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Concentration variation

If mixing quaHty better than 95% is desired, the blend time can be estimated using a variance decay model for ampHtude of concentration variation ... [Pg.427]

Volumetric heat generation increases with temperature as a single or multiple S-shaped curves, whereas surface heat removal increases linearly. The shapes of these heat-generation curves and the slopes of the heat-removal lines depend on reaction kinetics, activation energies, reactant concentrations, flow rates, and the initial temperatures of reactants and coolants (70). The intersections of the heat-generation curves and heat-removal lines represent possible steady-state operations called stationary states (Fig. 15). Multiple stationary states are possible. Control is introduced to estabHsh the desired steady-state operation, produce products at targeted rates, and provide safe start-up and shutdown. Control methods can affect overall performance by their way of adjusting temperature and concentration variations and upsets, and by the closeness to which critical variables are operated near their limits. [Pg.519]

As the Nemst equation suggests, concentration variations in the electrolyte lead to potential differences between electrodes of the same kind. These potential differences are concentration polarizations or concentration overpotentials. Concentration polarizations can also affect the current distribution. Predicting these is considerably more difficult. If concentration gradients exist, equations 25 and 27 through 29 must generally be solved simultaneously. [Pg.67]

VI. Concentration Variation with Averaging Time References... [Pg.579]

As the corrosion rate, inclusive of local-cell corrosion, of a metal is related to electrode potential, usually by means of the Tafel equation and, of course, Faraday s second law of electrolysis, a necessary precursor to corrosion rate calculation is the assessment of electrode potential distribution on each metal in a system. In the absence of significant concentration variations in the electrolyte, a condition certainly satisfied in most practical sea-water systems, the exact prediction of electrode potential distribution at a given time involves the solution of the Laplace equation for the electrostatic potential (P) in the electrolyte at the position given by the three spatial coordinates (x, y, z). [Pg.239]

Since concentration variations have measurable effects on the cell voltage, a measured voltage cannot be interpreted unless the cell concentrations are specified. Because of this, chemists introduce the idea of standard-state. The standard state for gases is taken as a pressure of one atmosphere at 25°C the standard state for ions is taken as a concentration of 1 M and the standard state of pure substances is taken as the pure substances themselves as they exist at 25°C. The half-cell potential associated with a halfreaction taking place between substances in their standard states is called ° (the superscript zero means standard state). We can rewrite equation (37) to include the specifications of the standard states ... [Pg.210]

Concentration fluctuation, in the double layer, 267 of metal ions in the double layer, 274 Concentration variation of diffusion layer, 270... [Pg.628]

The nature and causes of the atmospheric CO2 concentration variations on different time scales are very interesting and only partially understood. The "anthropogenic transient" has been... [Pg.478]

The ionic strength dependence of intrinsic viscosity is function of molecular structure and protein folding, ft is well known that the conformational and rheological properties of charged biopolymer solutions are dependent not only upon electrostatic interactions between macromolecules but also upon interactions between biopolymer chains and mobile ions. Due electrostatic interactions the specific viscosity of extremely dilute solutions seems to increase infinitely with decreasing ionic concentration. Variations of the intrinsic viscosity of a charged polyampholite with ionic strength have problems of characterization. [Pg.102]

The effect of nitrogen concentration variation on laminar flame speed was also experimentally studied at... [Pg.41]

A model must be introduced to simulate fast chemical reactions, for example, flamelet, or turbulent mixer model (TMM), presumed mapping. Rodney Eox describes many proposed models in his book [23]. Many of these use a probability density function to describe the concentration variations. One model that gives reasonably good results for a wide range of non-premixed reactions is the TMM model by Baldyga and Bourne [24]. In this model, the variance of the concentration fluctuations is separated into three scales corresponding to large, intermediate, and small turbulent eddies. [Pg.344]

The original ASM2d model was modified with the parameter that expresses pH effect and the processes related to glycogen and GAOs. The performance of the modified model was tested with experimental result of lab scale SBRs. The simulation result could describe the experimental result properly. The concentration variation of PAOs and GAOs was predicted by the modified model under different pH conditions. [Pg.404]

In this work, the MeOH kinetic model of Lee et al. [9] is adopted for the micro-channel fluid dynamics analysis. Pressure and concentration distributions are investigated and represented to provide the physico-chemical insight on the transport phenomena in the microscale flow chamber. The mass, momentum, and species equations were employed with kinetic equations that describe the chemical reaction characteristics to solve flow-field, methanol conversion rate, and species concentration variations along the micro-reformer channel. [Pg.645]

Hydrodynamics-calculation method forsystemresponseon arbitrary concentration variation... [Pg.362]

It follows from this equation that ac passing through the solution gives rise to periodic concentration variations having the same frequency and reaching out from the electrode into the bulk solution with an amplitude decreasing in proportion to exp(-2D/co) (i.e., faster the higher the ac frequency). [Pg.187]

Evaporation temperature, c Ag atoms flow intensity, isotope method, atoms s l Current carrier concentration variation rate in the film, semiconductor sensor method, Vg- 10 , electrons s Ve... [Pg.191]

Highest sensitivity to local concentration variations is achieved when the probe size is matched to the pixel size of the map. Figure 5.24(A) is a high magnification map of an edge-on grain boundary with 64 x 64 pixels, acquired at 2 MX with a probe size of 1 nm FWTM and a probe current of 0.5 nA. With a dwell time of 200 ms per pixel, the total frame time for this map was 0.5h. [Pg.164]

VCD and FTIR spectra should always be obtained on the same samples, the FTIR at higher resolution and optimized S/N to permit computation of deconvolved (resolution-enhanced) spectra (Kauppinen etal., 1981). VCD spectra of biomolecules are often normalized to the absorbance, since concentration and path lengths are rarely known to good accuracy. Because the absorbance coefficients for different molecules will vary, this is only an approximate correction for concentration variation. [Pg.145]

The usefulness of continental dust concentration variations in dating snow from the Antarctic plateau is unclear. Boutron [11] found an insignificant variance in A1 concentrations as a function of depth at South Pole, while Thompson and Thompson [24] found an annual peak in microparticle concentrations. [Pg.309]

Na+ concentrations confirms their common marine origin. However, the concentration variations with depth are much less clear than the sinusoidal oscillations at J-9. At Station Q-13, only 70 km... [Pg.309]

In summary, a number of chemical constituents in polar snow and ice have seasonal concentration variations that make them suitable for dating ice cores by counting annual layers. In... [Pg.316]

The Hg concentration variations within fungal tissues (Fig. 1) also follow a rather complex pattern (Table 3). For example, Cortinarius, Bankera, Cantharelius and Lactarius accumulate more Hg than what can be accounted for by variables such as (1) the systematic stalk versus cap differences, (2) the reductions of the Hg concentrations from the emerging to the over-mature mushroom stage, (3) the C, Hg and S contents in the L, F, H, A layers, (4) the reduction of Hg uptake from soils with high S levels, (5) the increased Hg uptake from soils with high Hg concentrations,tempered by increased C concentrations. [Pg.246]


See other pages where Concentration variation is mentioned: [Pg.2536]    [Pg.1425]    [Pg.2213]    [Pg.315]    [Pg.315]    [Pg.323]    [Pg.629]    [Pg.202]    [Pg.414]    [Pg.188]    [Pg.191]    [Pg.318]    [Pg.108]    [Pg.520]    [Pg.844]    [Pg.305]    [Pg.307]    [Pg.307]    [Pg.309]    [Pg.309]    [Pg.14]    [Pg.488]   
See also in sourсe #XX -- [ Pg.122 ]




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Activity coefficients variation with concentration

Aluminum concentrations, variation

Atmospheric concentration, variations

Carbon dioxide concentration, variation

Component concentration ratio variation

Dielectric constant variation with concentration

Enzyme kinetics substrate concentration variation

Nitrogen species concentration variations

Plasma drug concentration variation

Polarization variation with concentration

Precursor concentration, variation

Seasonal concentration variations

Seasonal variations, water arsenic concentration

Spatial variation of concentration

Surface tension variation with concentration

The variation of concentration with time

Transference number variation with concentration

Variation of molar conductivity with concentration

Variation of the gyration swelling with concentration

Variation of the screening length with concentration

Variation with concentration

Variations in Temperature and Concentration

Velocity, ionic variation with concentration

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