Rabu, 30 April 2008

Chemical Engineering Reference BookFluidization, Solids Handling, and Processing - Industrial Application



Product Description

This volume, Fluidization, Solids Handling, and Processing, is the first of a series of volumes on "Particle Technology" to be published by Noyes Publications with Professor L. S. Fan of Ohio State University as the consulting editor. Particles are important products of chemical process industries spanning the basic and specialty chemicals, agricultural products, pharmaceuticals, paints, dyestuffs and pigments, cement, ceramics, and electronic materials. Solids handling and processing technologies are thus essential to the operation and competitiveness of these industries. Fluidization technology is employed not only in chemical production, it also is applied in coal gasification and combustion for power generation, mineral processing, food processing, soil washing and other related waste treatment, environmental remediation, and resource recovery processes. The FCC (Fluid Catalytic Cracking) technology commonly employed in the modern petroleum refineries is also based on fluidization principles.

There are many books published on the subjects of fluidization, solids handling, ad processing. However, the Author found that some industrially important subjects were either not covered in those books or were skimpily rendered. He felt that it would be a service to the profession and the engineering community to assemble all these topics in one volume. In this book, he has invited recognized experts in their respective areas to provide a detailed treatment of those industrially important subjects. The subject areas covered in this book were selected based on two criteria: (1) the subjects are of industrial importance, and (2) the subjects have not been covered extensively in books published to date.

The primary emphasis of the book is for industrial applications and the primary audience is expected to be the practitioners of the art of fluidization, solids handling, and processing. It will be particularly beneficial for engineers who operate design plants where solids are handled, transported, and processed using fluidization technology. The book, however, can also be useful as a reference book for students, teachers, and managers who study the particle technology especially in the areas of application of fluidization technology and pneumatic transport.

Key Features:

Focuses on industrially important subjects not covered in other texts.

Useful reference for students, teachers and managers who study particle technology.

Particularly beneficial for engineers who operate or design plants where solids are handled, transported, and processed using fluidization technology.



Book Info
Emphasizes industrial applications and the primary audience is expected to be practitioners of fluidization, solids handling, and processing. DLC: Fluidization.

About the Author

Wen-Ching Yang is an Advisory Engineer with Westinghouse Electric Company in the Science and Technology Center. He received his Ph.D. in Chemical Engineering from Carnegie Mellon University. The author is a lecturer on Fluid Bed Technology, a continuing education course of AIChE Today Series, and has won the Fluidized Processes Recognition Award from the Particle Technology Forum of AIChE in 1993.

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Sabtu, 26 April 2008

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Jumat, 25 April 2008

Chemical Engineering Reference Book:Materials Selection handbook


ABOUT THE AUTHOR
Nicholas P. Cheremisinoff is a private consultant to industry,
academia, and government. He has nearly twenty years of
industry and applied research experience in elastomers,
synthetic fuels, petrochemicals manufacturing, and environmental
control. A chemical engineer by trade, he has authored
over 100 engineering textbooks and has contributed extensively
to the industrial press, He is currently working for the United
States Agency for International Development in Eastern
Ukraine, where he is managing the Industrial Waste Management
Project. Dr. Cheremisinoff received his B.S., M.S., and
Ph.D. degrees from Clarkson College of Technology

NOTICE
To the best of our knowledge the information in this publication
is accurate; however, the Publisher does not assume
any responsibility or liability for the accuracy or completeness
of, or consequences arising from, such information. This book
is intended for informational purposes only. Mention of trade
names or commercial products does not constitute endorsement
or recommendation for use by the Publisher. Final determination
of the suitability of any information or product for use
contemplated by any user, and the manner of that use, is the
sole responsibility of the user. We recommend that anyone intending
to rely on any recommendation of materials or procedures
mentioned in this publication should satisfy himself as
to such suitability, and that he can meet all applicable safety
and health standards.

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Kamis, 24 April 2008

Chemical Engineering Reference Book: Handbook of Chemical Processing Equipment


Editorial Reviews
Product Description
The Handbook of Chemical Process Equipment is a major reference on process equipment. It provides practical understanding and description of the working principles, intended applications, selection criteria and fundamental design principles for equipment used throughout the process and allied chemical industries.

It is an important reference for engineers, and in particular chemical engineers who will use such a volume throughout their studies and careers. Each major unit operation and equipment associated with the operation is described in sufficient detail for the reader to obtain practical knowledge of the equipment's limitations and typical applications. The book contains sufficient working examples and references for the user to refer to more in-depth treatment of individual subject areas.

A practical reference for chemical process equipment
Can be used throughout the process and allied chemical industries
Unit operations and equipment described in detail

Book Info
A major reference work on process equipment. Provides practical understanding and descriptions of the working principles, intended applications, selection criteria, and fundamental design principles for equipment used throughout the process and allied chemical industries. DLC: Chemical plants--Equipment and supplies.

From the Publisher
It is an important reference for engineers, and in particular chemical engineers who will use such a volume throughout their studies and careers. Each major unit operation and equipment associated with the operation is described in sufficient detail for the reader to obtain practical knowledge of the equipment's limitations and typical applications. The book contains sufficient working examples and references for the user to refer to more in-depth treatment of individual subject areas.

About the Author
Nicholas P. Cheremisinoff, Ph.D. (Ch.E.) is Director of Clean Technologies and Pollution Prevention Projects at PERI (Princeton Energy Resources International, LLC, Rockville, MD). He has led hundreds of pollution prevention audits and demonstrations; training programs on modern process design practices and plant safety; environmental management and product quality programs; and site assessments and remediation plans for both public and private sector clients throughout the world. He frequently serves as expert witness on personal injury and third-party property damage litigations arising from environmental catastrophes. Dr. Cheremisinoff has contributed extensively to the literature of environmental and chemical engineering as author, co-author, or editor of 150 technical reference books, including Butterworth-Heinemanns Handbook of Chemical Processing Equipment, and Green Profits.
He holds advanced degrees in chemical engineering from Clarkson College of Technology."


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Chemical Engineering Reference Book Fluidization, Solids Handling, and Processing - Industrial Application


Editorial Reviews
Product Description

This volume, Fluidization, Solids Handling, and Processing, is the first of a series of volumes on "Particle Technology" to be published by Noyes Publications with Professor L. S. Fan of Ohio State University as the consulting editor. Particles are important products of chemical process industries spanning the basic and specialty chemicals, agricultural products, pharmaceuticals, paints, dyestuffs and pigments, cement, ceramics, and electronic materials. Solids handling and processing technologies are thus essential to the operation and competitiveness of these industries. Fluidization technology is employed not only in chemical production, it also is applied in coal gasification and combustion for power generation, mineral processing, food processing, soil washing and other related waste treatment, environmental remediation, and resource recovery processes. The FCC (Fluid Catalytic Cracking) technology commonly employed in the modern petroleum refineries is also based on fluidization principles.

There are many books published on the subjects of fluidization, solids handling, ad processing. However, the Author found that some industrially important subjects were either not covered in those books or were skimpily rendered. He felt that it would be a service to the profession and the engineering community to assemble all these topics in one volume. In this book, he has invited recognized experts in their respective areas to provide a detailed treatment of those industrially important subjects. The subject areas covered in this book were selected based on two criteria: (1) the subjects are of industrial importance, and (2) the subjects have not been covered extensively in books published to date.

The primary emphasis of the book is for industrial applications and the primary audience is expected to be the practitioners of the art of fluidization, solids handling, and processing. It will be particularly beneficial for engineers who operate design plants where solids are handled, transported, and processed using fluidization technology. The book, however, can also be useful as a reference book for students, teachers, and managers who study the particle technology especially in the areas of application of fluidization technology and pneumatic transport.

Key Features:

Focuses on industrially important subjects not covered in other texts.

Useful reference for students, teachers and managers who study particle technology.

Particularly beneficial for engineers who operate or design plants where solids are handled, transported, and processed using fluidization technology.


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Rabu, 23 April 2008

Chemical Engineering Reference Book Fluid Flow for Chemical Engineers


By: Holland, F.A.; Bragg, R. © 1995 Elsevier

Description:In preparing the second edition of this book, the authors have been concerned to maintain or expand those aspects of the subject that are specific to chemical and process engineering.


Table of Contents

Data (Records) Text







Expand this node Front Matter

Preface to the Second Edition

List of Examples

Table of Contents

Expand this node 1. Fluids in Motion

Expand this node 2. Flow of Incompressible Newtonian Fluids in Pipes and Channels

Expand this node 3. Flow of Incompressible Non-Newtonian Fluids in Pipes

Expand this node 4. Pumping of Liquids

Expand this node 5. Mixing of Liquids in Tanks

Expand this node 6. Flow of Compressible Fluids in Conduits

Expand this node 7. Gas-Liquid Two-Phase Flow

Expand this node 8. Flow Measurement

Expand this node 9. Fluid Motion in the Presence of Solid Particles
Expand this node 10. Introduction to Unsteady Flow
Expand this node Appendices

Answers to Problems

Conversion Factors

Friction Factor Charts

Index

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Selasa, 22 April 2008

Intelligent Systems for Engineers and Scientists, Second Edition

The author


Adrian Hopgood has earned his BSc from Bristol University, PhD from
Oxford University, and MBA from the Open University. After completing his
PhD in 1984, he spent two years developing applied intelligent systems for
Systems Designers PLC. He subsequently joined the academic staff of the
Open University, where he has established his research in intelligent systems
and their application in engineering and science. Between 1990 and 1992 he
worked for Telstra Research Laboratories in Australia, where he contributed to
the development of intelligent systems for telecommunications applications.
Following his return to the Open University he led the development of the
course T396 – Artificial Intelligence for Technology. He has further developed
his interests in intelligent systems and pioneered the development of the
blackboard system, ARBS.

Chapter one: Introduction
1.1 Intelligent systems
1.2 Knowledge-based systems
1.3 The knowledge base
1.4 Deduction, abduction, and induction
1.5 The inference engine
1.6 Declarative and procedural programming
1.7 Expert systems
1.8 Knowledge acquisition
1.9 Search
1.10 Computational intelligence
1.11 Integration with other software
References
Further reading

Chapter two: Rule-based systems
2.1 Rules and facts
2.2 A rule-based system for boiler control
2.3 Rule examination and rule firing
2.4 Maintaining consistency
2.5 The closed-world assumption
2.6 Use of variables within rules
2.7 Forward-chaining (a data-driven strategy)
2.7.1 Single and multiple instantiation of variables
2.7.2 Rete algorithm
2.8 Conflict resolution
2.8.1 First come, first served
2.8.2 Priority values
2.8.3 Metarules
2.9 Backward-chaining (a goal-driven strategy)
2.9.1 The backward-chaining mechanism
2.9.2 Implementation of backward-chaining
2.9.3 Variations of backward-chaining
2.10 A hybrid strategy
2.11 Explanation facilities
2.12 Summary
References
Further reading
Chapter three: Dealing with uncertainty
3.1 Sources of uncertainty
3.2 Bayesian updating
3.2.1 Representing uncertainty by probability
3.2.2 Direct application of Bayes’ theorem
3.2.3 Likelihood ratios
3.2.4 Using the likelihood ratios
3.2.5 Dealing with uncertain evidence
3.2.6 Combining evidence
3.2.7 Combining Bayesian rules with production rules
3.2.8 A worked example of Bayesian updating
3.2.9 Discussion of the worked example
3.2.10 Advantages and disadvantages of Bayesian updating
3.3 Certainty theory
3.3.1 Introduction
3.3.2 Making uncertain hypotheses
3.3.3 Logical combinations of evidence
3.3.4 A worked example of certainty theory
3.3.5 Discussion of the worked example
3.3.6 Relating certainty factors to probabilities
3.4 Possibility theory: fuzzy sets and fuzzy logic
3.4.1 Crisp sets and fuzzy sets
3.4.2 Fuzzy rules
3.4.3 Defuzzification
3.5 Other techniques
3.5.1 Dempster–Shafer theory of evidence
3.5.2 Inferno
3.6 Summary
References
Further reading
Chapter four: Object-oriented systems
4.1 Objects and frames
4.2 An illustrative example
4.3 Introducing OOP
4.4 Data abstraction
4.4.1 Classes
4.4.2 Instances
4.4.3 Attributes (or data members)
4.4.4 Operations (or methods or member functions)
4.4.5 Creation and deletion of instances
4.5 Inheritance

4.5.1 Single inheritance
4.5.2 Multiple and repeated inheritance
4.5.3 Specialization of methods
4.5.4 Browsers
4.6 Encapsulation
4.7 Unified Modeling Language (UML)
4.8 Dynamic (or late) binding
4.9 Message passing and function calls
4.9.1 Pseudovariables
4.9.2 Metaclasses
4.10 Type checking
4.11 Further aspects of OOP
4.11.1 Persistence
4.11.2 Concurrency
4.11.3 Overloading
4.11.4 Active values and daemons
4.12 Frame-based systems
4.13 Summary
References
Further reading
Chapter five: Intelligent agents
5.1 Characteristics of an intelligent agent
5.2 Agents and objects
5.3 Agent architectures
5.3.1 Logic-based architectures
5.3.2 Emergent behavior architectures
5.3.3 Knowledge-level architectures
5.3.4 Layered architectures
5.4 Multiagent systems
5.4.1 Benefits of a multiagent system
5.4.2 Building a multiagent system
5.4.3 Communication between agents
5.5 Summary
References
Further reading
Chapter six: Symbolic learning
6.1 Introduction
6.2 Learning by induction
6.2.1 Overview
6.2.2 Learning viewed as a search problem
6.2.3 Techniques for generalization and specialization
6.3 Case-based reasoning (CBR)
6.3.1 Storing cases
6.3.2 Retrieving cases

6.3.3 Adapting case histories
6.3.4 Dealing with mistaken conclusions
6.4 Summary
References
Further reading
Chapter seven: Optimization algorithms
7.1 Optimization
7.2 The search space
7.3 Searching the search space
7.4 Hill-climbing and gradient descent algorithms
7.4.1 Hill-climbing
7.4.2 Steepest gradient descent or ascent
7.4.3 Gradient-proportional descent
7.4.4 Conjugate gradient descent or ascent
7.5 Simulated annealing
7.6 Genetic algorithms
7.6.1 The basic GA
7.6.2 Selection
7.6.3 Gray code
7.6.4 Variable length chromosomes
7.6.5 Building block hypothesis
7.6.6 Selecting GA parameters
7.6.7 Monitoring evolution
7.6.8 Lamarckian inheritance
7.6.9 Finding multiple optima
7.6.10 Genetic programming
7.7 Summary
References
Further reading
Chapter eight: Neural networks
8.1 Introduction
8.2 Neural network applications
8.2.1 Nonlinear estimation
8.2.2 Classification
8.2.3 Clustering
8.2.4 Content-addressable memory
8.3 Nodes and interconnections
8.4 Single and multilayer perceptrons
8.4.1 Network topology
8.4.2 Perceptrons as classifiers
8.4.3 Training a perceptron
8.4.4 Hierarchical perceptrons
8.4.5 Some practical considerations
8.5 The Hopfield network

8.6 MAXNET
8.7 The Hamming network
8.8 Adaptive Resonance Theory (ART) networks
8.9 Kohonen self-organizing networks
8.10 Radial basis function networks
8.11 Summary
References
Further reading
Chapter nine: Hybrid systems
9.1 Convergence of techniques
9.2 Blackboard systems
9.3 Genetic-fuzzy systems
9.4 Neuro-fuzzy systems
9.5 Genetic-neural systems
9.6 Clarifying and verifying neural networks
9.7 Learning classifier systems
9.8 Summary
References
Further reading
Chapter ten: Tools and languages
10.1 A range of intelligent systems tools
10.2 Expert system shells
10.3 Toolkits and libraries
10.4 Artificial intelligence languages
10.4.1 Lists
10.4.2 Other data types
10.4.3 Programming environments
10.5 Lisp
10.5.1 Background
10.5.2 Lisp functions
10.5.3 A worked example
10.6 Prolog
10.6.1 Background
10.6.2 A worked example
10.6.3 Backtracking in Prolog
10.7 Comparison of AI languages
10.8 Summary
References
Further reading
Chapter eleven: Systems for interpretation and diagnosis
11.1 Introduction
11.2 Deduction and abduction for diagnosis

11.3 Depth of knowledge
11.3.1 Shallow knowledge
11.3.2 Deep knowledge
11.3.3 Combining shallow and deep knowledge
11.4 Model-based reasoning
11.4.1 The limitations of rules
11.4.2 Modeling function, structure, and state
11.4.3 Using the model
11.4.4 Monitoring
11.4.5 Tentative diagnosis
11.4.6 Fault simulation
11.4.7 Fault repair
11.4.8 Using problem trees
11.4.9 Summary of model-based reasoning
11.5 Case study: a blackboard system
for interpreting ultrasonic images
11.5.1 Ultrasonic imaging
11.5.2 Knowledge sources in ARBS
11.5.3 Rules in ARBS
11.5.4 Inference engines in ARBS
11.5.5 The stages of image interpretation
11.5.6 The use of neural networks
11.5.7 Rules for verifying neural networks
11.6 Summary
References
Further reading
Chapter twelve: Systems for design and selection
12.1 The design process
12.2 Design as a search problem
12.3 Computer aided design
12.4 The product design specification (PDS):
a telecommunications case study
12.4.1 Background
12.4.2 Alternative views of a network
12.4.3 Implementation
12.4.4 The classes
12.4.5 Summary of PDS case study
12.5 Conceptual design
12.6 Constraint propagation and truth maintenance
12.7 Case study: the design of a lightweight beam
12.7.1 Conceptual design
12.7.2 Optimization and evaluation
12.7.3 Detailed design
12.8 Design as a selection exercise
12.8.1 Overview

12.8.2 Merit indices
12.8.3 The polymer selection example
12.8.4 Two-stage selection
12.8.5 Constraint relaxation
12.8.6 A naive approach to scoring
12.8.7 A better approach to scoring
12.8.8 Case study: the design of a kettle
12.8.9 Reducing the search space by classification
12.9 Failure mode and effects analysis (FMEA)
12.10 Summary
References
Further reading
Chapter thirteen: Systems for planning
13.1 Introduction
13.2 Classical planning systems
13.3 STRIPS
13.3.1 General description
13.3.2 An example problem
13.3.3 A simple planning system in Prolog
13.4 Considering the side effects of actions
13.4.1 Maintaining a world model
13.4.2 Deductive rules
13.5 Hierarchical planning
13.5.1 Description
13.5.2 Benefits of hierarchical planning
13.5.3 Hierarchical planning with ABSTRIPS
13.6 Postponement of commitment
13.6.1 Partial ordering of plans
13.6.2 The use of planning variables
13.7 Job-shop scheduling
13.7.1 The problem
13.7.2 Some approaches to scheduling
13.8 Constraint-based analysis
13.8.1 Constraints and preferences
13.8.2 Formalizing the constraints
13.8.3 Identifying the critical sets of operations
13.8.4 Sequencing in the disjunctive case
13.8.5 Sequencing in the nondisjunctive case
13.8.6 Updating earliest start times and latest finish times
13.8.7 Applying preferences
13.8.8 Using constraints and preferences
13.9 Replanning and reactive planning
13.10 Summary
References
Further reading

Chapter fourteen: Systems for control
14.1 Introduction
14.2 Low-level control
14.2.1 Open-loop control
14.2.2 Feedforward control
14.2.3 Feedback control
14.2.4 First- and second-order models
14.2.5 Algorithmic control: the PID controller
14.2.6 Bang-bang control
14.3 Requirements of high-level (supervisory) control
14.4 Blackboard maintenance
14.5 Time-constrained reasoning
14.5.1 Prioritization of processes and knowledge sources
14.5.2 Approximation
14.5.3 Single and multiple instantiation
14.6 Fuzzy control
14.6.1 Crisp and fuzzy control
14.6.2 Firing fuzzy control rules
14.6.3 Defuzzification
14.6.4 Some practical examples of fuzzy controllers
14.7 The BOXES controller
14.7.1 The conventional BOXES algorithm
14.7.2 Fuzzy BOXES
14.8 Neural network controllers
14.8.1 Direct association of state variables
with action variables
14.8.2 Estimation of critical state variables
14.9 Statistical process control (SPC)
14.9.1 Applications
14.9.2 Collecting the data
14.9.3 Using the data
14.10 Summary
References
Further reading
Chapter fifteen: Concluding remarks
15.1 Benefits
15.2 Implementation
15.3 Trends
References

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Senin, 21 April 2008

Membrane Separation Systems - Recent Developments and Future Direction


This book discusses recent developments and future directions in the field of
membrane separation systems. It describes research needed to bring energy-saving
membrane separation processes to technical and commercial readiness for
commercial acceptance within the next 5 to 20 years. The assessment was conducted
by a group of six internationally known membrane separations experts
who examined the worldwide status of research in the seven major membrane
areas. This encompassed four mature technology areas: reverse osmosis, microfiltration,
ultrafiltration, and electrodialysis; two developing areas: gas separation
and pervaporation; and one emerging technology: facilitated transport.
Membrane based separation technology, a relative newcomer on the separation
scene, has demonstrated the potential of saving enormous amounts of energy
in the processing industries if substituted for conventional separation systems.
It has been estimated that over 1 quad annually, out of 2.6, can possibly be
saved in liquid-to-gas separations, alone, if membrane separation systems gain
wider acceptance. In recent years great strides have been made in the field and
even greater future energy savings should be available when these systems are
substituted for such conventional separation techniques as distillation, evaporation,
filtration, sedimentation, and absorption.
The book pays particular attention to identifying currently emerging innovative
processes, and to further improvements which could gain even wider acceptance
for the more mature membrane technologies. In all, 38 priority research
areas were selected and ranked in order of priority, according to their relevance,
likelihood of success, and overall impact. Rationale was presented for all the
final selections; and the study was peer reviewed by an additional ten experts.
The topics that were pointed out as having the greatest research emphasis are
pervaporation for organic-organic separations; gas separations; microfiltration;
an oxidant-resistant reverse osmosis membrane; and a fouling-resistant ultrafiltration
membrane.

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Sabtu, 19 April 2008

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Kamis, 17 April 2008

Handbook of composites


Book Description

This new edition of the Handbook of Composites follows the first edition in providing up-to-date information on materials, processes, and applications of composite materials. In addition to describing current developments in the industry, it provides readily accessible information on test methodology and design analysis techniques. Coverage has been expanded to include the new material forms of metal-matrix, carbon-carbon and ceramic composites as well as polymeric-based composites. This second edition covers technologies for all new materials as well as modeling, characterization and testing techniques. All resin systems in current use are covered as well as speciality resins such as BMIs and cyanates, newer high-temperature resins and thermoplastics. The fibers section has been updated and a new section on particulate reinforcements has also been added. All traditional processing methods involving autoclaves, filament winding, pultrusion, table rolling and textile preforming are included along with the newer processes of resin transfer molding, fiber placement, and thermoplastic processing. An extensive discussion of composite surface treatment, mechanical fastening and adhesive bonding has been added. The design and analysis section has been expanded with chapters dealing with laminate and composite structure design, analysis methods and the new important subject of design allowables substantiation. There are new chapters on damage tolerance, repair, safety and reuse of composites as well as applications of composites to medical, construction and sporting goods. With contribution from an international team of experts, the Handbook of Composites will continue to be the primary reference in the composites field.

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Rabu, 16 April 2008

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