs when a fluid flows in parallel layers with no disruption between ...
diffusivity. The net source of chemical species ''i'' due to reaction, ''R''''i'' which appeared as the source term in the species transport equation is computed as the sum of the reaction sources over the ''N''''R'' reactions among the species.


Reaction models

These reaction rates ''R'' can be calculated by following models: # Laminar finite rate model # Eddy dissipation model # Eddy dissipation concept


Laminar finite rate model

The laminar finite rate model computes the chemical source terms using the Arrhenius expressions and ignores turbulence fluctuations. This model provides with the exact solution for laminar flames but gives inaccurate solution for turbulent flames, in which turbulence highly affects the chemistry reaction rates, due to highly non-linear Arrhenius chemical kinetics. However this model may be accurate for combustion with small turbulence fluctuations, for example
supersonic Supersonic speed is the speed of an object that exceeds the speed of sound (Mach 1). For objects traveling in dry air of a temperature of 20 °C (68 °F) at sea level, this speed is approximately . Speeds greater than five times ...
flames.


Eddy dissipation model

The eddy dissipation model or the Magnussen model, based on the work of Magnussen and Hjertager, is a turbulent-chemistry reaction model. Most fuels are fast burning and the overall rate of reaction is controlled by turbulence mixing. In the non-premixed flames, turbulence slowly mixes the fuel and oxidizer into the reaction zones where they burn quickly. In premixed flames the turbulence slowly mixes cold reactants and hot products into the reaction zones where reaction occurs rapidly. In such cases the combustion is said to be mixing-limited, and the complex and often unknown chemical kinetics can be safely neglected. In this model, the chemical reaction is governed by large eddy mixing time scale. Combustion initiates whenever there is turbulence present in the flow. It does not need an ignition source to initiate the combustion. This type of model is valid for the non-premixed combustion, but for the premixed flames the reactant is assumed to burn at the moment it enters the computation model, which is a shortcoming of this model as in practice the reactant needs some time to get to the ignition temperature to initiate the combustion.


Eddy dissipation concept

The eddy dissipation concept (EDC) model is an extension of the eddy dissipation model to include detailed chemical mechanism in turbulent flows. The EDC model attempts to incorporate the significance of fine structures in a turbulent reacting flow in which combustion is important. EDC has been proven efficient without the need for changing the constants for a great variety of premixed and diffusion controlled combustion problems, both where the chemical kinetics is faster than the overall fine structure mixing as well as in cases where the chemical kinetics has a dominating influence.


References

{{Reflist * Ansys Fluent Help, Chapters 7, 8. * Henk Kaarle Versteeg, Weeratunge Malalasekera. ''An Introduction to Computational Fluid Dynamics: The Finite Volume Method''. * Magnussen, B. F. & B. H. Hjertager (1977). "On Mathematical Models of Turbulent Combustion with Special Emphasis on Soot Formation and Combustion". Symposium (International) on Combustion. 16 (1): 719–729. doi:10.1016/S0082-0784(77)80366-4. * Bjørn F. Magnussen. Norwegian University of Science and Technology Trondheim (Norway), Computational Industry Technologies AS (ComputIT)
The Eddy Dissipation Concept: A Bridge Between Science and Technology
* Schlögl, Friedrich
"Chemical reaction models for non-equilibrium phase transitions."
Zeitschrift für Physik 253.2 (1972): 147–161. * Levenspiel, Octave. ''Chemical reaction engineering''. Vol. 2. New York etc.: Wiley, 1972. Chemical reaction engineering Mathematical modeling