Artificial Intelligence In Chemical Engineering

Author: Thomas E. Quantrille
Publisher: Elsevier
ISBN: 0080571212
Size: 79.82 MB
Format: PDF
View: 3489
Download
Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. Allows the reader to learn AI quickly using inexpensive personal computers Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions Includes a computer diskette for an illustrated case study Demonstrates an expert system for separation synthesis (EXSEP) Presents a detailed review of published literature on expert systems and neural networks in chemical engineering

Artificial Intelligence In Chemical Engineering

Author: Thomas E. Quantrille
Publisher:
ISBN:
Size: 29.51 MB
Format: PDF, ePub, Docs
View: 2810
Download
Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. Key Features * Allows the reader to learn AI quickly using inexpensive personal computers * Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions * Includes a computer diskette for an illustrated case study * Demonstrates an expert system for separation synthesis (EXSEP) * Presents a detailed review of published literature on expert systems and neural networks in chemical engineering

Artificial Intelligence In Process Engineering

Author: Michael Mavrovouniotis
Publisher: Elsevier
ISBN: 0323153143
Size: 63.98 MB
Format: PDF, Docs
View: 101
Download
Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers.

Refinery Engineering

Author: Ai-Fu Chang
Publisher: John Wiley & Sons
ISBN: 3527666850
Size: 40.68 MB
Format: PDF
View: 6513
Download
A pioneering and comprehensive introduction to the complex subject of integrated refinery process simulation, using many of the tools and techniques currently employed in modern refineries. Adopting a systematic and practical approach, the authors include the theory, case studies and hands-on workshops, explaining how to work with real data. As a result, senior-level undergraduate and graduate students, as well as industrial engineers learn how to develop and use the latest computer models for the predictive modeling and optimization of integrated refinery processes. Additional material is available online providing relevant spreadsheets and simulation files for all the models and examples presented in the book.

Applications Of Metaheuristics In Process Engineering

Author: Jayaraman Valadi
Publisher: Springer
ISBN: 3319065084
Size: 70.11 MB
Format: PDF, Kindle
View: 5531
Download
Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns and static and dynamic optimization of chemical and bioreactors. This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics.

Application Of Artificial Intelligence In Process Control

Author: L. Boullart
Publisher: Elsevier
ISBN: 008091263X
Size: 32.73 MB
Format: PDF, Kindle
View: 7508
Download
This book is the result of a united effort of six European universities to create an overall course on the appplication of artificial intelligence (AI) in process control. The book includes an introduction to key areas including; knowledge representation, expert, logic, fuzzy logic, neural network, and object oriented-based approaches in AI. Part two covers the application to control engineering, part three: Real-Time Issues, part four: CAD Systems and Expert Systems, part five: Intelligent Control and part six: Supervisory Control, Monitoring and Optimization.

Using Artificial Intelligence In Chemistry And Biology

Author: Hugh Cartwright
Publisher: CRC Press
ISBN: 9780849384141
Size: 71.57 MB
Format: PDF, Docs
View: 2191
Download
Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to furnish the working experimental scientist and newcomer alike with the background necessary to utilize these methods. In response to the growing interest in the potential scientific applications of AI, Using Artificial Intelligence in Chemistry and Biology explains in a lucid, straightforward manner how these methods are used by scientists and what can be accomplished with them. Designed for those with no prior knowledge of AI, computer science, or programming, this book efficiently and quickly takes you to the point at which meaningful scientific applications can be investigated. The approach throughout is practical and direct, employing figures and illustrations to add clarity and humor to the topics at hand. Unique in scope, addressing the needs of scientists across a range of disciplines, this book provides both a broad overview and a detailed introduction to each of the techniques discussed. Chapters include an introduction to artificial intelligence, artificial neural networks, self-organizing maps, growing cell structures, evolutionary algorithms, cellular automata, expert systems, fuzzy logic, learning classifier systems, and evolvable developmental systems. The book also comes with a CD containing a complete version of the EJS software with which most of the calculations were accomplished. Encouraging a broader application of AI methods, this seminal work gives software designers a clearer picture of how scientists use AI and how to address those needs, and provides chemists, biologists, physicists, and others with the tools to increase the speed and efficiency of their work.

Applied Chemistry And Chemical Engineering Volume 3

Author: A. K. Haghi
Publisher: CRC Press
ISBN: 1351800167
Size: 71.63 MB
Format: PDF, ePub
View: 3385
Download
Understanding mathematical modeling is fundamental in chemical engineering. This book reviews, introduces, and develops the mathematical models that are most frequently encountered in sophisticated chemical engineering domains. The volume provides a collection of models illustrating the power and richness of the mathematical sciences in supplying insight into the operation of important real-world systems. It fills a gap within modeling texts, focusing on applications across a broad range of disciplines. The first part of the book discusses the general components of the modeling process and highlights the potential of modeling in the production of nanofibers. These chapters discuss the general components of the modeling process and the evolutionary nature of successful model building in the electrospinning process. Electrospinning is the most versatile technique for the preparation of continuous nanofibers obtained from numerous materials. This section of book summarizes the state-of-the art in electrospinning as well as updates on theoretical aspects and applications. Part 2 of the book presents a selection of special topics on issues in applied chemistry and chemical engineering, including nanocomposite coating processes by electrocodeposition method, entropic factors conformational interactions, and the application of artificial neural network and meta-heuristic algorithms. This volume covers a wide range of topics in mathematical modeling, computational science, and applied mathematics. It presents a wealth of new results in the development of modeling theories and methods, advancing diverse areas of applications and promoting interdisciplinary interactions between mathematicians, scientists, engineers and representatives from other disciplines.

Our Molecular Future

Author: Douglas Mulhall
Publisher: Prometheus Books
ISBN: 1615922679
Size: 10.17 MB
Format: PDF, ePub, Mobi
View: 5467
Download
This is a vital book for those who care about the environment, society and deploying new technology to check the destructive power of humankind.- Allan Thornton, President, Environmental Investigation Agency, Washington, DC., and recipient of the Albert Schweitzer MedalThis book will shake conventional environmental wisdom to its roots. ... A landmark work that should be read by environmentalists and businesspersons alike.- Patrick Moore, cofounder, Greenpeace; president, GreenspiritIn Our Molecular Future [Mulhall] neatly outlines why our increasing ability to manipulate single atoms and molecules is a concern, and lays out the opportunities and threats this technology presents. And it''s surprisingly readable, unlike most of the nanobabble in the science journals. In the end, as Mulhall admits, he poses more questions than he answers. But that''s a good place to start.-New ScientistI just finished reading Douglas Mulhall''s outstanding new book Our Molecular Future . . . and I highly recommend it. Put this one at the top of your list! . . . In an easy to read format, with very few forays into geek-speak, Mulhall presents his well considered and thoroughly researched theories. Overall, an excellent overview for those who wish to understand how disruptive and enabling technologies may save us from ourselves and from mother nature. And along the way you will learn a lot about how nanoscale technologies may enhance our lives, provide abundance for all, and greatly raise the standard of living for everyone. . . . Rating: five stars out of five.- Rocky Rawstern, Nanotech NowWhat Alvin Toffler''s Future Shock was to the 20th century, Our Molecular Future will be to the 21st century.'What will happen to our jobs, health care, and investments when the molecular revolution hits?How might artificial intelligence transform our lives?How can molecular technologies help us cope with climate changes, earthquakes, and other extreme natural threats?Our Molecular Future explores some intriguing possibilities that answer these questions and many others. Douglas Mulhall describes the exponential changes that are about to be wrought by the nanotechnology and robotic revolutions, which promise to reduce the scale of computing to the nanometerùa billionth of a meterùwhile increasing computing power to almost unimaginable levels.The resulting convergence of genetics, robotics, and artificial intelligence may give us hitherto undreamed-of capacities to transform our environment and ourselves. In the not-so-distant future, our world may include machines that scour our arteries to prevent heart disease, cars and clothes that change color at our whim, exotic products built in our own desktop factories, and enhancements to our personal financial security despite greatly accelerated obsolescence.But while technology is making these fantastic leaps, we may also encounter surprises that throw us into disarray: climate changes, earthquakes, or even a seemingly improbable asteroid collision. These extremes are not the nightmare scenarios of sensationalists, Mulhall stresses, nor are many of them human induced. Instead, they may be part of nature''s cycleùrecurring more often than we''ve thought possible.The good news is that this convergence of catastrophe and technological transformation may work to our advantage. If we''re smart, according to Mulhall, we can use molecular machines to protect ourselves from nature''s worst extremes, and harness their potential benefits to usher in an economic renaissance.This visionary link between future technology and past disasters is a valuable guide for every one of us who wants to be prepared for the twenty-first century.Further Praise for OUR MOLECULAR FUTURE:A provocative and profoundly convincing message from the future.- Graham Hancock, archaeological journalist and author of Fingerprints of the GodsIn a breezy, journalistic style, Our Molecular Future takes us on a tour through some of the issues that will preoccupy ma

Artificial Intelligence In Engineering Design Design Representation And Models Of Routine Design

Author: Christopher Tong
Publisher:
ISBN: 9780126605617
Size: 50.82 MB
Format: PDF, Mobi
View: 2195
Download
Artificial Intelligence in Engineering Design is a three-volume edited collection of key papers from the field of AI and design, aimed at providing a state-of-the art description of the field, and focusing on how ideas and methods from artificial intelligence can help engineers in the design of physical artifacts and processes. The books survey a wide variety of applications in the areas of civil, chemical, electrical, computer, VLSI, and mechanical engineering.