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Chatter detection and suppression/control is an effective way to ensure the quality of workpiece in machining process. In this paper, a new method is proposed to detect early chatter before the workpiece surface is deteriorated. As a preparation work, various samples in stable cutting conditions are collected to train the self-organizing map (SOM) neural network. During online chatter monitoring,...
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