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Rate equations steady state distribution

The evaluative fugacity model equations and levels have been presented earlier (1, 2, 3). The level I model gives distribution at equilibrium of a fixed amount of chemical. Level II gives the equilibrium distribution of a steady emission balanced by an equal reaction (and/or advection) rate and the average residence time or persistence. Level III gives the non-equilibrium steady state distribution in which emissions are into specified compartments and transfer rates between compartments may be restricted. Level IV is essentially the same as level III except that emissions vary with time and a set of simultaneous differential equations must be solved numerically (instead of algebraically). [Pg.181]

Figure 9.16 Kinetic fractionation during crystal growth. Steady-state distribution of melt concentrations in the vicinity of a solid growing at the rate v for trace elements with different solid-liquid fractionation coefficients [equation (9.6.5), Tiller et al. (1953)]. The stippled area indicates the steady-state chemical boundary-layer with thickness <5 = <5>/v. Figure 9.16 Kinetic fractionation during crystal growth. Steady-state distribution of melt concentrations in the vicinity of a solid growing at the rate v for trace elements with different solid-liquid fractionation coefficients [equation (9.6.5), Tiller et al. (1953)]. The stippled area indicates the steady-state chemical boundary-layer with thickness <5 = <5>/v.
Transient Nucleation If a liquid is cooled continuously, the liquid structure at a given temperature may not be the equilibrium structure at the temperature. Hence, the cluster distribution may not be the steady-state distribution. Depending on the cooling rate, a liquid cooled rapidly from 2000 to 1000 K may have a liquid structure that corresponds to that at 1200 K and would only slowly relax to the structure at 1000 K. Therefore, Equation 4-9 would not be applicable and the transient effect must be taken into account. Nonetheless, in light of the fact that even the steady-state nucleation theory is still inaccurate by many orders of magnitude, transient nucleation is not discussed further. [Pg.339]

Whereas the observed decay profile no longer is characterized by a single decay rate, the steady-state fluorescence intensity becomes dependent on both 7obs and fc>bs. The typical Stern-Volmer plot is no longer represented by equation 7a, but rather by equation 7b, where fcobs is defined by equation 6b, fc q is the bimolecular quenching rate constant, fco is the probe s mean excited-state unimolecular decay rate constant, fcobs is the mean observed decay rate constant, 70 is the distribution parameter of the Gaussian for the unimolecular decay, and 7obs is the distribution parameter for the observed unimolecular decay rate. [Pg.233]

These time zero values can be substituted into Equation (10.231) and combined with Equation (10.202) to show that F = Fi at time zero. Another common distribution volume term is defined for the time when distributional steady-state occurs, as illustrated in Eigure 10.14. There is no net transport of drug between compartments 1 and 2 at steady-state, as the transport rates in each direction are exactly equal. At the time when this occurs, a steady-state distribution volume (F i) can be defined by the equation... [Pg.246]

These equations are called the traffic equations. Invertibility of I - P implies that these equations have a unique solution in the Suppose now that p < s , > 0 and fjL > 0 for each m = 1, 2,. . . , Af. These conditions ensure that the network is an irreducible, positive recurrent Markov chain. Jackson proved the following result The steady-state distribution of the number of jobs at each station in the Jackson network is the same as that of M independent stations, the mth being an MIMIs queue with arrival rate and service rate... [Pg.2164]

Isomerization of a stable enzyme form does not affect the algebraic form of the rate equation in the absence of products, but product inhibition patterns are modified so that the order of addition of substrates and release of products can not be determined by steady-state kinetic experiments. Rate constants for steps involving the isomerizing stable form or any central complex are not determinable, and steady-state distributions can be calculated only for non-isomerizing... [Pg.168]

Section 16.2.1). Equation (16.7) contains rate constants, the concentration of labeled reactant, the concentration of unlabeled substrates, and the enzyme form the labeled reactant reacts with. The concentration of this enzyme form must be expressed in terms of rate constants and the concentration of reactants. In chemical equilibrium, this expression is relatively simple (Eq. (16.8)). Under the steady-state conditions, when the concentration of reactants is away from equilibrium, this enzyme form must be replaced from the steady-state distribution equation, which is usually more complex (Eq. (9.13)). Therefore, the resulting velocity equations for isotope exchange away from equilibrium are usually more complex and, consequently, their practical application becomes cumbersome. [Pg.345]

Copolymer composition and monomer sequence distribution can be defined as functions of the above-mentioned conditional probabilities. The relevant equations are shown in eqns [8]-[ll]. It needs to be emphasized that eqn [8] implicitly assumes the validity of the steady-state assumption, that is, the reactions in eqns [2] and [3] occur with the same rate. This steady-state assumption will be discussed in more detail below and is mathematically presented in eqn [14] ... [Pg.434]

Transient molecular deformation and orientation in the systems subjected to flow deformation results in transient and orientation dependent crystal nucleation. Quasi steady-state kinetic theory of crystal nucleation is proposed for the polymer systems exhibiting transient molecular deformation controlled by the chain relaxation time. Access time of individual kinetic elements taking part in the nucleation process is much shorter than the chain relaxation time, and a quasi steady-state distribution of clusters is considered. TVansient term of the continuity equations for the distribution of the clusters scales with much shorter characteristic time of an individual segment motion, and the distribution approaches quasi steady state at any moment of the time scaled with the chain relaxation time. Quasi steady-state kinetic theory of nucleation in transient polymer systems can be used for elongation rates in a wide range 0 < esT C N. ... [Pg.84]

This rate equation presupposes that a quasi-steady state distribution function /(r) exists for the particle radii r. As usual, the average particle radius r is defined as ... [Pg.137]

As the cluster size increases towards a critical value, the point is approached where further addition of monomer results in the formation of a stable growth centre, and the centre is no longer involved in the steady state distribution. This can be accounted for by considering that supercritical clusters are removed and reintroduced as the equivalent amount of monomer, and solution of the set of steady state equations based on Equation (9.17) then leads to the steady state nucleation rate, /j, as... [Pg.294]

Lifshitz and Slezov on the other hand showed that in a dispersion in which grain growth was occurring according to Eq. (4) a time-independent normalized size distribution function would be approached in which the radius of the largest particles would be only 1.5 r (See Fig. 1.) From this steady-state distribution function, however, they derived an equation that predicts growth rates of the same order as Greenwood s equation, viz.. [Pg.100]

In the fast-continuous region, species populations can be assumed to be continuous variables. Because the reactions are sufficiently fast in comparison to the rest of the system, it can be assumed that they have relaxed to a steady-state distribution. Furthermore, because of the frequency of reaction rates, and the population size, the population distributions can be assumed to have a Gaussian shape. The subset of fast reactions can then be approximated as a continuous time Markov process with chemical Langevin Equations (CLE). The CLE is an ltd stochastic differential equation with multiplicative noise, as discussed in Chapter 13. [Pg.300]

Figure 5,16. It is assumed that by using an exactly symmetric cone a shear rate distribution, which is very nearly uniform, within the equilibrium (i.e. steady state) flow held can be generated (Tanner, 1985). Therefore in this type of viscometry the applied torque required for the steady rotation of the cone is related to the uniform shearing stress on its surface by a simplihed theoretical equation given as... Figure 5,16. It is assumed that by using an exactly symmetric cone a shear rate distribution, which is very nearly uniform, within the equilibrium (i.e. steady state) flow held can be generated (Tanner, 1985). Therefore in this type of viscometry the applied torque required for the steady rotation of the cone is related to the uniform shearing stress on its surface by a simplihed theoretical equation given as...
The analysis of steady-state and transient reactor behavior requires the calculation of reaction rates of neutrons with various materials. If the number density of neutrons at a point is n and their characteristic speed is v, a flux effective area of a nucleus as a cross section O, and a target atom number density N, a macroscopic cross section E = Na can be defined, and the reaction rate per unit volume is R = 0S. This relation may be appHed to the processes of neutron scattering, absorption, and fission in balance equations lea ding to predictions of or to the determination of flux distribution. The consumption of nuclear fuels is governed by time-dependent differential equations analogous to those of Bateman for radioactive decay chains. The rate of change in number of atoms N owing to absorption is as follows ... [Pg.211]

When reactants are distributed between several phases, migration between phases ordinarily will occur with gas/liquid, from the gas to the liquid] with fluid/sohd, from the fluid to the solid between hquids, possibly both ways because reactions can occur in either or both phases. The case of interest is at steady state, where the rate of mass transfer equals the rate of reaction in the destined phase. Take a hyperbohc rate equation for the reaction on a surface. Then,... [Pg.691]

In the simplest case of one-dimensional steady flow in the x direction, there is a parallel between Eourier s law for heat flowrate and Ohm s law for charge flowrate (i.e., electrical current). Eor three-dimensional steady-state, potential and temperature distributions are both governed by Laplace s equation. The right-hand terms in Poisson s equation are (.Qy/e) = (volumetric charge density/permittivity) and (Qp // ) = (volumetric heat generation rate/thermal conductivity). The respective units of these terms are (V m ) and (K m ). Representations of isopotential and isothermal surfaces are known respectively as potential or temperature fields. Lines of constant potential gradient ( electric field lines ) normal to isopotential surfaces are similar to lines of constant temperature gradient ( lines of flow ) normal to... [Pg.2]

The dependence of the in-phase and quadrature lock-in detected signals on the modulation frequency is considerably more complicated than for the case of monomolecular recombination. The steady state solution to this equation is straightforward, dN/dt = 0 Nss — fG/R, but there is not a general solution N(l) to the inhomogeneous differential equation. Furthermore, the generation rate will vary throughout the sample due to the Gaussian distribution of the pump intensity and absorption by the sample... [Pg.109]

Equations 11 and 12 are only valid if the volumetric growth rate of particles is the same in both reactors a condition which would not hold true if the conversion were high or if the temperatures differ. Graphs of these size distributions are shown in Figure 3. They are all broader than the distributions one would expect in latex produced by batch reaction. The particle size distributions shown in Figure 3 are based on the assumption that steady-state particle generation can be achieved in the CSTR systems. Consequences of transients or limit-cycle behavior will be discussed later in this paper. [Pg.5]

Steady State Population Density Distributions. Representative experimental population density distri-butions are presented by Figure 1 for two different levels of media viscosity. An excellent degree of theoretical (Equation 8) / experimental correlation is observed. Inasmuch as the slope of population density distribution at a specific degree of polymerization is proportional to the rate of propagation for that size macroanion, propagation rates are also observed to be independent of molecular weight. [Pg.382]

Constant RTD control can be applied in reverse to startup a vessel while minimizing olf-specification materials. For this form of startup, a near steady state is first achieved with a minimum level of material and thus with minimum throughput. When the product is satisfactory, the operating level is gradually increased by lowering the discharge flow while applying Equation (14.8) to the inlet flow. The vessel Alls, the flow rate increases, but the residence time distribution is constant. [Pg.525]

It is important to note however that Equation (10) assumes steady state in the Th distribution so that production truly is balanced by decay and export. It is easy to imagine a scenario after a phytoplankton bloom, when the export of POC (and " Th) has decreased or even ceased, such that the water column " Th profile would still show a deficit with respect to caused by prior high flux events. This relief deficit will disappear as " Th grows into equilibrium with on a time scale set by the " Th half-life. The magnitude by which the Th flux is over- or under-estimated depends on whether deficits are increasing or decreasing and at what rate. [Pg.476]

These rate laws are coupled through the concentrations. When combined with the material-balance equations in the context of a particular reactor, they lead to uncoupled equations for calculating the product distribution. For a constant-density system in a CSTR operated at steady-state, they lead to algebraic equations, and in a BR or a PFR at steady-state, to simultaneous nonlinear ordinary differential equations. We demonstrate here the results for the CSTR case. [Pg.168]

Note that the sensitivity of the net flux between the soil and water to the worms activities depends on the relation between the rate R and the solute concentration. For the calculations in Figures 2.13 and 2.14, R varies linearly with concentration as specified in Equation (2.40), and the flux is sensitive to worm activity. But where the rate is independent of concentration, as for NH4+ formation in Equation (2.39), the net flux, which in this case is roughly Ro/a + LRi, is necessarily independent of worm activity, though the distribution of the flux between burrows and the sediment surface and the concentration profile are not. In practice the rate will always depend to some extent on concentration. But the predictions here for the idealized steady state indicate the expected sensitivities. [Pg.44]

In a commercial unit, catalyst is added continuously resulting in an age distribution of the catalyst in the unit. Therefore, the overall ZSM-5 activity is a distribution of the ZSM-5 activities and is related to their relative ages. To calculate the average ZSM-5 activity, the residence time distribution and rate expression are integrated over time. The steady state example is given in the following equation ... [Pg.74]

Dekker et al. [170] studied the extraction process of a-amylase in a TOMAC/isooctane reverse micellar system in terms of the distribution coefficients, mass transfer coefficient, inactivation rate constants, phase ratio, and residence time during the forward and backward extractions. They derived different equations for the concentration of active enzyme in all phases as a function of time. It was also shown that the inactivation took place predominantly in the first aqueous phase due to complex formation between enzyme and surfactant. In order to minimize the extent of enzyme inactivation, the steady state enzyme concentration should be kept as low as possible in the first aqueous phase. This can be achieved by a high mass transfer rate and a high distribution coefficient of the enzyme between reverse micellar and aqueous phases. The effect of mass transfer coefficient during forward extraction on the recovery of a-amylase was simulated for two values of the distribution coefficient. These model predictions were verified experimentally by changing the distribution coefficient (by adding... [Pg.141]


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See also in sourсe #XX -- [ Pg.72 ]




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