By Professor Dr. John Ingham, Professor Dr. Irving J. Dunn, Professor Dr. Elmar Heinzle, Professor Dr. Jiri E. Prenosil(auth.)

During this booklet, the modelling of dynamic chemical engineering techniques is gifted in a hugely comprehensible method utilizing the original blend of simplified basic idea and direct hands-on machine simulation. the maths is saved to a minimal, and but the approximately a hundred examples provided on a CD-ROM illustrate nearly each element of chemical engineering technology. each one instance is defined intimately, together with the version equations. they're written within the sleek hassle-free simulation language Berkeley Madonna, which are run on either home windows laptop and Power-Macintosh computers.

Madonna solves types comprising many usual differential equations utilizing extremely simple programming, together with arrays. it's so robust that the version parameters could be outlined as "sliders", which enable the influence in their switch at the version habit to be obvious shortly. facts can be integrated for curve becoming, and sensitivity or a number of runs might be played. the consequences will be obvious concurrently on multiple-graph home windows or by utilizing overlays. the consequent studying impact of this can be super. The examples should be diverse to slot any genuine state of affairs, and the prompt routines offer functional guidance.

The broad event of the authors, either in collage instructing and foreign classes, is mirrored during this well-balanced presentation, that's appropriate for the trainer, the coed, the chemist or the engineer. This publication presents a better realizing of the formula and use of mass and effort balances for chemical engineering, in a so much stimulating manner.
This ebook is a moment version, that is a lot superior through the hot software program, and additionally it is a brand new part on organic method examples.

Chapter 1 simple innovations (pages 1–59):
Chapter 2 approach Dynamics basics (pages 61–115):
Chapter three Modelling of Stagewise approaches (pages 117–209):
Chapter four Simulation instruments and Examples of Chemical Engineering tactics (pages 211–273):
Chapter five Simulation instruments and Examples of Chemical Engineering tactics (pages 275–619):

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Additional resources for Chemical Engineering Dynamics: An Introduction to Modelling and Computer Simulation, Second Edition

Sample text

2 Case B. 15. Agitated tank for dissolving solids. For a batch system, with no inflow and no outflow, the total mass of the system remains constant. The solution to this problem, thus involves a liquid-phase component material balance for the soluble material, combined with an expression for the rate of mass transfer of the solid into the liquid. The component material balance is then ] [ Rate of transfer Rate of accumulation = of the solid of the material in the solvent to the solvent 1 giving where, VL is the volume of the liquid, CL is the concentration of the component in the liquid, kL is the liquid phase mass transfer coefficient, A is the total interfacial area for mass transfer and CL* is the equilibrium value.

2 . 2 Case B. Tubular Reactor In the case of tubular reactors, the concentrations of the products and reactants will vary continuously along the length of the reactor, even when the reactor is operating at steady state. This variation can be regarded as being equivalent to that of the time of passage of material as it flows along the reactor and is equivalent to the time available for reaction to occur. Under steady-state conditions the concentration at any position along the reactor will be constant with respect to time, though not with position.

Diffusion flux ji driven by concentration gradient (Cio - Cil)/AZ through surface area A. In accordance with Fick's Law, diffusive flow always occurs in the direction of decreasing concentration and at a rate, which is proportional to the magnitude of the concentration gradient. Under true conditions of molecular diffusion, the constant of proportionality is equal to the molecular diffusivity of the component i in the system, D i (m2/s). For other cases, such as diffusion in porous matrices and for turbulent diffusion applications, an effective diffusivity value is used, which must be determined experimentally.

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