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Soft computing techniques, such as fuzzy logic, artificial neural networks and genetic algorithms, which can to some extent imitate the human brain, can possibly contribute to making the monitoring system more intelligent. | 6 1 Fundamentals Sensors in Manufacturing. Edited by . Tbnshoff I. Inasaki Copyright 2001 Wiley-VCH Verlag GmbH ISBNs 3-527-29558-5 Hardcover 3-527-60002-7 Electronic Fig. Evolution of monitoring system ra 15 0i Flexibility Soft computing techniques such as fuzzy logic artificial neural networks and genetic algorithms which can to some extent imitate the human brain can possibly contribute to making the monitoring system more intelligent. References 1 Shaw . Metal Cutting Principles Oxford Oxford University Press 1984. 2 Weck M. Werkzeugmaschinen Fertigungssysteme 1 Maschinenarten und Anwendungsbereiche 5. Auflage Berlin Springer 1998. 3 Usher . Sensors and Transducers London Macmillian 1985. 4 Sukvittyawong S. Inasaki I. JSME Int. Series 3 34 4 1991 546-552. 5 Sakakura M. Inasaki I. Ann. CIRP 42 1 1993 379-382. Principles of Sensors in Manufacturing D. Dornfeld University of California Berkeley CA USA Introduction New demands are being placed on monitoring systems in the manufacturing environment because of recent developments and trends in machining technology and machine tool design high-speed machining and hard turning for example . Numerous different sensor types are available for monitoring aspects of the manufacturing and machining environments. The most common sensors in the industrial machining environment are force power and acoustic emission AE sensors. This section first reviews the classification and description of sensor types and the particular requirements of sensing in manufacturing by way of a background and then the state of sensor technology in general. The section finishes with some insight into the future trends in sensing technology especially semiconductor-based sensors. Principles of Sensors in Manufacturing 7 In-process sensors constitute a significant technology helping manufacturers to meet the challenges inherent in manufacturing a new generation of precision components. In-process sensors play .