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One-dimension diffusion

A simplified model usiag a stagnant boundary layer assumption and the one-dimension diffusion—convection equation has been used to calculate wall concentration ia an RO module. The iategrated form of this equation, the widely appHed film theory (41), is given ia equation 8. [Pg.148]

Exercise. For a particle in one dimension diffusing in a potential field according to (XI.2.4) these results reduce to... [Pg.305]

Diffusion control, one dimension Diffusion control, two dimensions Diffusion control, three dimensions Phase boundary control, two dimensions Phase boundary control, three dimensions First order (random nucleation) Nucleation and growth, two dimensions Nucleation and growth, three dimensions... [Pg.464]

Diffusion into a biofilm may be seen as directed into one dimension. Diffusion time (t) can therefore be calculated as... [Pg.293]

At times t >Teq, the wriggling motion results merely in a fluctuation around the primitive path, so the ch moves coherently in a one-dimension diffusion process, keeping its arc length constant. The macroscopic diffusion coefficient of a reptating chain scales with chain length (molecular weight) as ... [Pg.106]

Leakage of a reagent between the gel and the glass wall can greatly disturb the reaction. A technical precaution to prevent such an accident with agar gels is always used in the one dimension diffusion techniques and has been described above. [Pg.177]

Figure 4. One-dimension diffusion profdes across the boundary of two touching minerals at constant temperature and variable times. Calculations assume an initial step in 5 0 of 10 %o and a final equilibrium fractionation of A(A-B) = 0 %o. (A) Firmed boundary condition where Mineral A is modally dominant and has fast oxygen diffusion such that its 5 0 does not vary during exchange. Figure 4. One-dimension diffusion profdes across the boundary of two touching minerals at constant temperature and variable times. Calculations assume an initial step in 5 0 of 10 %o and a final equilibrium fractionation of A(A-B) = 0 %o. (A) Firmed boundary condition where Mineral A is modally dominant and has fast oxygen diffusion such that its 5 0 does not vary during exchange.
X 0 0 Formation of nuclei on power or exponential law, latter stage of linecu growing of the nuclei, one-dimension diffusion (parabola law)... [Pg.550]

If it is assumed that there is one-dimension diffusion and that the chloride ion content at the surface is constant, then a solution to Pick s second law is as follows (Luping et al., 2012) ... [Pg.283]

This equation is of the one-dimension-diffusion type and it leads to a t long time dependence of the OACF. This model is supposed to be valid only on a distance scale greater than that of the sub-chain" i.e. the smallest chain portion large enough to be gaussian. Thus, more realistic descriptions of the chain have been proposed, in order to get OACF expressions valid in the whole time and distance range of experiment s ... [Pg.202]

In the model proposed by Valeur, Jarry, Geny and Monnerie (VJGM), the chain is assumed to perform 3-bond motions on a tetrahedral lattice, to account for the fixed bond angles imposed to real backbone (22i. This model leads to a one-dimension diffusion equation for the orientation probability, with the following expression for the OACF ... [Pg.202]

STM has not as yet proved to be easily applicable to the area of ultrafast surface phenomena. Nevertheless, some success has been achieved in the direct observation of dynamic processes with a larger timescale. Kitamura et al [23], using a high-temperature STM to scan single lines repeatedly and to display the results as a time-ver.sn.s-position pseudoimage, were able to follow the difflision of atomic-scale vacancies on a heated Si(OOl) surface in real time. They were able to show that vacancy diffusion proceeds exclusively in one dimension, along the dimer row. [Pg.1681]

The rate of diffusion of the carbon atoms is given by Fick s laws of diffusion. In one dimension,... [Pg.213]

Diffusion problems in one dimension lead to boundaiy value problems. The boundaiy conditions are applied at two different spatial locations at one side the concentration may be fixed and at the other side the flux may be fixed. Because the conditions are specified at two different locations, the problems are not initial value in character. It is not possible to begin at one position and integrate directly because at least one of the conditions is specified somewhere else and there are not enough conditions to begin the calculation. Thus, methods have been developed especially for boundary value problems. [Pg.475]

In one dimension the truncation of the equations of motion has been worked out in detail [59]. This has allowed an accurate examination of the role of diffusion in desorption, and implications for the Arrhenius analysis in nonequilibrium situations. The largest deviations from the desorption kinetics of a mobile adsorbate obviously occur for an immobile adsorbate... [Pg.468]

The extension of generic CA systems to two dimensions is significant for two reasons first, the extension brings with it the appearance of many new phenomena involving behaviors of the boundaries of, and interfaces between, two-dimensional patterns that have no simple analogs in one-dimension. Secondly, two-dimensional dynamics permits easier (sometimes direct) comparison to real physical systems. As we shall see in later sections, models for dendritic crystal growth, chemical reaction-diffusion systems and a direct simulation of turbulent fluid flow patterns are in fact specific instances of 2D CA rules and lattices. [Pg.49]

Note that equations 8.105 and 8.106 effectively define a simple discrete diffusion process in one dimension the presence of a threshold condition also makes the diffusion process a nonlinear one (see below). [Pg.439]

Gill and Nunge (G 16) solved the equation for diffusion accompanied by simultaneous chemical reaction with a changing concentration of the bulk liquid. They assume a film of thickness / in which the diffusion and simultaneous reaction take place, and suppose the liquid bulk outside this film to be completely mixed and to have a constant and uniform concentration. Their partial differential equation in one dimension is... [Pg.346]

This deceleratory reaction obeyed the parabolic law [eqn. (10)] attributed to diffusion control in one dimension, normal to the main crystal face. E and A values (92—145 kJ mole-1 and 109—10,s s-1, respectively) for reaction at 490—520 K varied significantly with prevailing water vapour pressure and a plot of rate coefficient against PH2o (most unusually) showed a double minimum. These workers [1269] also studied the decomposition of Pb2Cl2C03 at 565—615 K, which also obeyed the parabolic law at 565 K in nitrogen but at higher temperatures obeyed the Jander equation [eqn. (14)]. Values of E and A systematically increased... [Pg.141]

The maintenance of product formation, after loss of direct contact between reactants by the interposition of a layer of product, requires the mobility of at least one component and rates are often controlled by diffusion of one or more reactant across the barrier constituted by the product layer. Reaction rates of such processes are characteristically strongly deceleratory since nucleation is effectively instantaneous and the rate of product formation is determined by bulk diffusion from one interface to another across a product zone of progressively increasing thickness. Rate measurements can be simplified by preparation of the reactant in a controlled geometric shape, such as pressing together flat discs at a common planar surface that then constitutes the initial reaction interface. Control by diffusion in one dimension results in obedience to the... [Pg.286]

Diffusion is the movement of mass due to a spatial gradient in chemical potential and as a result of the random thermal motion of molecules. While the thermodynamic basis for diffusion is best apprehended in terms of chemical potential, the theories describing the rate of diffusion are based instead on a simpler and more experimentally accessible variable, concentration. The most fundamental of these theories of diffusion are Fick s laws. Fick s first law of diffusion states that in the presence of a concentration gradient, the observed rate of mass transfer is proportional to the spatial gradient in concentration. In one dimension (x), the mathematical form of Fick s first law is... [Pg.29]

This is Fick s second law of diffusion, the equation that forms the basis for most mathematical models of diffusion processes. The simple form of the equation shown above is applicable only to diffusion in one dimension (x) in systems of rectangular geometry. The mathematical form of the equation becomes more complex when diffusion is allowed to occur in more than one dimension or when the relationship is expressed in cylindrical or spherical coordinate geometries. Since the simple form shown above is itself a second-order partial differential equation, the threat of added complexity is an unpleasant proposition at best. [Pg.31]

This is a generalized mass balance equation in one dimension. If diffusion and convection occur in other directions, the generalized mass balance equation becomes... [Pg.45]

The choice of vx is a matter of convenience for the system of interest. Table 1 summarizes the various definitions of vx and corresponding, /Y, commonly in use [3], The various diffusion coefficients listed in Table 1 are interconvertible, and formulas have been derived. For polymer-solvent systems, the volume average velocity, vv, is generally used, resulting in the simplest form of Jx,i- Assuming that this vv = 0, implying that the volume of the system does not change, the equation of continuity reduces to the common form of Fick s second law. In one dimension, this is... [Pg.459]

An important technical development of the PFG and STD experiments was introduced at the beginning of the 1990s the Diffusion Ordered Spectroscopy, that is DOSY.69 70 It provides a convenient way of displaying the molecular self-diffusion information in a bi-dimensional array, with the NMR spectrum in one dimension and the self-diffusion coefficient in the other. While the chemical-shift information is obtained by Fast Fourier Transformation (FFT) of the time domain data, the diffusion information is obtained by an Inverse Laplace Transformation (ILT) of the signal decay data. The goal of DOSY experiment is to separate species spectroscopically (not physically) present in a mixture of compounds for this reason, DOSY is also known as "NMR chromatography."... [Pg.195]

Diffusion problems in one dimension lead to boundary value problems. The boundary conditions are applied at two different spatial... [Pg.51]

That volume bounded by the distance away from the electrode over which a redox-active species can diffuse to the electrode surface, within the timescale of the experiment being undertaken. From considerations of random walk in one dimension it can be shown that the distance / which a species moves in a time / is given by ... [Pg.173]


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