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Exponential integral table

Si x) Sine, Cosine, and Exponential Integral tables pages 548-556... [Pg.2600]

Equation 9-15 gives the conversion expression for the second order reaction of a macrofluid in a mixed flow. An exponential integral, ei(a), which is a function of a, and its value can be found from tables of integrals. However, the conversion from Equation 9-15 is different from that of a perfectly mixed reactor without reference to RTD. An earlier analysis in Chapter 5 gives... [Pg.767]

This integral is related to the exponential integral (see Table 14.1). It cannot be solved in closed analytical form, but it can be evaluated numerically using the E-Z Solve software the upper limit may be set equal to 10f. [Pg.398]

For reaction A -> products constant-density, isothermal, steady-state operation. Second term is related to exponential integral see Table 14.1. [Pg.400]

This is the conversion expression for second-order reaction of a macrofluid in a mixed flow reactor. The integral, represented by ei(a) is called an exponential integral. It is a function alone of a, and its value is tabulated in a number of tables of integrals. Table 16.1 presents a very abbreviated set of values for both ei(jc) and Ei(jc). We will refer to this table later in the book. [Pg.353]

To test whether the reaction is first order, we simply fit the data to the exponential integrated first-order rate equation (Table 3.1) using a non-linear optimisation procedure and the result is shown in Fig. 3.3. The excellent fit shows that the reaction follows the mathematical model and, therefore, that the process is first order with respect to [N2O5], i.e. the rate law is r = A bsI Os]. The rate constant is also obtained in the fitting procedure, k0bs = (6.10 0.06) x 10 4 s 1. We see that, even with such a low number of experimental points, the statistical error is lower than 1%, which shows that many data points are not needed if... [Pg.55]

The derivation of the rather complicated Eq. (4.10.29) is given in other textbooks (Westerterp, van Swaaij, and Beenackers, 1998 Levenspiel, 1996, 1999). Note that Eq. (4.10.29) is only valid for Newtonian fluids. The case of non-Newtonian fluids may also be important, such as, for example, in polymerization reactors, and is treated in the literature (Wen and Fan, 1975). Table 4.10.1 gives selected values of the exponential integral in Eq. (4.10.29). Figure 4.10.17 compares the conversion reached in a plug flow reactor with that in a tubular reactor with laminar flow. [Pg.310]

SOLUTION We do not need the angular momentum part of the wavefunction, because we are examining only the r-dependence of the wavefunction. Get the radial wavefunction from Table 3.2. You can also take advantage of general solutions to the exponential integral from Table A.5 ... [Pg.134]

We can obtain these quantitites in terms of the discrete exponential relaxation times by substituting in for G(s) with eq. 3.2.8 or 3.2.10 and solving the definite integrals of the exponentials (check any standard integral table). For example, with eq. 3.2.8... [Pg.1]

See, for example, Spiegel, M. R. and Liu, J., Mathematical Handbook of Formulas and Tables, 2nd edition, Schaum s Outline Series, McGraw-Hill (1999) Gautschi, W. and Cahill, W. F., Exponential Integral and related functions , in Ahramowitz, M. and Stegun, I. E. (eds.). Handbook of Mathematical Functions With Formulas, Graphs, and Mathematical Tables, Applied Mathematics Series 55 U.S. Department of Coimnerce, National Bureau of Standards, (1964). [Pg.402]

Once the Laplace transform u(x,s) of the temperature () (x, /,) which fits the initial and boundary conditions has been found, the back-transformation or so-called inverse transformation must be carried out. The easiest method for this is to use a table of correspondences, for example Table 2.3, from which the desired temperature distribution can be simply read off. However frequently u(x,s) is not present in such a table. In these cases the Laplace transformation theory gives an inversion theorem which can be used to find the required solution. The temperature distribution appears as a complex integral which can be evaluated using Cauchy s theorem. The required temperature distribution is yielded as an infinite series of exponential functions fading with time. We will not deal with the application of the inversion theorem, and so limit ourselves to cases where the inverse transformation is possible using the correspondence tables. Applications of... [Pg.144]

Table 2 Properties of two-step sixth algebraic order exponentially-fitted methods. S = H2 H = sqn, q — 1,2,.... The quantities m and p are defined by (11). A.O. is the algebraic order of the method. Int. Per. is the interval of periodicity of the method. N.o.S. is the number of steps of the method. I.E.F = Integrated Exponential Functions. SiMi = Simos and Mitsou.22 TS = Thomas and Simos25... Table 2 Properties of two-step sixth algebraic order exponentially-fitted methods. S = H2 H = sqn, q — 1,2,.... The quantities m and p are defined by (11). A.O. is the algebraic order of the method. Int. Per. is the interval of periodicity of the method. N.o.S. is the number of steps of the method. I.E.F = Integrated Exponential Functions. SiMi = Simos and Mitsou.22 TS = Thomas and Simos25...
We have seen that the TABLE macro in EXCEL provides a very efficient format for calculations involving Gaussian basis sets, since the design for the integrations required to solve the hydrogen atom problem is based only on two projections, the quadratic exponential and its transform under the action of the Laplacian over the radial array. For... [Pg.133]


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