Chemical Process Dynamics and Controls
Peter J. Woolf
Copyright Year:
Publisher: openmichigan
Language: English
Formats Available
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Attribution
CC BY
Reviews
This book is 1400 pages long, so it covers a lot of material. In fact, you can to go more than 500 pages into the book to find coverage on Chemical Process Dynamics and Control. The table of contents alone is 30 pages long. In reality this book... read more
This book is 1400 pages long, so it covers a lot of material. In fact, you can to go more than 500 pages into the book to find coverage on Chemical Process Dynamics and Control. The table of contents alone is 30 pages long. In reality this book also covers statistics, instrumentation, and piping and instrumentation diagram (P&IDs) in a fairly comprehensive fashion. However, the book does not have any homework problems, meaning if you used this as a course textbook, you would have to create all of the homework problems yourself, and it does not have an index.
While I did not review the entire 1400 pages, the sections I did read appeared to be accurate and unbiased.
90% of the links I tried were dead. This includes all of the links to on-line lectures and most of the links to industrial or governmental websites.
The prose is written in a manner that most engineers could understand it. However, there is a problem with the sequence of the chapters. The chapters on the different types of instrumentation refer to control techniques that are not covered until you go 500 pages further into the book. It would see where this would cause problems for most students.
In the sections I reviewed, the text was consistent.
If anything this book is too modular. It comes across as a compendium of notes from various courses that have been merged into one document.
As I mentioned previously, sequencing is definitely a problem. Control concepts are cited in the first 500 pages of the book, but are not explained to the reader until you get 500 pages further into the text.
The equations in this book are all a bit fuzzy looking. They appear to have been copied and pasted from other documents with too little resolution. Also, many of the figures also suffer from too few pixels. Today's students would not like it.
I did not find any grammatical errors.
I did not see anything of concern.
This book could serve as a good reference for a number of topics including instrumentation, statistics, P&IDs and process control. However, it really would not make a good undergraduate level textbook for many of the reasons I have cited above.
Table of Contents
Part I Process Control Introduction
- Chapter 1: Overview
- Chapter 2: Modeling Basics
- Chapter 3: Sensors and Actuators
- Chapter 4: Piping and Instrumentation Diagrams
- Chapter 5: Logical Modeling
- Chapter 6: Modeling Case Studies
Part II Chemical Process Controls
- Chapter 7: Mathematics for Control Systems
- Chapter 8: Optimization
- Chapter 9: PID Control
- Chapter 10: Dynamical Systems Analysis
- Chapter 11: Control Architectures
- Chapter 12: MIMO Control
Part III Statistical Analysis for Chemical Process Control
- Chapter 13: Statistics and Probability Background
- Chapter 14: Design of Experiments
Ancillary Material
Submit ancillary resourceAbout the Book
Process controls is a mixture between the statistics and engineering discipline that deals with the mechanism, architectures, and algorithms for controlling a process. Some examples of controlled processes are:
•Controlling the temperature of a water stream by controlling the amount of steam added to the shell of a heat exchanger.
•Operating a jacketed reactor isothermally by controlling the mixture of cold water and steam that flows through the jacket of a jacketed reactor.
•Maintaining a set ratio of reactants to be added to a reactor by controlling their flow rates.
•Controlling the height of fluid in a tank to ensure that it does not overflow.
About the Contributors
Author
Peter Woolf is an Assistant Professor College of Engineering Department of Chemical Engineering. The goal of the research in my group is to integrate experimental data together to create computational, systems-level models of how cancer initiates and grows.
- B.S. Cornell University, Chemical Engineering
- Ph.D. University of Michigan, Chemical Engineering