Biological reaction engineering: dynamic modelling by Irving J. Dunn, Elmar Heinzle, John Ingham, Jiri E. Prenosil

By Irving J. Dunn, Elmar Heinzle, John Ingham, Jiri E. Prenosil

During this ebook, the modelling of dynamic organic engineering tactics is gifted in a hugely comprehensible method utilizing the original blend of simplified primary thought and direct hands-on computing device simulation. the math is saved to a minimal, and but the 60 examples provided on a CD-ROM illustrate nearly each element of organic engineering technological know-how. every one instance is defined intimately, together with the version equations. The programms are written within the sleek ordinary simulation language Berkeley Madonna, which are run on either home windows computing device and Power-Macintosh computers.

Madonna solves versions comprising many usual differential equations utilizing extremely simple programming, together with arrays. it's so strong that the version parameters should be outlined as "sliders", which enable the impact in their swap at the version habit to be noticeable presently. facts can be integrated for curve becoming, and sensitivity or a number of runs will be played. the implications could be obvious at the same time on multiple-graph home windows or through the use of overlays. The examples might be assorted to slot any genuine scenario, and the advised workouts supply sensible guidance.

The wide event of the authors, either in collage instructing and overseas classes, is mirrored during this well-balanced presentation, that's appropriate for the instructor, the coed, the biochemist or the engineer.

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Additional resources for Biological reaction engineering: dynamic modelling fundamentals with simulation examples

Example text

Consider some arbitrary balance region, as shown in Fig. 14 by the shaded area. Mass accumulates within the system at a rate dM/dt, owing to the competing effects of a convective flow input (mass flow rate in) and an output stream (mass flow rate out). 14. Balancing the total mass of an arbitrary system. he system) - Uhe system J = Mass rate in - Mass rate out or in terms of volumetric flow rates, F, densities, (p), and volume, V d(p V) system 3t = F oPo-FiPi When densities are equal, as in the case of water flowing in and out of a tank, dV dT = F O-FI The steady-state condition of constant volume in the tank (dV/dt = 0) occurs when the volumetric flow in, FQ, is exactly balanced by the volumetric flow out, FI.

It is hoped that much of the difficulty can be overcome by considering the following case. In this section a simple example, based on the filling of a tank of water, is used to develop the derivation of a mass balance equation from the basic physical model and thereby to give meaning to the terms in the equations. Following the detailed derivation, a short-cut method based on rates is given to derive the dynamic balance equations. Consider a tank into which water is flowing at a constant rate F (m3/s), as shown in Fig.

This is accomplished with the root-finding feature of Berkeley Madonna. If there is pH control, then strong base or acid would be usually added. The addition of strong alkali for pH control would cause an increase in £CK+ » which in accordance with the above equation would result in a decrease of CH+. An alternative approach, which avoids an algebraic loop, is to treat the instantaneous equilibrium reactions as reactions with finite forward and backward rates. These rates must be adjusted with their kinetic constants to maintain the equilibrium for the particular system; that is, these rates must be very fast compared with the other rates of the model.

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