By Professor Dr. John Ingham, Professor Dr. Irving J. Dunn, Professor Dr. Elmar Heinzle, Professor Dr. Jiri E. Prenosil(auth.)
During this publication, the modelling of dynamic chemical engineering methods is gifted in a hugely comprehensible approach utilizing the original mixture of simplified primary idea and direct hands-on machine simulation. the math is stored 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 smooth easy simulation language Berkeley Madonna, which are run on either home windows computer 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 enable the impression in their swap at the version habit to be obvious presently. information can be incorporated for curve becoming, and sensitivity or a number of runs could be played. the consequences could be visible concurrently on multiple-graph home windows or through the use of overlays. the ensuing studying impact of this is often great. The examples will be various to slot any genuine scenario, and the instructed workouts supply functional guidance.
The large adventure of the authors, either in college instructing and overseas classes, is mirrored during this well-balanced presentation, that's appropriate for the trainer, the scholar, the chemist or the engineer. This ebook presents a better realizing of the formula and use of mass and effort balances for chemical engineering, in a so much stimulating manner.
This booklet is a moment variation, that's a lot more suitable by way of the recent software program, and it is also a brand new part on organic procedure examples.
Chapter 1 simple recommendations (pages 1–59):
Chapter 2 procedure Dynamics basics (pages 61–115):
Chapter three Modelling of Stagewise strategies (pages 117–209):
Chapter four Simulation instruments and Examples of Chemical Engineering strategies (pages 211–273):
Chapter five Simulation instruments and Examples of Chemical Engineering procedures (pages 275–619):
Read or Download Chemical Engineering Dynamics: An Introduction to Modelling and Computer Simulation, Second Edition PDF
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Extra info for Chemical Engineering Dynamics: An Introduction to Modelling and Computer Simulation, Second Edition
13. Component balancing for species i. 2 Formulation of Dynamic Models In the case of chemical reaction, the balance equation is represented by Rate of accumulation of mass of component i in the system Mass flow of Mass flow of Rate of the system the system by reaction Expressed in terms of volume, volumetric flow rate and concentration, this is equivalent to d(VCi) = (Fo Cio)-(Fl Cil)+(ri V) dt with dimensions of masdtime In the case of an input of component i to the system by interfacial mass transfer, the balance equation now becomes i Rate of accumulation of mass of component in the system Mass flow of Mass flow of Rate of interfacial the system the system of component i into the system d(VCi) - (Fo Cio) dt - (F1 Cil) + Qi where Qi, the rate of mass transfer is given by Qi = Ki AACi 1 .
This is seen in the information flow diagram for a non-isothermal continuous reactor as shown in Fig. 16. 16. Information flow diagram for modelling a non-isothermal, chemical reactor, with simultaneous mass and energy balances. Energy balances are formulated by following the same set of guidelines as those given in Sec. 2 for material balances. Energy balances are however considerably more complex, because of the many processes which cause temperature change in chemical systems. The treatment considered here is somewhat simplified, but is adequate to understand the non-isothermal simulation examples.
Thus other relationships are needed to complete the model in terms of other important aspects of behaviour in order to satisfy the mathematical rigour of the modelling, such that the number of unknown variables must be equal to the number of defining equations. Examples of this type of relationship, which are not based on balances, but which nevertheless form a very important part of any model are: Reaction stoichiometry . Reaction rates as functions of concentration and temperature. Equations of state or Ideal Gas Law behaviour.