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This reference and text provides an in-depth description of developments in control techniques and their application to polymerization reactors and offers important introductory background information on polymerization reaction engineering.;Discussing modelling, identification, linear, nonlinear and multivariable schemes, Control of Polymerization Reactors: presents all available techniques that can be used to control reactors properly for optimal performance; shows how to manipulate pivotal variables that affect reactor control; examines methods for deriving dynamic process models to improve reactor efficiency; reviews reactor control problems and points out end-use properties; supplies methods for measuring process variables, and ways to estimate variables that can't be measured; and explains how single-input, single-output (SISO) strategies can be effectively used for control.;Filled with illustrative examples to clarify concepts, including more than 730 figures, tables and equations, Control of Polymerization Reactors is intended for use as a reference for chemical, process development, process design, research and development, control systems, and polymer engineers; and polymer chemists and physicists; as well as a text for upper-level undergraduate and graduate students in polymerization reactor control courses.
List of contents
Introduction to polymerization; kinetic analysis of polymerization; polymerization reaction engineering; heterogeneous polymerization; framework of the control problem; measurement and estimation of process variables; process modelling and identification; single-loop reactor control strategies; multivariable control of polymerization reactors; nonlinear control strategies for polymerization reactors; introduction to polymer processing, Vikas M. Nadkarni.
About the author
F. Joseph Schork, Pradeep B. Deshpande, Kenneth W. leffew
Summary
Offers a description of developments in control techniques and their application to polymerization reactors. This text provides information on polymerization reaction engineering. It shows how to manipulate pivotal variables that affect reactor control. It examines methods for deriving dynamic process models to improve reactor efficiency.
