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Conditional diffusion

Diffusion is important in reactors with unmixed feed streams since the initial mixing of reactants must occur inside the reactor under reacting conditions. Diffusion can be a slow process, and the reaction rate will often be limited by diffusion rather than by the intrinsic reaction rate that would prevail if the reactants were premixed. Thus, diffusion can be expected to be important in tubular reactors with unmixed feed streams. Its effects are difficult to calculate, and normal design practice is to use premixed feeds whenever possible. [Pg.269]

In transported PDF methods (Pope 2000), the closure model for A, V, ip) will be a known function26 ofV. Thus, (U,Aj) will be closed and will depend on the moments of U and their spatial derivatives.27 Moreover, Reynolds-stress models derived from the PDF transport equation are guaranteed to be realizable (Pope 1994b), and the corresponding consistent scalar flux model can easily be found. We shall return to this subject after looking at typical conditional acceleration and conditional diffusion models. [Pg.273]

We shall see in the next section that the conditional-diffusion closure may contribute an additional dissipation term. However, since at high Reynolds numbers die velocity and scalar fields should be locally isotropic, this term will be negligible. [Pg.278]

In this manner, the non-relaxing property of the IEM model is avoided, and a(f, f) can be chosen such that the limiting mixture-fraction PDF is Gaussian. Indeed, from DNS it is known that the conditional diffusion for the mixture fraction has a non-linear form that varies with time (see Fig. 6.2). In the GIEM model, this behavior is modeled by... [Pg.286]

Some of the models for the conditional diffusion presented in Section 6.6 can be used directly to close the right-hand side of (6.173). For example, the IEM model in (6.84) yields the Lagrangian IEM (LIEM) model. With the LIEM, the drift and diffusion coefficients... [Pg.315]

The mathematical properties of the above function r 4 ) indicate that, when 0 < 0.2, t is close to unity. Under such conditions, there would be no diffusional resistance to reaction. On the other hand, when 0 > 5, 7 = 1/0 is a good approximation and for such conditions, diffusion is the rate-limiting process. [Pg.157]

Recently there has emerged the beginning of a direct, operational link between quantum chemistry and statistical thermodynamic. The link is obtained by the ability to write E = V Vij—namely, to write the output of quantum-mechanical computations as the standard input for statistical computations, It seems very important that an operational link be found in order to connect the discrete description of matter (X-ray, nmr, quantum theory) with the continuous description of matter (boundary conditions, diffusion). The link, be it a transformation (probably not unitary) or other technique, should be such that the nonequilibrium concepts, the dissipative structure concepts, can be used not only as a language for everyday biologist, but also as a tool of quantitation value, with a direct, quantitative and operational link to the discrete description of matter. [Pg.98]

The left side summarizes the enzyme-dependent terms turnover number kcat and surface concentration renz- In case of enzyme-loaded films, renz should be replaced by the product of enzyme volume concentration in the film and the film thickness. The right side summarizes the experimental conditions diffusion coefficient D, concentration c of the mediator, and UME radius rT. The feedback mode always requires an as small as possible working distance d. The smaller the UME the more difficult it will be to detect the activity of the immobilized enzyme. [Pg.919]

Thus, the generation of profiles under laboratory conditions, i.e. the simulation of the fluorine uptake, is possible. Furthermore, the fluorine profile reacts to different parameters of a very simple artificial system provided in the laboratory. Although it could be shown that in an undisturbed system under laboratory conditions, diffusion indeed is the most important of many relevant mechanisms for fluorine uptake into bone [103], in experimental work the above conditions are unlikely to be fulfilled, limiting the practical realization of fluorine exposure dating... [Pg.239]

Number average molecular weights were determined in toluene using a Mechrolab high speed membrane osmometer with Schleicher and Schuell, type U.O. very dense cellophane membranes. Previous work has established that under these conditions diffusion of this type of polymer through the membrane is not detectable at molecular weights down to about 6000 (18). [Pg.83]

This idealized model does not capture all of the essential details of corrosion deposits. As indicated in Fig. 17, the influence of local chemistry within the deposit (especially pH effects) is likely to separate the corrosion site (at the material/deposit interface) from the site at which the deposit forms (deposit/ environment interface). Consequently, diffusion processes within the porous deposit must be involved if corrosion is to be sustained. Under simple steady-state conditions, diffusion can be treated simply using the Nernst diffusion layer approach i.e., the flux, J, of a species dissolving in a pore will be given by... [Pg.224]

Even under open-circuit conditions diffusion of ions across the separator causes a continuous change of cell voltage despite the reversibility of both electrodes,... [Pg.136]

What has been done so far is to consider steady-state diffusion in which neither the flux nor the concentration of diffusing particles in various regions changes with time. In other words, the whole transport process is time independent. What happens if a concentration gradient is suddenly produced in an electrolyte initially in a time-invariant equilibrium condition Diffusion starts of course, but it will not immediately reach a steady state that does not change with time. For example, the distance variation of concentration, which is zero at equilibrium, will not instantaneously hit the final steady-state pattern. How does the concentration vary with time ... [Pg.380]

The same equation was derived empirically from the experimental observations, indicating that the forward rate with respect to CO is first order and with respect to water zero order and that the forward reaction rate is proportional to the square root of the total pressure between 10 and 50 bar ( ° 60 for 1-10 bar some authors report a maximum reaction rate between 11 and 30 bar [613], [614]). Bohlbro [613] proposed a power law type rate expression (Eq. 84) which fitted well his experimental data covering a wide range of conditions, diffusion-free and diffusion-controlled, atmospheric and elevated pressure, with commercial catalysts of various particle sizes. [Pg.115]

Fig. 6 Spectral differences in mid-infrared spectra of caffeine measured under different conditions. Diffuse reflectance spectrum of the pure crystalline powder (top trace), diffuse reflectance spectrum of 1% of caffeine in KBr-powder (middle trace, intensity data for both spectra in K-M units), and absorbance spectrum as recorded using the KBr pellet technique (bottom trace). Fig. 6 Spectral differences in mid-infrared spectra of caffeine measured under different conditions. Diffuse reflectance spectrum of the pure crystalline powder (top trace), diffuse reflectance spectrum of 1% of caffeine in KBr-powder (middle trace, intensity data for both spectra in K-M units), and absorbance spectrum as recorded using the KBr pellet technique (bottom trace).
Demonstration of Non-equilibrium (2f/Zp < 0.5). Data were gathered on the same PIB coated column as above at a tenrperature of 40 C. Under these conditions, diffusion of the probes into the polymer is not expected to be instantaneous. The simulation under these conditions predicts that = (1 + Zp) and t will be reduced by the effect of non-zero Zf. The magnitude of the reduction is given by the second term of the right side of Equation 15. Since Zf is dependent on flew rate, it is possible to estimate Zf from the dependence of the peak width on the flew rate and hence, determine the size of the correction and conpare it with experimental results. This comparison should be made bearing in mind that theoretically the simulation is applicable for capillary columns and not packed columns. [Pg.40]


See other pages where Conditional diffusion is mentioned: [Pg.903]    [Pg.223]    [Pg.715]    [Pg.723]    [Pg.438]    [Pg.460]    [Pg.12]    [Pg.253]    [Pg.280]    [Pg.280]    [Pg.327]    [Pg.614]    [Pg.321]    [Pg.68]    [Pg.482]    [Pg.113]    [Pg.17]    [Pg.11]    [Pg.52]    [Pg.152]    [Pg.145]    [Pg.348]    [Pg.162]    [Pg.258]    [Pg.413]    [Pg.121]   
See also in sourсe #XX -- [ Pg.26 , Pg.248 , Pg.254 , Pg.259 , Pg.296 , Pg.308 ]

See also in sourсe #XX -- [ Pg.26 , Pg.248 , Pg.254 , Pg.259 , Pg.296 , Pg.308 ]




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Absorption diffusion cell conditions

Achieving diffusion-controlled transport conditions

Atmospheric diffusion equation boundary conditions

Boundary Condition for Particle Diffusion

Boundary conditions effective diffusivity model

Boundary conditions mass transfer, diffusion

Conditional diffusion definition

Conditional diffusion models

Conditional fluxes reaction/diffusion

Conditioned Diffusion Process

Conditions diffuse-kinetic

Conditions diffusive

Conditions of diffusion control

Diffusion Boundary conditions

Diffusion Initial condition

Diffusion equation boundary conditions

Diffusion equation time-dependent boundary conditions

Diffusion operating condition changes

Diffusion steady-state conditions

Diffusion-limited conditions

Diffusivities under equilibrium conditions

Diffusivities under transient conditions

Dirichlet boundary condition diffusion modeling

Electrode Processes Under Slow Diffusion Conditions

Kinetic Parameters Diffusion Controlled Conditions

Neutrality condition, reaction-diffusion process

Nonstationary Diffusion Under Galvanostatic Conditions

Nonstationary Diffusion to a Spherical Electrode Under Potentiostatic Conditions

Polarographic Conditions Diffusion at Mercury Drops

Resonance condition diffusion coefficient

Surface conditions, pure diffusion control

Transient diffusion boundary conditions

Transient diffusion initial conditions

Turbulent diffusivity boundary condition

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