Monitoring of Tool Wear States in Turning Based on Wavelet Analysis
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概要
- 論文の詳細を見る
In this paper, a novel signal processing tool, the wavelet transform, was applied to monitor the flank wear states in turning. The wavelet transforms were implemented by FWT(fast wavelet transform)based on a QMF(quadrature mirror filter). The expansion coefficients d(j, k)with time-frequency feature obtained by FWT were used as recognition parameters of the flank wear states. The dynamic characteristics of the cutting force signals were analyzed separately using the wavelet transform and the Fourier transform. The abilities of these two transforms for analyzing and recognizing the flank wear states were compared. The experimental and analytical results show that when monitoring the flank wear states during turning, the wavelet analysis is more sensitive, more reliable and faster than the Fourier analysis.
- 一般社団法人日本機械学会の論文
- 1997-09-15
著者
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Obikawa Toshiyuki
Department Of Mechanical And Control Engineering Tokyo Institute Of Technology
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Obikawa Toshiyuki
Department Of Mechano-aerospace Engineering Tokyo Institute Of Technology
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GONG Weiguo
Department of Mechano-Aerospace Engineering, Tokyo Institute of Technology
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SHIRAKASHI Takahiro
Department of Mechano-Aerospace Engineering, Tokyo Institute of Technology
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Gong Weiguo
Department Of Mechano-aerospace Engineering Tokyo Institute Of Technology
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Shirakashi Takahiro
Department Of Mechano-aerospace Engineering Tokyo Institute Of Technology
関連論文
- Surface Generation Model in Grinding with Effect of Grain Shape and Cutting Speed(Grinding technology)
- Monitoring of Tool Wear States in Turning Based on Wavelet Analysis
- Surface Generation Model in Grinding with Effect of Grain Shape and Cutting Speed(Advanced Manufacturing Technology [I])