Chemical Process Modelling and Computer Simulation - download pdf or read online

By Amiya K. Jana

ISBN-10: 8120344774

ISBN-13: 9788120344778

This entire and punctiliously revised textual content, now in its moment version, maintains to provide the basic options of the way mathematical types of chemical tactics are built and exhibit their functions to the simulation of 2 of the vitally important chemical engineering platforms: the chemical reactors and distillation platforms.

The booklet offers an built-in remedy of method description, mathematical modelling and dynamic simulation of sensible difficulties, utilizing the powerful procedure version strategy and its simulation with effective numerical options. Theoretical historical past fabrics on job coefficient types, equation of country types, response kinetics, and numerical resolution concepts wanted for the advance of mathematical types also are addressed within the publication.

the subjects of debate on the topic of tanks, warmth exchangers, chemical reactors (both non-stop and batch), biochemical reactors (continuous and fed-batch), distillation columns (continuous and batch), equilibrium flash vaporizer, and refinery debutanizer column include numerous worked-out examples and case experiences to coach scholars how chemical strategies should be measured and monitored utilizing desktop programming.

the recent variation comprises extra chapters Reactive Distillation Column and Vaporizing Exchangers with the intention to extra develop the textual content.

This ebook is designed for senior point undergraduate and first-year postgraduate point classes in Chemical strategy Modelling and Simulation . The publication can also be necessary for college students of petrochemical engineering, biotechnology, and biochemical engineering. it might probably function a advisor for examine scientists and training engineers in addition.

His components of analysis contain nonlinear regulate, modelling and simulation, and effort engineering.

desk Of Contents:
Preface
half I-INTRODUCTION


1. creation to Modelling and Simulation 2. Numerical tools

half II-REACTOR

three. Batch Reactor four. non-stop Stirred Tank Reactor five. Bioreactor

half III-DISTILLATION

6. Compartmental Distillation version 7. excellent Binary Distillation Column eight. task Coefficient types nine. Binary Batch Distillation Column 10. Binary non-stop Distillation Column eleven. Multicomponent Batch Distillation Column 12. Equilibrium Flash Vaporization thirteen. Equation of kingdom types 14. Refinery Debutanizer Column 15. Reactive Distillation Column

half IV-VAPORIZING techniques

sixteen. Vaporizing Exchangers Index

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Extra resources for Chemical Process Modelling and Computer Simulation

Example text

1 describes this numerical technique. 1 Illustration of the Bisection method. The Bisection method actually locates a root by repeatedly narrowing the distance between the two guesses. When an interval contains a root, this simple numerical method never fails. However, the main drawback of the Bisection technique is the slow convergence rate. Also, it is not easily extended to multivariable systems. 2 Secant Method Because of the slow convergence provided by the Bisection approach, the Secant method (Finlayson, 1980; Riggs, 1988; Burden and Faires, 1985) receives the attention as an alternative iterative technique.

It also may sometimes lead to stability problems particularly if the function is strongly nonlinear and if the initial guess is very poor. 4 Muller Method This is an iterative convergence method (Jain, Iyengar and Jain, 1995) based on second-degree (quadratic) equation. 20) where a0( 0), a1 and a2 are three arbitrary parameters. In this convergence approach, three values of the unknown x variable are guessed. Let, xk–2, xk–1 and xk are three approximations to the actual root r of f(x) = 0. 21c), pk–2 = p(xk–2), pk–1 = p(xk–1) and pk = p(xk).

5 SUMMARY AND CONCLUSIONS This chapter presents a detailed description of several numerical methods, which are commonly used in the simulation of several chemical engineering process models. At the beginning, different solution techniques for nonlinear algebraic equations and then the numerical solution of differential equations have been discussed. The practical chemical engineering problems are represented by a set of coupled differential–algebraic equations. We will discuss the simultaneous solutions of such systems using these numerical methods in the subsequent chapters.

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Chemical Process Modelling and Computer Simulation by Amiya K. Jana


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