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Time Dependence—The Transient Approach to Steady State

Time Dependence —The Transient Approach to Steady State [Pg.479]


Time Dependence—The Transient Approach to Steady-State and Saturation Kinetics... [Pg.392]

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]

Discussions of relaxation kinetics (see section 6.2) and of transient kinetics, often contain the following general statements. In principle the relaxation spectrum of a reaction contains the necessary information to evaluate all the rate constants of the elementary steps of the reaction. Similarly one can state that in principle the time profile, and its concentration dependence, of the appearance of products during the transient approach to the steady state, contains all the information for the evaluation of the individual rate constants of the formation and interconversion of intermediates. However, in both cases there are important limitations. The theoretical limitations are that the degeneracy of the sequential time constants and the position of the rate limiting step within the sequence of events can reduce the information contents, even if the record of the reaction has an unlimited signal to noise ratio. In real life, noise and restricted time resolution further reduce the number of steps which can be resolved in any particular experiment. The time resolution of different... [Pg.143]

So far, examples to illustrate experimental methods for following the time course of the approach to steady states and of their kinetic interpretation have been restricted to enzymes which do not have a natural chromophore attached to the protein although reference has been made to the classic studies of Chance with peroxidase (see p. 142). Qearly the application of these techniques to the study of enzymes with built in chromophores, such as the prosthetic groups riboflavine, pyridoxal phosphate or haem, contributed considerably to the elucidation of reaction mechanisms. However, the progress in the identification of the number and character of intermediates depended more on the improvements of spectral resolution of stopped-flow equipment than on any kinetic principles additional to those enunciated above. This is illustrated, for instance, by the progress made between the first transient kinetic study of the flavoprotein xanthine oxidase by Gutfreund Sturtevant (1959) and the much more detailed spectral analysis of intermediates by Olson et al. (1974) and Porras, Olson Palmer (1981). [Pg.169]

We have seen that there can be two stable steady states, one at a low temperature corresponding to quench conditions and the other at a high temperature corresponding to ignition conditions. An important consideration is the approach to the steady state, for that would determine the fate of a reaction. Thus, if we started at any initial condition, will the reaction approach one of the steady states, and if so how quickly Alternatively, if we started the reaction at a condition close to a stable steady state, will it approach that steady state To answer these questions we must modify the steady-state mass and heat balance equations to include a time-dependent component. The resulting transient equations are... [Pg.411]

An important consideration in reactor operation is the time dependence of MSS, that is, the transients that develop during start-up or shutdown. Qualitative curves of versus time for an adiabatic CSTR are shown in Figure 13.11 for a simple first-order irreversible reaction. Note that the system converges to the upper or lower steady state (A a,ss,u or A a ssj)-Any apparent approach to the middle unsteady steady state is deceptive because it quickly turns to either of the extreme steady states. The behavior is identical with respect to temperature. [Pg.413]

Evidently the effect of the label change will be to increase the number density of labeled particles in the primary cell near the x=L boundary relative to that near the x = 0 boundary. In the long time limit, it is expected that the system will approach a one-dimensional steady state, in which a self-diffusion current ji of labeled particles will flow in the —e direction independent of r and t. The calculation depends on the establishment of this steady state and is to be contrasted with the use of an initial nonequilibrium ensemble in which one might study the number density and current as transients. Here the number density and current are to be evaluated as time averages, beginning at such a time that initial transients have vanished. [Pg.23]

The solution of time-independent (or steady state) differential equations is often more difficult than that of time-dependent (or transient) equations. One practical approach for a steady state equation is to solve the transient problem and allow it to proceed to steady state to obtain the steady state solution. Problems of heat transfer and diffusion may be treated in this way. The similarity of the Schrodinger equation and the diffusion equation suggest this approach for the Schrodinger equation. [Pg.141]

The traditional approach to understanding both the steady-state and transient behavior of battery systems is based on the porous electrode models of Newman and Tobias (22), and Newman and Tiedermann (23). This is a macroscopic approach, in that no attempt is made to describe the microscopic details of the geometry. Volume-averaged properties are used to describe the electrode kinetics, species concentrations, etc. One-dimensional expressions are written for the fluxes of electroactive species in terms of concentration gradients, preferably using the concentrated solution theory of Newman (24). Expressions are also written for the species continuity conditions, which relate the time dependence of concentrations to interfacial current density and the spatial variation of the flux. These equations are combined with expressions for the interfacial current density (heterogeneous rate equation), electroneutrality condition, potential drop in the electrode, and potential drop in the electrolyte (which includes spatial variation of the electrolyte concentration). These coupled equations are linearized using finite-difference techniques and then solved numerically. [Pg.311]

Another consequence of the solvent s presence on the rate of reactant diffusion towards (and away from) each other is that solvent has to be squeezed out of ( sucked into ) the intervening space between the reactants. Because this takes time, the approach (or separation) of reactants is slowed. Effectively, the solvent diffusion coefficient is reduced at distances of separation between reactants from one to several solvent diameters. Figure 38 (p. 216) shows the diffusion coefficient as a function of reactant separation distances. This effect is known as hydrodynamic repulsion and it more than cancels the net increase of reaction rate due to the potential of mean force. It is discussed further in Chap. 8 Sect. 2.5 and Chap. 9 Sect. 3. Both the steady-state and transient terms in the rate coefficient depend on these effects. [Pg.43]

Steady state kinetic measurements on an enzyme usually give only two pieces of kinetic data, the KM value, which may or may not be the dissociation constant of the enzyme-substrate complex, and the kcM value, which may be a microscopic rate constant but may also be a combination of the rate constants for several steps. The kineticist does have a few tricks that may be used on occasion to detect intermediates and even measure individual rate constants, but these are not general and depend on mechanistic interpretations. (Some examples of these methods will be discussed in Chapter 7.) In order to measure the rate constants of the individual steps on the reaction pathway and detect transient intermediates, it is necessary to measure the rate of approach to the steady state. It is during the time period in which the steady state is set up that the individual rate constants may be observed. [Pg.77]

In the emulsion phase/packet model, it is perceived that the resistance to heat transfer lies in a relatively thick emulsion layer adjacent to the heating surface. This approach employs an analogy between a fluidized bed and a liquid medium, which considers the emulsion phase/packets to be the continuous phase. Differences in the various emulsion phase models primarily depend on the way the packet is defined. The presence of the maxima in the h-U curve is attributed to the simultaneous effect of an increase in the frequency of packet replacement and an increase in the fraction of time for which the heat transfer surface is covered by bubbles/voids. This unsteady-state model reaches its limit when the particle thermal time constant is smaller than the particle contact time determined by the replacement rate for small particles. In this case, the heat transfer process can be approximated by a steady-state process. Mickley and Fairbanks (1955) treated the packet as a continuum phase and first recognized the significant role of particle heat transfer since the volumetric heat capacity of the particle is 1,000-fold that of the gas at atmospheric conditions. The transient heat conduction equations are solved for a packet of emulsion swept up to the wall by bubble-induced circulation. The model of Mickley and Fairbanks (1955) is introduced in the following discussion. [Pg.506]

The use of galvanostatic transients enabled the measurement of the poten-tiodynamic behavior of Li electrodes in a nearly steady state condition of the Li/film/solution system [21,81], It appeared that Li electrodes behave potentio-dynamically, as predicted by Eqs. (5)—(12), Section III.C a linear, Tafel-like, log i versus T dependence was observed [Eq. (8)], and the Tafel slope [Eq. (10)] could be correlated to the thickness of the surface films (calculated from the overall surface film capacitance [21,81]). From measurements at low overpotentials, /o, and thus the average surface film resistivity, could be measured according to Eq. (11), Section m.C [21,81], Another useful approach is the fast measurement of open circuit potentials of Li electrodes prepared fresh in solution versus a normal Li/Li+ reference electrode [90,91,235], While lithium reference electrodes are usually denoted as Li/Li+, the potential of these electrodes at steady state depends on the metal/film and film/solution interfaces, as well as on the Li+ concentration in both film and solution phases [236], However, since Li electrodes in many solutions reach a steady state stability, their potential may be regarded as quite stable within reasonable time tables (hours —> days, depending on the system s surface chemistry and related aging processes). [Pg.344]

Fig. 5.2 Comparison of creep behavior and time-dependent change in fiber and matrix stress predicted using a 1-D concentric cylinder model (ROM model) (solid lines) and a 2-D finite element analysis (dashed lines). In both approaches it was assumed that a unidirectional creep specimen was instantaneously loaded parallel to the fibers to a constant creep stress. The analyses, which assumed a creep temperature of 1200°C, were conducted assuming 40 vol.% SCS-6 SiC fibers in a hot-pressed SijN4 matrix. The constituents were assumed to undergo steady-state creep only, with perfect interfacial bonding. For the FEM analysis, Poisson s ratio was 0.17 for the fibers and 0.27 for the matrix, (a) Total composite strain (axial), (b) composite creep rate, and (c) transient redistribution in axial stress in the fibers and matrix (the initial loading transient has been ignored). Although the fibers and matrix were assumed to exhibit only steady-state creep behavior, the transient redistribution in stress gives rise to the transient creep response shown in parts (a) and (b). After Wu et al 1... Fig. 5.2 Comparison of creep behavior and time-dependent change in fiber and matrix stress predicted using a 1-D concentric cylinder model (ROM model) (solid lines) and a 2-D finite element analysis (dashed lines). In both approaches it was assumed that a unidirectional creep specimen was instantaneously loaded parallel to the fibers to a constant creep stress. The analyses, which assumed a creep temperature of 1200°C, were conducted assuming 40 vol.% SCS-6 SiC fibers in a hot-pressed SijN4 matrix. The constituents were assumed to undergo steady-state creep only, with perfect interfacial bonding. For the FEM analysis, Poisson s ratio was 0.17 for the fibers and 0.27 for the matrix, (a) Total composite strain (axial), (b) composite creep rate, and (c) transient redistribution in axial stress in the fibers and matrix (the initial loading transient has been ignored). Although the fibers and matrix were assumed to exhibit only steady-state creep behavior, the transient redistribution in stress gives rise to the transient creep response shown in parts (a) and (b). After Wu et al 1...
Using this thin sample sweep-out approach, the np product obtained from steady-state photoconductivity exhibits a temperature dependence in agreement with fast transient photoconductivity data obtained in the sub-ns time regime [203]. As the film thickness is increased, an activated temperature dependence emerges. The crossover from T-independent p to activated p occurs when the transit time across the film is comparable to the time required for deep trapping. At longer times (thicker films), the mobility becomes trap-dominated with an activated T-dependence. [Pg.152]

The relationship between the transient and stationary approaches to the relaxation times has been considered by Eigen and de Maeyer. For any chemical equilibrium a system of nonhomogeneous differential equations which represent the rates of concentration change may be set up. The complete solution of the system is the sum of two solutions. One of these depends on the initial conditions of the dependent variables and upon the forcing function (the transient solution), while the other depends on the differential equation system and on the forcing function (the forced solution). The latter does not depend on the initial conditions of concentration, etc. The step-function methods for studying chemical relaxation experimentally determine the transient behaviour, while the stationary methods determine the steady-state behaviour. [Pg.138]

Amphlett and Denuault (11) have formulated a time-dependent SECM problem based on the same ideas (i.e., the simulation space is expanded beyond the edge of the insulating sheath and diffusion from behind the shield is taken into account). The steady-state responses were calculated as a longtime limit of the tip transient currents. These authors also obtained two equations describing SECM approach curves for a pure positive and negative feedback. The equation for a diffusion-controlled positive feedback is identical to Eq. (30) (this is not surprising because both equations are based on the same approximate expression from Ref. 9). The parameters reported in Ref. 11 for RG = 10.2 and 1.51 are quite close to those obtained in Ref. 7... [Pg.156]

Time-dependent Catalytic Activity - The strong variation of activity as a function of time on stream is a typical feature of the methane combustion reaction on most Pd catalysts. Several different transient phenomena have been reported. In some cases, the activity is initially low, or even zero, but then it increases with time on stream. In other cases, the activity starts high but then it drops to a lower steady state value. The approach to the steady state has also been found to vary greatly. In some cases, it reaches a relatively constant value in a few minutes. In other cases, the activity still changes after several hours on stream. [Pg.5]


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Approach to the Steady State

State dependency

State-dependent

Steady-state approach

The Steady State

Time Dependence - The Transient Approach to Steady-State and Saturation Kinetics

Time to approach steady state

Time to steady state

Time-dependent states

Transient state

Transient time

Transient time dependence

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