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- Title
Time–Frequency Approach for Cutting Tool Power Signal Separation in Face Milling Operations.
- Authors
Rubio, Eduardo; Jáuregui-Correa, Juan Carlos
- Abstract
Face milling is among the processes that can produce a high-precision surface finish. Tool condition monitoring and signal processing algorithms are under extensive research to improve production quality and productivity in machining processes. In the present research, the time–frequency analysis technique was applied to the signal obtained from a sensor integrated into the primary AC power circuitry during the milling of steel bars to evaluate its applicability in detecting the current variations associated with the cutting force. The signal acquired from the sensor was processed in the time–frequency domain using wavelet analysis, and the results were compared with the traditional time and frequency analyses. The results showed that the signal variations produced by the cutting force were well localized in the frequency spectra with both approaches. However, the wavelet processing method yielded a poorly defined cutting force signal shape due to the limited resolution inherent in the sub-bands containing the frequencies of interest.
- Subjects
MACHINING; WAVELET transforms; SIGNAL processing; ELECTRIC circuits; TIME-frequency analysis
- Publication
Applied Mechanics, 2024, Vol 5, Issue 1, p180
- ISSN
2673-3161
- Publication type
Article
- DOI
10.3390/applmech5010012