ISSN:
1433-3015
Keywords:
Chaos theory
;
Chatter Control
;
Neural nets
;
Tool wear
;
Turning
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Abstract Given today's trend towards globalisation of markets, on-line quality control of manufacturing processes is deemed essential. We describe the use of neural networks and chaos theory to implement the idea of intelligent integrated diagnostics (IID) for this purpose. Our efforts are specifically concentrated on implementing IID in the turning process — a ubiquitous manufacturing process. We propose and develop two types of chaotic neurons — neural network architectures trained to capture the underlying chaotic dynamics of the turning process — to address the common problems of tool wear and chatter. The first, called the fractal estimation continuously estimates tool wear; the second, called theCOPAVAS, initiates optimal chatter control.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01225755
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