This advanced-level, interdisciplinary handbook draws together contributions from electrical, mechanical, and industrial engineers at the forefront of automation, control, and enhanced manufacturing processes.

Design and Implementation of Intelligent Manufacturing Systems explores such topics as:

• components of intelligent knowledge-based systems
• geometric modeling and feature-based design
• automatic machine programming
• adaptive control
• machine learning
• intelligent material handling systems
• feature-based automated process planning
• object-oriented manufacturing databases
• fuzzy logic control of manufacturing systems
• intelligent scheduling and cost estimating systems
• knowledge-based systems for equipment selection
• knowledge-based systems for cell formation and machine layout

Contents

1. Workcell programming language for intelligent manufacturing systems
2. An intelligent system for automating the inspection of manufacturing parts
3. An intelligent hybrid system for synthesis and control of a metal forming process
4. Intelligent diagnostics in robotics and integrated manufacturing systems
5. Fuzzy logic controller for part routing
6. Fuzzy logic control as an industrial control language for embeddd controllers
7. Using neural networks for the automatic monitoring and recognition of signals in manufacturing processes
8. Artificial neural network approach in modeling of EDM and wire-EDM processes
9. A knowledge based expert system for selection of industrial robots
10. A case based knowledge system to trouble shoot failures in a manufacturing environment
11. Partially overlapped systems: the scheduling problem
12. An object oriented approach to feature based process planning
13. Intelligent feature extraction for concurrent design and manufacturing
14. CAD in automatic machine programming
15. Fault diagnosis of large manufacturing processes

Index

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