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Books in Control of chemical and biotechnological processes

    • Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD+ '92)

      • 1st Edition
      • May 23, 2014
      • J.G. Balchen + 3 more
      • English
      • Paperback
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      • eBook
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      In addition to the three main themes: chemical reactors, distillation columns, and batch processes this volume also addresses some of the new trends in dynamics and control methodology such as model based predictive control, new methods for identification of dynamic models, nonlinear control theory and the application of neural networks to identification and control. Provides a useful reference source of the major advances in the field.
    • Bioprocess Engineering

      • 1st Edition
      • October 31, 2013
      • Kim Gail Clarke
      • English
      • Paperback
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      • Hardback
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      • Hardback
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      • eBook
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      Biotechnology is an expansive field incorporating expertise in both the life science and engineering disciplines. In biotechnology, the scientist is concerned with developing the most favourable biocatalysts, while the engineer is directed towards process performance, defining conditions and strategies that will maximize the production potential of the biocatalyst. Increasingly, the synergistic effect of the contributions of engineering and life sciences is recognised as key to the translation of new bioproducts from the laboratory bench to commercial bioprocess. Fundamental to the successful realization of the bioprocess is a need for process engineers and life scientists competent in evaluating biological systems from a cross-disciplinary viewpoint. Bioprocess engineering aims to generate core competencies through an understanding of the complementary biotechnology disciplines and their interdependence, and an appreciation of the challenges associated with the application of engineering principles in a life science context. Initial chapters focus on the microbiology, biochemistry and molecular biology that underpin biocatalyst potential for product accumulation. The following chapters develop kinetic and mass transfer principles that quantify optimum process performance and scale up. The text is wide in scope, relating to bioprocesses using bacterial, fungal and enzymic biocatalysts, batch, fed-batch and continuous strategies and free and immobilised configurations.
    • Practical Process Control for Engineers and Technicians

      • 1st Edition
      • March 17, 2005
      • Wolfgang Altmann
      • English
      • Paperback
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      • eBook
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      This book is aimed at engineers and technicians who need to have a clear, practical understanding of the essentials of process control, loop tuning and how to optimize the operation of their particular plant or process. The reader would typically be involved in the design, implementation and upgrading of industrial control systems. Mathematical theory has been kept to a minimum with the emphasis throughout on practical applications and useful information.This book will enable the reader to:* Specify and design the loop requirements for a plant using PID control* Identify and apply the essential building blocks in automatic control* Apply the procedures for open and closed loop tuning* Tune control loops with significant dead-times* Demonstrate a clear understanding of analog process control and how to tune analog loops* Explain concepts used by major manufacturers who use the most up-to-date technology in the process control field
    • Nanolithography and Patterning Techniques in Microelectronics

      • 1st Edition
      • September 30, 2005
      • D Bucknall
      • English
      • Hardback
        9 7 8 1 8 5 5 7 3 9 3 1 4
      • eBook
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      Techniques such as surface patterning have facilitated the emergence of advanced polymers with applications in areas such as microelectronics. Surface patterning of polymers has conventionally been undertaken by optical lithography. However, a new generation of nanolithographic and patterning techniques has made it possible to develop complex patterns at the nanoscale. Non-conventional lithography and patterning summarises this new range of techniques and their industrial applications.A number of chapters look at ways of forming and modifying surfaces for patterning. These are complemented by chapters on particular patterning techniques such as soft lithography, ion beam patterning, the use of nanostencils, photolithography and inkjet printing. The book also discusses prototyping and the manufacture of particular devices.With its distinguished international team of contributors, Non-conventional lithography and patterning is a standard reference for both those researching and using advanced polymers in such areas as microelectronics and biomedical devices.
    • Modeling of Chemical Kinetics and Reactor Design

      • 1st Edition
      • August 14, 2001
      • A. Kayode Coker
      • English
      • eBook
        9 7 8 0 0 8 0 4 9 1 9 0 5
      Selecting the best type of reactor for any particular chemical reaction, taking into consideration safety, hazard analysis, scale-up, and many other factors is essential to any industrial problem. An understanding of chemical reaction kinetics and the design of chemical reactors is key to the success of the of the chemist and the chemical engineer in such an endeavor. This valuable reference volume conveys a basic understanding of chemical reactor design methodologies, incorporating control, hazard analysis, and other topics not covered in similar texts. In addition to covering fluid mixing, the treatment of wastewater, and chemical reactor modeling, the author includes sections on safety in chemical reaction and scale-up, two topics that are often neglected or overlooked.As a real-world introduction to the modeling of chemical kinetics and reactor design, the author includes a case study on ammonia synthesis that is integrated throughout the text. The text also features an accompanying CD, which contains computer programs developed to solve modeling problems using numerical methods. Students, chemists, technologists, and chemical engineers will all benefit from this comprehensive volume.
    • Pocket Guide to Preventing Process Plant Materials Mix-ups

      • 1st Edition
      • March 23, 2000
      • Bert Moniz
      • English
      • Paperback
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      • eBook
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      This handy pocket guide condenses vital information into a simple format that explains how to prevent costly materials mix-ups that result from a deficiency in the supply chain. Using easy-to-read, straightforward language, it outlines effective methods of specifying, procuring, receiving and verifying critical materials. Pocket Guide to Preventing Process Plant Materials Mix-ups illustrates how to test and identify materials and provides what you need to know to choose between the various production methods.
    • Simulation of Industrial Processes for Control Engineers

      • 1st Edition
      • July 13, 1999
      • Philip J Thomas
      • English
      • Hardback
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      Computer simulation is the key to comprehending and controlling the full-scale industrial plant used in the chemical, oil, gas and electrical power industries. Simulation of Industrial Processes for Control Engineers shows how to use the laws of physics and chemistry to produce the equations to simulate dynamically all the most important unit operations found in process and power plant.The book explains how to model chemical reactors, nuclear reactors, distillation columns, boilers, deaerators, refrigeration vessels, storage vessels for liquids and gases, liquid and gas flow through pipes and pipe networks, liquid and gas flow through installed control valves, control valve dynamics (including nonlinear effects such as static friction), oil and gas pipelines, heat exchangers, steam and gas turbines, compressors and pumps, as well as process controllers (including three methods of integral desaturation). The phenomenon of markedly different time responses ("stiffness") is considered and various ways are presented to get around the potential problem of slow execution time. The book demonstrates how linearization may be used to give a diverse check on the correctness of the as-programmed model and explains how formal techniques of model validation may be used to produce a quantitative check on the simulation model's overall validity.The material is based on many years' experience of modelling and simulation in the chemical and power industries, supplemented in recent years by university teaching at the undergraduate and postgraduate level. Several important new results are presented. The depth is sufficient to allow real industrial problems to be solved, thus making the book attractive to engineers working in industry. But the book's step-by-step approach makes the text appropriate also for post-graduate students of control engineering and for undergraduate students in electrical, mechanical and chemical engineering who are studying process control in their second year or later.
    • Practical Process Control

      • 1st Edition
      • June 26, 1998
      • Anthony Seal
      • English
      • Paperback
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      • Hardback
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      • eBook
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      Practical Process Control introduces process control to engineers and technicians unfamiliar with control techniques, providing an understanding of how to actually apply control in a real industrial environment. It avoids analytical treatment of the numerous statistical process control techniques to concentrate on the practical problems involved. A practical approach is taken, making it relevant in virtually all manufacturing and process industries. There is currently no information readily available to practising engineers or students that discusses the real problems and such material is long overdue.
    • Computational Methods for Process Simulation

      • 2nd Edition
      • November 20, 1997
      • W. Fred Ramirez
      • English
      • Paperback
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      • Hardback
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      Process Modelling and simulation have proved to be extremely successful engineering tools for the design and optimisation of physical, chemical and biochemical processes. The use of simulation has expanded rapidly over the last two decades because of the availability of large high-speed computers and indeed has become even more widespread with the rise of the desk-top PC resources now available to nearly every engineer and student. In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. Computational Methods for Process Simulation develops the methods needed for the simulation of real processes to be found in the process industries. It also stresses the engineering fundamentals used in developing process models. Steady state and dynamic systems are considered, for both spatially lumped and spatially distributed problems. It develops analytical and numerical computational techniques for algebraic, ordinary and partial differential equations, and makes use of computer software routines that are widely available. Dedicated software examples are available via the internet.
    • Intelligent Systems in Process Engineering, Part II: Paradigms from Process Operations

      • 1st Edition
      • Volume 22
      • October 3, 1995
      • English
      • Paperback
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      • Hardback
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      • eBook
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      Volumes 21 and 22 of Advances in Chemical Engineering contain ten prototypical paradigms which integrate ideas and methodologies from artificial intelligence with those from operations research, estimation andcontrol theory, and statistics. Each paradigm has been constructed around an engineering problem, e.g. product design, process design, process operations monitoring, planning, scheduling, or control. Along with the engineering problem, each paradigm advances a specific methodological theme from AI, such as: modeling languages; automation in design; symbolic and quantitative reasoning; inductive and deductive reasoning; searching spaces of discrete solutions; non-monotonic reasoning; analogical learning;empirical learning through neural networks; reasoning in time; and logic in numerical computing. Together the ten paradigms of the two volumes indicate how computers can expand the scope, type, and amount of knowledge that can be articulated and used in solving a broad range of engineering problems.