Cutter tool failure detection in milling operations usingHilbert-Huang transform
博士 === 國立中央大學 === 機械工程研究所 === 98 === The presented study contains research related to cutter tool fault detection in machining process. Acceleration and cutting force signals were subjected to analysis in order to find characteristic feature for cutter tool fault detection. The new time – series ana...
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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46990433058327907991 |
| Summary: | 博士 === 國立中央大學 === 機械工程研究所 === 98 === The presented study contains research related to cutter tool fault detection in machining process. Acceleration and cutting force signals were subjected to analysis in order to find characteristic feature for cutter tool fault detection. The new time – series analysis technique Hilbert-Huang Transform (HHT) was applied to find a recognition pattern for successful tool fault or tool wear recognition. The results were compared to Fourier Transform (FT) which has been massively used to monitor cutting processes. The cutting force signal obtained from dynamometer measurements has shown its good characteristic in order to recognize a cutter tool geometric change which is actually a cutter tool fault. The acceleration signal has shown to be insensitive to cutter tool fault detection in both FT and HHT investigations. The sensitivity of both signals has shown to be a good tool for tool wear diagnostic. The sensitivity of different components has shown that axis which is perpendicular to feed rate is the most suitable for cutter tool conditions monitoring. The advantage of the HHT apart from processing of non-stationary and non-linear signal is absence of harmonics which has been very confusing in cutter tool fault or tool wear recognitions.
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