円板状工具の制振と切削状態の認識に関する研究

概要

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This paper describes a vibration control system and a recognition of cutting state in sawing by a circular saw blade. In the machining using a dcircular saw blade, unstable vibration in the rotating shaft direction of the tool is generated by the effect of cutting edge angle or rake angle of the tool. This vibration causes generation of the noise and the tool failure, and the productivity remarkably lowers. In this study, an improvement in the cutting stability is attempted by the reduction in the axial displacement of the tool by fastening the circular saw blade with coned disk springs. In addition, cutting state recognition system which is based on an artificial neural network is also proposed. In this system, power spectrums of the signals detected by a displacement detector and a sound-level meter are calculated to identify the cutting state. The input data of the artificial neural network are normalized by the maximum value of the power spectrum. The normarized patterns are utilized to identify whether the cutting state is stable or unstable. The vibration control system and the cutting state recognition system have been examined in cutting tests. The test results verify the effectiveness of the proposed systems for practical application.
公益社団法人精密工学会の論文
2001-07-05