Books in Process design simulation control

91-93 of 93 results in All results

Controlled Particle, Droplet and Bubble Formation

• 1st Edition
• March 30, 1994
• D J Wedlock
• English
• eBook 978-0-08-098487-2

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The ability to control particle size distributions and to characterize them once formed is an increasingly important topic in the processing industry. Many standard processing techniques are looked at in this book, but from new and innovative perspectives. Well established techniques such as crystallization and precipitation are covered alongside newer technologies such as sol-gel processing. Formation of products using emulsions, aerosols and polymers covered in this book are used across a wide variety of processing industries and all those involved in the processing of chemicals, food, minerals bioproducts and many other products will find this book an informative reference source.

Sampling of Heterogeneous and Dynamic Material Systems

• 1st Edition
• Volume 10
• October 23, 1992
• P.M. Gy
• English
• eBook 978-0-08-086837-0

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Although sampling errors inevitably lead to analytical errors, the importance of sampling is often overlooked. The main purpose of this book is to enable the reader to identify every possible source of sampling error in order to derive practical rules to (a) completely suppress avoidable errors, and (b) minimise and estimate the effect of unavoidable errors. In short, the degree of representativeness of the sample can be known by applying these rules. The scope covers the derivation of theories of probabilistic sampling and of bed-blending from a complete theory of heterogeneity which is based on an original, very thorough, qualitative and quantitative analysis of the concepts of homogeneity and heterogeneity. All sampling errors result from the existence of one form or another of heterogeneity. Sampling theory is derived from the theory of heterogeneity by application of a probabilistic operator to a material whose heterogeneity has been characterized either by a simple scalar (a variance: zero-dimensional batches) or by a function (a variogram: one-dimensional batches). A theory of bed-blending (one-dimensional homogenizing) is then easily derived from the sampling theory. The book should be of interest to all analysts and to those dealing with quality, process control and monitoring, either for technical or for commercial purposes, and mineral processing. Although this book is primarily aimed at graduates, large portions of it are suitable for teaching sampling theory to undergraduates as it contains many practical examples provided by the author's 30-year experience as an international consultant. The book also contains useful source material for short courses in Industry.

Modeling and Optimization of Fermentation Processes

• 1st Edition
• Volume 1
• April 24, 1992
• Bohumil Volesky + 1 more
• English
• Hardback 978-0-444-89588-2

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The ability to predict the behavior of fermentation systems enhances the possibility of optimizing their performance. Mathematical equations of model systems represent a tool for this and the most recent advances in computer hardware and software have made the approach more effective than previous simplistic attempts. The current knowledge of biochemical microbial pathways and the experience in optimization of chemical reactors combined with extremely powerful and accessible computers, loaded with easy to use software and mathematical routines, are changing the way processes are being developed and operated. This book has been written for all those who work with microbial cultures, providing a useful, quick and contemporary re-education for practitioners and students alike, breaking through interdisciplinary barriers. Biologists, engineers and biochemists will benefit from the methods of microbial process description and optimization based on mathematical equations. The basic techniques of modeling the bio-system are summarized in Part I. The useful concept of mass balancing is introduced in Part II for those who are not used to this simple and very useful engineering tool. An extensive and descriptive case study of a selected fermentation bio-process in Part III elucidates further the concepts of very pragmatic mathematical modeling of bioreactor systems.The volume outlines how to simply develop mathematical models of microbial systems and demonstrates their power to: guide and minimize the experimental work; check the consistency of experimental results; predict the behavior of the bio-system and analyze biocatalytic processes; diagnose the anomalies in the microbial culture behavior and optimize the performance of bioreactors.