By Dr. John Ingham, Dr. Irving J. Dunn, Prof. Dr. Elmar Heinzle, Dr. Jiri E. Prenosil, Dr. Jonathan B. Snape(auth.)
During this publication, the modelling of dynamic chemical engineering methods 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 stored to a minimal, and but the approximately a hundred examples provided on a CD-ROM illustrate nearly each element of chemical engineering technology. every one instance is defined intimately, together with the version equations. they're written within the sleek hassle-free simulation language Berkeley Madonna, that are run on either home windows workstation and Power-Macintosh computers.
Madonna solves types comprising many traditional differential equations utilizing extremely simple programming, together with arrays. it's so robust that the version parameters should be outlined as "sliders", which enable the influence in their switch at the version habit to be noticeable shortly. information should be integrated for curve becoming, and sensitivity or a number of runs could be played. the consequences should be obvious at the same time on multiple-graph home windows or by utilizing overlays. the consequent studying influence of this can be super. The examples may be diverse to slot any actual scenario, and the instructed workouts offer sensible guidance.
The vast adventure of the authors, either in collage instructing and foreign classes, is mirrored during this well-balanced presentation, that is appropriate for the trainer, the coed, the chemist or the engineer. This e-book presents a better realizing of the formula and use of mass and effort balances for chemical engineering, in a so much stimulating manner.
This publication is a 3rd version, which additionally contains organic, environmental and nutrition technique examples.
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Extra info for Chemical Engineering Dynamics: An Introduction to Modelling and Computer Simulation, Third Edition
23 Specific growth rate versus limiting substrate concentration according to the Monod relation. The important properties of this relationship are as follows: lmax S KS S 3 I ; l 3 lmax S 3 0; l3 S KS ; l lmax 2 Substrate Uptake Kinetics The rate of uptake of substrate by micro-organisms is generally considered to be related to the rate of growth and to the rate required for maintenance, rS ÀrX À mX YX=S Here rS is the rate of substrate uptake by the cells (kg substrate m–3 s–1). YX/S (kg/kg) is the stoichiometric factor or yield coefficient, relating the mass of cell produced per unit mass of substrate consumed and the maintenance factor m (kg substrate/kg biomass S), represents the utilisation of substrate by the cells for non-growth related functions.
Reaction rates as functions of concentration and temperature. · Equations of state or Ideal Gas Law behaviour. · Physical property correlations as functions of concentration, temperature, etc. · Hydraulic flow equations. · Pressure variations as a function of flow rate. ). · Activity coefficients. · Dynamics of measurement instruments, as a function of instrument response time. · Controller equations with an input variable dependent on a measured variable. · Correlations for mass transfer coefficients, gas holdup volume, and interfacial area, as functions of system physical properties and agitation rate or flow velocity, etc.
The resulting heat of reaction, DH, can be calculated and by convention is negative for exothermic reactions and positive for endothermic reactions. 5. For complex reaction systems, the heats of reaction of all individual reactions have to be estimated, and the dynamic heat balance equations must include the heats of all the reactions. 4 Chemical Equilibrium and Temperature Chemical equilibrium depends on temperature as described by the van’t Hoff equation d ln K DH dT RT2 Here K is the thermodynamic chemical equilibrium constant.