Modeling And Control Of Polymerization Processes
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Polymerization Process Modeling
| Author | : N. A. Dotson |
| Publisher | : John Wiley & Sons |
| Total Pages | : 392 |
| Release | : 1996-12-17 |
| Genre | : Technology & Engineering |
| ISBN | : 9780471186151 |
Large numbers of chemical engineers work with polymerization reactions and the problems and the challenges particular to the production of polymers. These problems have no counterparts in small-molecule reactions, and thus usually are neglected in standard reactor courses. This book provides a clearly written, comprehensive textbook on polymerization reactor engineering, appropriate for senior-level undergraduate and 1st- and 2nd-year graduate students. It focuses on polymer structure and structure-property relationships conditions that can play a role in dictating stucture.
Control of Polymerization Reactors
| Author | : Joseph Schork |
| Publisher | : CRC Press |
| Total Pages | : 378 |
| Release | : 1993-03-09 |
| Genre | : Technology & Engineering |
| ISBN | : 9780824790431 |
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.
Modeling and Simulation in Polymers
| Author | : Purushottam D. Gujrati |
| Publisher | : John Wiley & Sons |
| Total Pages | : 564 |
| Release | : 2010-03-30 |
| Genre | : Technology & Engineering |
| ISBN | : 9783527630264 |
Filling a gap in the literature and all set to become the standard in this field, this monograph begins with a look at computational viscoelastic fluid mechanics and studies of turbulent flows of dilute polymer solutions. It then goes on discuss simulations of nanocomposites, polymerization kinetics, computational approaches for polymers and modeling polyelectrolytes. Further sections deal with tire optimization, irreversible phenomena in polymers, the hydrodynamics of artificial and bacterial flagella as well as modeling and simulation in liquid crystals. The result is invaluable reading for polymer and theoretical chemists, chemists in industry, materials scientists and plastics technologists.
Model Based Control
| Author | : Paul Serban Agachi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 290 |
| Release | : 2007-09-24 |
| Genre | : Technology & Engineering |
| ISBN | : 3527609229 |
Filling a gap in the literature for a practical approach to the topic, this book is unique in including a whole section of case studies presenting a wide range of applications from polymerization reactors and bioreactors, to distillation column and complex fluid catalytic cracking units. A section of general tuning guidelines of MPC is also present.These thus aid readers in facilitating the implementation of MPC in process engineering and automation. At the same time many theoretical, computational and implementation aspects of model-based control are explained, with a look at both linear and nonlinear model predictive control. Each chapter presents details related to the modeling of the process as well as the implementation of different model-based control approaches, and there is also a discussion of both the dynamic behaviour and the economics of industrial processes and plants. The book is unique in the broad coverage of different model based control strategies and in the variety of applications presented. A special merit of the book is in the included library of dynamic models of several industrially relevant processes, which can be used by both the industrial and academic community to study and implement advanced control strategies.
Advanced Control of Chemical Processes 1994
| Author | : D. Bonvin |
| Publisher | : Elsevier |
| Total Pages | : 561 |
| Release | : 2014-05-23 |
| Genre | : Technology & Engineering |
| ISBN | : 1483297594 |
This publication brings together the latest research findings in the key area of chemical process control; including dynamic modelling and simulation - modelling and model validation for application in linear and nonlinear model-based control: nonlinear model-based predictive control and optimization - to facilitate constrained real-time optimization of chemical processes; statistical control techniques - major developments in the statistical interpretation of measured data to guide future research; knowledge-based v model-based control - the integration of theoretical aspects of control and optimization theory with more recent developments in artificial intelligence and computer science.
Encyclopedia of Chemical Processing
| Author | : Sunggyu Lee |
| Publisher | : Taylor & Francis US |
| Total Pages | : 744 |
| Release | : 2006 |
| Genre | : Science |
| ISBN | : 9780824755591 |
Supplying nearly 350 expertly-written articles on technologies that can maximize and enhance the research and production phases of current and emerging chemical manufacturing practices and techniques, this second edition provides gold standard articles on the methods, practices, products, and standards recently influencing the chemical industries. New material includes: design of key unit operations involved with chemical processes; design, unit operation, and integration of reactors and separation systems; process system peripherals such as pumps, valves, and controllers; analytical techniques and equipment; current industry practices; and pilot plant design and scale-up criteria.
Mathematical Modelling for Polymer Processing
| Author | : Vincenzo Capasso |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 325 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 3642557716 |
Polymers are substances made of macromolecules formed by thousands of atoms organized in one (homopolymers) or more (copolymers) groups that repeat themselves to form linear or branched chains, or lattice structures. The concept of polymer traces back to the years 1920's and is one of the most significant ideas of last century. It has given great impulse to indus try but also to fundamental research, including life sciences. Macromolecules are made of sm all molecules known as monomers. The process that brings monomers into polymers is known as polymerization. A fundamental contri bution to the industrial production of polymers, particularly polypropylene and polyethylene, is due to the Nobel prize winners Giulio Natta and Karl Ziegler. The ideas of Ziegler and Natta date back to 1954, and the process has been improved continuously over the years, particularly concerning the design and shaping of the catalysts. Chapter 1 (due to A. Fasano ) is devoted to a review of some results concerning the modelling of the Ziegler- Natta polymerization. The specific ex am pie is the production of polypropilene. The process is extremely complex and all studies with relevant mathematical contents are fairly recent, and several problems are still open.
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing
| Author | : Y. A. Liu |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1027 |
| Release | : 2023-07-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3527843825 |
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.
Renewable Polymers
| Author | : Marc A. Dubé |
| Publisher | : MDPI |
| Total Pages | : 206 |
| Release | : 2020-04-22 |
| Genre | : Technology & Engineering |
| ISBN | : 3039287664 |
The utilization of bio-resourced macromolecules for polymer applications has been the subject of increasing interest, mainly for sustainability and functionality reasons. This Special Issue of Processes brings together nine papers from leading scientists and researchers active in the area of “Sustainable and Renewable Polymers, Processing, and Chemical Modifications”. The collected papers include seven original research and two review articles related to renewable feedstock for polymer applications, processes for the fabrication of renewable polymer-based nanomaterials, the design and modification of renewable polymers, and applications of renewable polymers. The journal Processes will continue to nurture progress in this field through its position as an open access platform.
