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Modeling constants

The models presented correctly predict blend time and reaction product distribution. The reaction model correctly predicts the effects of scale, impeller speed, and feed location. This shows that such models can provide valuable tools for designing chemical reactors. Process problems may be avoided by using CFM early in the design stage. When designing an industrial chemical reactor it is recommended that the values of the model constants are determined on a laboratory scale. The reaction model constants can then be used to optimize the product conversion on the production scale varying agitator speed and feed position. [Pg.807]

A j, = Model constant for reaction n C = Concentration of species i (mole m ) k = Turbulent kinetic energy density (m s )... [Pg.810]

Keeping the concentration ratio of H20 and CO in the simulation model constant (according to the Thiele modulus see Equation 12.21) leads to equal concentration profiles of H2, as shown in Figure 12.4, and consequently to equal effectiveness factors for both methods (Thiele modulus and simulation). In fact, the concentrations of H2, CO, and H20 change inside the pore, as considered in the simulation. Therefore, the results obtained by the software used represent reality best. [Pg.226]

Using the definition for the turbulent viscosity (jit — /An /xmoi), which gives a result similar to the standard k-s model with only a small difference in the modeling constant, the effective viscosity is now defined as a function of k and s in Eq. (16) in algebraic form. [Pg.320]

Note that it is not necessary to use the IEM model for (rV2<(/ i//). For example, a non-linear expression could be employed (Pope and Ching 1993 Ching 1996 Warhaft 2000). However, the linear form of the IEM model greatly simplifies the determination of the model constants. [Pg.295]

The Kalecki modified schema retains the key characteristics of the Grossmann model. Constant capital still grows at 10 per cent each year compared to 5 per cent for variable capital, and this requires a steady increase in the proportion of profits saved, from 25 per cent in year 1 to 65.4 per cent in year 35. Also in keeping with the Grossmann model, the rate of profit steadily falls over time, from 33.3 per cent in year 1 to 14.6 per cent in year 35. The difference, however, is that capitalist consumption is not treated as a residual, dependent upon the amount of profits that happen to remain after the prior commitments of capital accumulation. In Table 7.2, capitalist consumption is modelled as an active component in the model, providing an important driver in the generation of profits, as capitalists cast money into circulation. [Pg.83]

A Simplified Double Layer Model (Constant Capacitance)... [Pg.56]

The gas-uptake data for rats were well described using a single Michaelis-Menten equation to describe metabolism. For the mouse inhalation studies, a simple Michaelis-Menten equation failed to adequately describe the chloroform-metabolizing capacity based on the data collected and model constants. The authors suspected that, following the administration of chloroform (particularly at higher concentrations), destmction of microsomal enzymes and subsequent resynthesis of microsomal enzymes was important in the mouse. This phenomenon has been documented in phenobarbital-induced but not naive rats. To account for this phenomenon, a first-order rate constant for the loss and subsequent regeneration of metabolic capacity was incorporated into the model for mice only. [Pg.129]

The eddy kinematic viscosity i/ is expressed according to the k e model as 1/ = where is the k-e model constant. [Pg.227]

The model constants are the product CR2 and Vmax. Fmax is typically in the 0.7-0.9 range, depending on the type of fabric, and it corresponds to a maximum achievable fiber volume fraction that results in complete loss of flow in the slow-flow direction. [Pg.366]

C Model constant in Gebart s permeability model and in Equation 12.10 [dimensionless] Fmax Model constant in Gebart s permeability model [dimensionless]... [Pg.385]

Now in the crystal lattice there will be more interactions than the simple one in an ion pair. In the sodium chloride lattice, for example, there are attractions to the six nearest neighbors of opposite charge, repulsions by the twelve next nearest neighbors of like charge, etc. The summation of all of these geometrical interactions is known as the Modelling constant, A. The energy of a pair of ions in the crystal is then ... [Pg.62]

Constant voltage Combined model Constant current... [Pg.285]

Table 11.2 Carreau and Arrhenius model constants for the Coupled Heat Transfer Flow Problem... Table 11.2 Carreau and Arrhenius model constants for the Coupled Heat Transfer Flow Problem...
Here, M is the molecular weight of species i and is an empirically determined model constant for reaction n. In this reaction system, o, is +1 for reactants and -1 for products. K is the kinetic rate constant of the reaction. [Pg.797]

This is the reaction system used by Bourne et al. [3] and Middleton et al. [4], The first reaction is much faster than the second reaction Kx = 7,300 m3 mole-1 sec 1 versus K2 = 3.5 m3 mole-1 sec-1. The experimental data published by Middleton et al. [4] were used to determine the model constant A. Two reactors were studied, a 30-1 reactor equipped with a D/T = 1/2 D-6 impeller and a 600-1 reactor with a D/T = 1/3 D-6 impeller. A small volume of reactant B was instantaneously added just below the liquid surface in a tank otherwise containing reactant A. A and B were added on an equimolar basis. The transport, mixing, and reaction of the chemical species were then calculated based on the flow pattern in Figure 10-3. Experimental data were used as impeller boundary conditions. The product distribution Xs is then calculated as ... [Pg.797]

The results of prognostic modeling depend on numerous factors such as the completeness of the processes considered in the model, the parameterization of subgrid processes that are not reproduced explicitly, the quality of the numerical approximation of the model equations, the spatial and temporal resolutions in the calculation domain, and the reliability of the initial and boundary conditions and model constants. [Pg.186]


See other pages where Modeling constants is mentioned: [Pg.672]    [Pg.2547]    [Pg.14]    [Pg.347]    [Pg.247]    [Pg.291]    [Pg.134]    [Pg.135]    [Pg.135]    [Pg.145]    [Pg.155]    [Pg.390]    [Pg.133]    [Pg.146]    [Pg.160]    [Pg.227]    [Pg.227]    [Pg.369]    [Pg.385]    [Pg.143]    [Pg.678]    [Pg.158]    [Pg.580]    [Pg.47]    [Pg.200]    [Pg.178]    [Pg.471]   
See also in sourсe #XX -- [ Pg.148 , Pg.149 ]




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