The concept of chaos theory based optimal cutting tool chatter control
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abstract
Chaos theory is used to conceptualize a methodology to control cutting tool chatter in the turning process. The underlying information contained in a Mandelbrot set - developed from an existing nonlinear model of cutting tool dynamics - is supposed to be captured by a multilayer feed forward neural network. The neural network may be used as a control parameter variation selector in a control loop. We anticipate real-time implementation of the proposed methodology.
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Machine Tool, In-Line, and Robot Sensors and Controls