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Linear stability analysis reactions

Example 12.7 Linear stability analysis Brusselator scheme This example is from Kondepudi and Prigogine (1999). Consider the chemical reaction scheme in Eq. (12.86). Assume that the concentration values of A, B, and E, F are maintained at uniform values, and X and Y are the only remaining variables. Then the kinetic equations are... [Pg.617]

Example 12.8 Linear stability analysis with two variables Consider the following reaction scheme previously used ... [Pg.618]

Example 12.11 Reaction-diffusion model The linear stability analysis (Zhu and Li, 2002) may be used to investigate the evolution of a reaction-diffusion model of solid-phase combustion (Feng et al., 1996). The diffusion coefficients of the oxygen and magnesium (g) are the two controlling parameters besides kinetics... [Pg.626]

Diffusive instability can appear in simple predator-prey models. Bartumeus et al. (2001) used the linear stability analysis and demonstrated that a simple reaction-diffusion predator-prey model with a ratio-dependent functional response for the predator can lead to Turing structures due to diffusion-driven instabilities. [Pg.657]

The purpose of this paper is to investigate the importance of the rate of fluid flow, the dispersion coefficient, and the rate of reaction on channel formation. The analysis of Ortoleva et al. (2), who focussed primarily on a linear stability analysis of the problem, will be extended by examining the full range of non-linear effects involved in reaction-induced channelization of flow. [Pg.213]

As was the case with gasless combustion, the uniformly propagating polymerization wave may become unstable as parameters are varied. We perform a linear stability analysis of the uniformly propagating polymerization wave by employing the reaction front approximation. [Pg.235]

Mathematical models of the frontal copolymerization process were developed, studied and compared with experimental data in [67, 90]. An interesting observation was that the propagation speed of the copolymerization wave was not necessarily related to the propagation speeds in the two homopolymerization processes, in which the same two monomers were polymerized separately. For example, the propagation speeds in the homopolymerization processes could be 1 cm/min in each, but in the copolymerization process, the speed could be 0.5 cm/min. Mathematical models of free-radical binary frontal polymerization were presented and studied in [66, 91]. Another model in which two different monomers were present in the system (thiol-ene polymerization) was discussed in [21]. A mathematical model that describes both free-radical binary frontal polymerization and frontal copolymerization was presented in [65]. The paper was devoted to the linear stability analysis of polymerization waves in two monomer systems. It turned out that the dispersion relation for two monomer systems was the same as the dispersion relation for homopolymerization. In fact, this dispersion relation held true for W-monomer systems provided that there is only one reaction front, and the final concentrations of the monomers could be written as a function of the reaction front temperature. [Pg.238]

Chiu, J.W., Chiam, K.H. Monte Carlo simulation and linear stability analysis of Turing pattern formation in reaction-subdiffusion systems. Phys. Rev. E 78(5), 056708 (2008). http // dx.doi.org/10.1103/PhysRevE.78.056708... [Pg.427]

The linear stability analysis of the longitudinally propagating fronts in the cylindrical adiabatic reactors with one overall reaction predicted that the expected frontal mode for the given reactive medium and diameter of reactor is governed by the Zeldovich number ... [Pg.111]

Linear stability analysis describes the behavior of a system at near equilibrium. Hamiltonian dynamics show that classical mechanics is invariant to (—t) and (t). In a macroscopic description of dissipative systems, we use collective variables of temperature, pressure, concentration, and convection velocity to define an instantaneous state. The evolution equations of the collective variables are not invariant under time reversal for the reaction ... [Pg.583]

Linear stability analysis Quantitative assessment of the effect of transport (Kang and Jome 1993, 1997 Valance 1997 across space charge and reaction kinetics on interface Wehrspohn et al. 1999 Chazalviel et al. 2000, stability 2002) ... [Pg.276]

When we studied the emergence of temporal oscillations in Chapter 2, we found that it was useful to examine whether a small perturbation to a steady state would grow or decay. We now attempt a similar linear stability analysis of a system in which diffusion, as well as reaction, can occur. First, consider the general reaction-diffusion equation ... [Pg.110]

Garbey, M., Taik, A., and Volpert, V. (1996) Linear stability analysis of reaction fronts in liquids. Quart. Appl. Math., 54, 225-247. [Pg.66]

These techniques help in providing the following information specific heat, enthalpy changes, heat of transformation, crystallinity, melting behavior, evaporation, sublimation, glass transition, thermal decomposition, depolymerization, thermal stability, content analysis, chemical reactions/polymerization linear expansion, coefficient, and Young s modulus, etc. [Pg.655]

X-ray structure analysis showed that macrocycle 57 was essentially planar, with the twist angle of the benzene rings from the plane of the macrocycle being less than 2°. Most of the strain was seemingly contained in the triple bonds, as these were bent from linearity by 10.1° to 12.3°. Despite its strained nature, the macrocycle showed remarkable stability. Decomposition occurred above 300°C on attempted melting. No reaction was observed between 57 and cyclopenta-diene at room temperature. [Pg.96]


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See also in sourсe #XX -- [ Pg.345 , Pg.346 , Pg.347 , Pg.348 ]




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