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The system behaviour for

An example of a very low diffusion rate of D = 0.1 is shown in Fig. 9.13. For this case the phase transition at y vanishes. Because of the very small reactivity of the H atoms large cluster structures of particles are formed. This allows the simultaneous appearance of H and N atoms on the surface. [Pg.559]


This fomi is called a Ginzburg-Landau expansion. The first temi f(m) corresponds to the free energy of a homogeneous (bulk-like) system and detemiines the phase behaviour. For t> 0 the fiinction/exliibits two minima at = 37. This value corresponds to the composition difference of the two coexisting phases. The second contribution specifies the cost of an inhomogeneous order parameter profile. / sets the typical length scale. [Pg.2370]

In this chapter only the first step in the specification of the control systems for a process will be considered the preparation of a preliminary scheme of instrumentation and control, developed from the process flow-sheet. This can be drawn up by the process designer based on his experience with similar plant and his critical assessment of the process requirements. Many of the control loops will be conventional and a detailed analysis of the system behaviour will not be needed, nor justified. Judgement, based on experience, must be used to decide which systems are critical and need detailed analysis and design. [Pg.228]

Combinations of these have also been postulated for particular systems. The mechanistic implications of these rate expressions have been considered in detail. However, it is now clear that the observed behaviour for a particular system may be more complex and that these rate expressions may be, at least in some cases, only approximations for more complicated expressions (Shamim Hambright, 1983 Rao Krishnan, 1985). [Pg.196]

Many model systems which mimic both the redox behaviour [for example, ready reduction to Co(i) species] and the alkyl binding ability of vitamin Bu derivatives have been investigated. The most studied of these has involved bis(dimethylgloximato)cobalt systems of type (307), known as the cobaloximes (Bresciani-Pahor et al., 1985). Other closely related... [Pg.232]

The systems which are often involved in RESS and also in PGSS are highly asymmetrical binary mixtures which contain two substances with large differences in molecular size, structure, and intermolecular interactions. Two main features of the phase-behaviours for such systems are ... [Pg.590]

We study here the A + 5B2 —> 0 reaction upon a disordered square lattice on which only a certain fraction S of lattice sites can be accessed by the particles (the so-called active sites). We study the system behaviour as a function of the mole fractions of A and B in the gas phase and as a function of a new parameter S. We obtain reactive states for S > Sq where Sq is the kinetically defined percolation threshold which means existence of an infinite cluster of active sites. For S < Sq we obtain only finite clusters of active sites exist. On such a lattice all active sites are covered by A and B and no reaction takes place as t —> 00. [Pg.544]

In curves 4 the system behaviour is shown under the conditions of curves 3 but now including the effect of A-desorption, equation (9.1.42). In this case we obtain a reactive state. We observe a phase transition of the first order at y — 0.268. For Yco < U the lattice is completely occupied by particles B. A phase transition point y2 does not exist but we obtain a smooth transition over a wide range of kco Due to the desorption the state poisoned by A does not exist. [Pg.547]

Let us study now a stochastic model for the particular a+ib2 -> 0 reaction with energetic interactions between the particles. The system includes adsorption, desorption, reaction and diffusion steps which depend on energetic interactions. The temporal evolution of the system is described by master equations using the Markovian behaviour of the system. We study the system behaviour at different values for the energetic parameters and at varying diffusion and desorption rates. The location and the character of the phase transition points will be discussed in detail. [Pg.577]

To demonstrate this, in Section 9.2.2 we have studied a stochastic model for an extended ZGB-model including diffusion, desorption and energetic interactions as additional steps. We have used different values of the diffusion and the desorption rates and different values for the energetic parameters. In the case of repulsive interactions the system s behaviour is strongly influenced by. Eaa for large values of Yqo and by for small values of kco-The former parameter leads to a smooth phase transition at yi and the latter to a sharp transition at 2/1 The sharpness and the location of the phase transitions depend also on the diffusion and desorption rate of the A particles. The A-diffusion leads to an increase of the value of 2/2 due to the higher reactivity of the A particles. At lower values of Yco the system behaviour is nearly not influenced by the diffusion. The A-desorption increases the values of the critical points and smoothes the phase transition at 2/2- This effect becomes very important if Ca is large. [Pg.590]

The curves shown in Fig. 81 are quite similar to those observed in the case of fracture of aryl-aliphatic polyamides (Sect. 5.3). However, in the latter system, a large range of MWs and chemical structures are available, allowing a detailed analysis of the observed behaviours. For these reasons, the analysis of fracture results for BPA-PC takes advantage of those on aryl-aliphatic polyamides. [Pg.313]

There are examples when t2, t 2 slow relaxations take place without bifurcations. So far, complete characteristics of these slow relaxations in terms of the limit behaviour for a dynamic system (that is dependent on the parameters) has not been obtained. Only some of the additional sufficient conditions have been defined. [Pg.374]

We now consider the general case and show how reversible and irreversible systems are limiting cases of the general behaviour. For simplicity, we assume that D0 = DK(p = 1). Thus (6.6) becomes... [Pg.111]

On the other hand, the voltammograms observed with the O/W interface showed quite different features. As shown in Figure 8.4B, the positive-current peak was depressed significantly by lowering [Fc]o, suggesting the existence of a kinetically controlled process. Such a difference in the voltammetric behaviour between the ECSOW and O/W systems is due to the fact that no IT can take place in the ECSOW system. The voltammetric behaviour for the O/W interface shown in Figure 8.4B can be elucidated in terms of the IT mechanism described below. [Pg.176]

In curve 4 we have Eaa = Eab = 1 This results in a smooth transition at y2 for the A-density (caused by Eaa) and a phase transition at y at large values of Yco (caused by Eab)- The parameter Eaa is important for large values of CaCi.c., for large values of Vco) and Eab dominates the system behaviour at large values of Cb (i-e., for small values of Vco)-... [Pg.581]

RAST was implied using Wilson mode) for activity coefficients and, as sliown on figure 2.b, it successfully predict the azeotropic behaviour for the system considered. However in care of TOL-containing mixtures, experimentally determined activity coefficients could not be fitted over the whole adsorbed phase composition range with only a two adjustable parameters model. [Pg.263]

Benson has interpreted the general features of the kinetic behaviour for the gas phase pyrolysis af organic iodides by proposing two steps which can be rate-limiting in these systems... [Pg.186]

When such a system is oriented, where y corresponds to the angle between Q and the cylindrical axis, two specific cases can be defined for the scattering behaviour. For the first, where the vector Q is parallel to the cylindrical axis (y = 0) the scattering will be only a function of the axial length. Thus for a single isolated cylinder... [Pg.464]


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