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Free Enzymes in Flow Reactors. Substitute t = zju into the DDEs of Example 12.5. They then apply to a steady-state PFR that is fed with freely suspended, pristine enzyme. There is an initial distance down the reactor before the quasisteady equilibrium is achieved between S in solution and S that is adsorbed on the enzyme. Under normal operating conditions, this distance will be short. Except for the loss of catalyst at the end of the reactor, the PFR will behave identically to the confined-enzyme case of Example 12.4. Unusual behavior will occur if kfis small or if the substrate is very dilute so Sj Ej . Then, the full equations in Example 12.5 should be (numerically) integrated. [Pg.445]

The approach has proven to be advantageous in comparison with the conventional" method. Because the reduced equation is a special form of the Reynolds equation, a full numerical solution over the entire computation domain, including both the hydrodynamic and the contact areas, thus obtained through a unified algorithm for solving one equation system. In this way, both hydrod5mamic and con-... [Pg.121]

Full numerical solution of the above equations involves many detailed assumptions and it is not always easy to visualize the effects of these assumptions on the outcome. Therefore it is useful to consider the much simpler approach of the next section. [Pg.245]

Show that the Is orbital givien in eqn 4.22 is a solution of Schrodinger s equation for the hydrogen atom with the correct ground-state energy, either by substitution into the radial equation (eqn 4.19), or, if you are feeling brave, by substitution into the full equation (eqn 4.17). You will find the latter method distinctly harder, and will need to use the result, applicable to any function /which depends on r only,... [Pg.69]

Equation 16 tends to underestimate the number of particles except during the earliest few seconds of reaction, but serves as an extremely useful predictor for assessing the effect of experimental variables on the number of primary particles formed as a function of time. In Figure 3 are shown some calculations for styrene polymerization in which results from this approximative equation (curves A) are compared to those for the full numerical solution (curves C) at two values for jcr (30). It can be seen that when the oligoradical solubility is reduced (jcr = 10- 5), the rate of nucleation and final number of particles are greatly increased. This is, of course, in the absence of change in any other variable. [Pg.19]

Figure 3. Kinetics of primary particle appearance calculated from full numerical solution of Equations 13-15 (Curve C), and from approximative Equation 16 (Curve A ) irreversible capture. Figure 3. Kinetics of primary particle appearance calculated from full numerical solution of Equations 13-15 (Curve C), and from approximative Equation 16 (Curve A ) irreversible capture.
TABLE 6.1 Full Transient Solution Adjustment Factor, g, in Equation (6.42) as a Function of Volume Precipitate for the Exact Solution to Equation (6.35) as Solved by Nielsen ... [Pg.198]

In most of the modem versions of the Debye-Hiickel theory of 1923, it is still assumed that the dielectric constant to be used is that of water. The dielectric constant of solutions decreases linearly with an increase in the concentration of the electrolyte. Using data in the chapter, calculate the mean activity coefficient for NaCl from 0.1 M to 2 M solutions, using the full equation with correction for the space taken up by the ions and the water removed by hydration. Compare the new calculation with those of Stokes and Robinson. Discuss the change in a you had to assume. [Pg.356]

In this very dilute solution of HCN, the [H+] from HCN alone is less than 10-6 M, so the full equation must be used to obtain the correct [H+] in the solution ... [Pg.264]

Only in these limiting cases is the computation of the fluxes from an exact solution of the Maxwell-Stefan equations so straightforward. In most cases of practical importance we must make use of the full matrix solution (Eq. 8.3.24). [Pg.168]

The AO results may also be used for benchmark tests of simpler models. In this context we have also checked a simple non-perturbative model, the UCA. This model includes the main features of fast heavy-ion stopping, as is shown by comparison with large-scale AO results for the impact-parameter dependent electronic energy transfer. The computation of the energy loss within the UCA is much simpler and by many orders of magnitude faster than the full numerical solution of the time-dependent Schrodinger equation. [Pg.43]

This article starts by introducing some of the fundamental observational material (Sect. 2), and by providing an early preview of the stellar evolution theory (Sect. 3). Fundamental timescales and the equations of stellar structure and evolution are derived in Sects. 4-6. The micro-physics (equation of state, opacity and nuclear physics) are discussed in Sects. 7-9. Some methods for calculating approximate solutions and full numerical solutions are presented (Sects. 10-11). Subsequent sections deal with the evolution of main-sequence stars (Sect. 12), white dwarfs and supernovae (Sect. 13), horizontal-branch stars (Sect. 14) and hydrogen-deficient stars (Sect. 15). [Pg.4]


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