Design And Implementation Of Intelligent Manufacturing Systems: From Expert Systems, Neural Networks, To Fuzzy Logic

403 Pages·1995·18.077 MB·English

by  Hamid R. Parsaei, Mohammed Jamshidi.

Design and Implementation of
Intelligent Manufacturing Systems
From Expert Systems,
Neural Networks, to Fuzzy Logic
PRENTICE HALL SERIES ON ENVIRONMENTAL
AND INTELLIGENT MANUFACTURING SYSTEMS
M. Jamshidi, Editor
Volume 1: ROBOTICS AND REMOTE SYSTEMS FOR HAZARDOUS ENVIRONMENTS,
edited by M. Jamshidi and P. J. Eicker.
Volume 2: FUZZY LOGIC AND CONTROL: Software and Hardware Applkations, edited by
M. Jamshidi, N. Vadiee, and T. J. Ross.
Volume 3: ARTIFICIAL INTELLIGENCE IN OPTIMAL DESIGN
AND MANUFACTURING, edited by Z. Dong.
Volume 4: SOFT COMPUTING: Fuzzy Logic, Neural Networks, and Distributed Artificial
Intelligence, edited by F. Aminzadeh and M. Jamshidi.
Volume 5: NONLINEAR CONTROL OF ROBOTIC SYSTEMS
FOR ENVIRONMENTAL WASTE AND RESTORATION, by D. Dawson, M. Bridges, and
Z. Qu.
Volume 6: DESIGN AND IMPLEMENTATION OF INTELLIGENT MANUFACTURING
SYSTEMS: From Expert Systems, Neural Networks, to Fuzzy Logic, by H. R. Parsaei and
M. Jamshidi
Design and Implementation of
Intelligent Manufacturing Systems
From Expert Systems,
Neural Networks, to Fuzzy Logic
Editors
Hamid R. Parsaei
University of Louisville, USA
M. Jamshidi
University of New Mexico, USA
For book and bookstore information
Prentice Hall P T R
http://www.prenhall.com
gopher to gopher.prenhall.com Upper Saddle River, New Jersey 07458
Library of Congress Cataloging-in-Publication Data
Design and implementation of intelligent manufacturing systems: from expert systems,
neural networks, to fuzzy logic / editors Hamid R. Parsaei, Mo Jamshidi.
p. cm. — (Prentice-Hall series on environmental and intelligent manufacturing
systems)
Includes bibliographical references (p.) and index.
ISBN 0-13-458217-9
1. CAD/CAM systems 2. Manufacturing processes—Automation.
3. Expert systems (Computer science)—Industrial applications.
I. Parsaei, H. R. II. Jamshidi, Mohammad. III. Series.
TS155.6.D472 1995
670'.285-dc20 95-4068
CIP
Editorial/production supervision: Patti Guerrieri
Cover art: Aren Graphics
Manufacturing buyer: Alexis R. Heydi
Acquisitions editor: Bernard Goodwin
Editorial assistant: Diane Spina
©1995 by Prentice Hall PTR
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A Pearson Education Company
Upper Saddle River, NJ 07458
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ISBN 0-13-458217-9
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TO OUR FAMILIES
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TABLE OF CONTENTS
Chapter 1. Workcell Programming Language for Intelligent
Manufacturing Systems 1
A. Jana andD. M. Auslander
Chapter 2. An Intelligent System for Automating
the Inspection of Manufacturing Parts 19
M. D. Reimann andJ. Sarkis
Chapter 3. An Intelligent Hybrid System for Synthesis
and Control of a Metal Forming Process 39
A. F. Ali, C. A. Vassiliadis, J. S. Gunasekera
R. Anbajagance andS. McDonald
Chapter 4. Intelligent Diagnostics in Robotics and Integrated
Manufacturing Systems 65
J. Graham andJ. Guan
Chapter 5. Fuzzy Logic Controller for Part Routing 81
D. Ben-Arieh andE. S. Lee
Chapter 6. Fuzzy-Logic Control as an Industrial Control Language
for Embedded Controllers 107
S. Yeralan andB. Tan
Chapter 7. Using Neural Networks for the Automatic Monitoring
and Recognition of Signals in Manufacturing Processes 141
T. H. Hau andL. Lin
vii
viii Table of Contents
Chapter 8. Artificial Neural Network Approach
in Modeling of EDM and Wire-EDM Processes 161
G. Indurkhya, K. P. Rajurkar andR. Thautireddy
Chapter 9. A Knowledge-Based Expert System
for Selection of Industrial Robots 187
S. Shashikumar and A. K. Kamrani
Chapter 10. A Case-Based Knowledge System to Trouble
Shoot Failures in a Manufacturing Environment 211
E. C. Chung and C. A. Vassiliadis
Chapter 11. Partially-overlapped Systems: the Scheduling Problem 241
M. KamelandH. Ghenniwa
Chapter 12. An Object-Oriented Approach to
Feature-Based Process Planning 275
J. M. Usher
Chapter 13. Intelligent Feature Extraction
for Concurrent Design and Manufacturing 301
J. Dong, H. R. Parsaei and A. Kumar
Chapter 14. CAD in Automatic Machine Programming 325
B. O. Nnaji and T. S. Kang
Chapter 15. Fault Diagnosis of Large Manufacturing Processes 359
W. O. Traxell, A. V. Huffaker and W. F. Maulsby
AUTHOR INDEX 387
SUBJECT INDEX 389
Series Editor's Foreword
The world communities, for the most part, are searching for ways to cooperate with each other in
order to solve their emerging problems, which affects not only their own generation but future
generations as well. The concerns about our environment, energy supplies (the shortage of them),
water resources, food, and agriculture are some of the most urgent issues facing every nation of
the world. These issues will need to be continuously dealt with in every conceivable form.
This series was created three years ago to address the paramount issues of national economic
security and respect for our environment (air, water, soil, lakes, etc.) and the emergence of artifi-
cial intelligence as an integral attribute of today's and tomorrow's products. This series attempts
to build two bridges. The first is between manufacturing and environment, making environmental
issues an integral part of any manufacturing design process leading to environmentally friendly
manufacturing systems. The second is between manufacturing and artificial intelligence, leading
to what is now being called MIQ (Machine Intelligence Quotient Systems). Today, AI techniques
of expert systems, fuzzy logic, neural networks, and evolutionary algorithms have found their
ways, to different degrees, in a wide spectrum of manufactured products and manufacturing sys-
tems.
We invite concerned authors from all parts of the world and all walks of science, engineering,
and technology to come forth with proposals for this series of books, with the above concerns as a
motivating factor. Together we can disseminate the most relevant information to the world com-
munity for the betterment of mankind.
The current volume, superbly put together by Professor Hamid R. Parsaei of the University of
Louisville, is a step toward our goal. This volume attempts to close the gap between AI and man-
ufacturing. I would like to thank Professor Parsaei and all the fine authors of this volume for mak-
ing a difference with their research and opening new avenues for future generations.
Mohammad Jamshidi, Series Editor
Prentice Hall Series on:
Environmental and Intelligent Manufacturing Systems
ix