Chemical Engineering Dynamics: An Introduction to Modelling by Dr. John Ingham, Dr. Irving J. Dunn, Prof. Dr. Elmar

By Dr. John Ingham, Dr. Irving J. Dunn, Prof. Dr. Elmar Heinzle, Dr. Jiri E. Prenosil, Dr. Jonathan B. Snape(auth.)

During this ebook, the modelling of dynamic chemical engineering strategies is gifted in a hugely comprehensible method utilizing the original mix of simplified basic concept and direct hands-on computing device simulation. the math is saved to a minimal, and but the approximately a hundred examples provided on a CD-ROM illustrate virtually each point of chemical engineering technology. each one instance is defined intimately, together with the version equations. they're written within the glossy basic 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 robust that the version parameters can be outlined as "sliders", which permit the impression in their switch at the version habit to be noticeable shortly. info can be integrated for curve becoming, and sensitivity or a number of runs could be played. the consequences may be visible concurrently on multiple-graph home windows or by utilizing overlays. the ensuing studying impression of this can be super. The examples will be diverse to slot any actual scenario, and the advised routines supply sensible guidance.

The broad adventure of the authors, either in collage instructing and foreign classes, is mirrored during this well-balanced presentation, that's compatible for the instructor, the scholar, the chemist or the engineer. This ebook offers a better figuring out of the formula and use of mass and effort balances for chemical engineering, in a such a lot stimulating manner.
This publication is a 3rd version, which additionally contains organic, environmental and meals technique examples.

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Extra resources for Chemical Engineering Dynamics: An Introduction to Modelling and Computer Simulation, Third Edition

Example text

Using these values, a new set of dimensionless variables can be obtained, simply, by dividing all the variables by the appropriate maximum value or by the characteristic time value. This leads to a model composed of dependent variables that vary only between the limits of zero and unity. This means that the solution may, for example, be in terms of the variation of dimensionless concentration versus dimensionless time, and now has a much greater significance, since the particular units of the problem are no longer relevant to the model formulation.

4 Component Balances Each chemical species, in the system, can be described by means of a component balance around an arbitrary, well-mixed, balance region, as shown in Fig. 13. In the case of chemical reaction, the balance equation is represented by H I H I H IH I Mass flow of Mass flow of Rate of f g f accumulation g f f gf g f g f component i g g f component i gf production of g f gˆf of mass À g f g f g f g d e d out of ed component i e into f g of component i d e the system the system by reaction in the system Rate of Fig.

The orders of reaction, a or b, can not be assumed from the stoichiometric equation and must be determined experimentally. For heterogeneous catalytic reactions, the rate of reaction is often expressed as the number of moles (or kg) of component reacting per unit time, per unit mass of catalyst. For a batch reactor rA ˆ 1 dnA M dt moles mass time where M is the mass of catalyst. Sometimes the surface area is used as the reference quantity for solid surface reactions. In vapour phase reactions, partial pressure units are often used in place of concentration in the rate equation, for example rA ˆ ÀkpaA pbB where pA and pB are the gas phase partial pressures of reactants A and B.

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