| Summary: | The progressive wear of cutting tools and other occurrences involved with chatter vibration often pose limiting
factors on the achievable productivity in machining processes. An effective in-process monitoring system for
tool condition therefore offers the unique advantage of relaxing the process parameter constraints and
optimizing the machining production rate. This paper briefly presents a monitoring technique using acoustic
emission (AE) signal in turning. An interpretation method of the AE signal using FFT is explored and attributed
the signal to the tool condition .The tool wear; the chipping and the tool breakdown all have their own effect on
acoustic emission (AE) signal generated during turning. The AE generated from the sources is investigated
based on the energy dissipation principle. Cutting tests were conducted to determine the amplitude relationship
between RMS AE and tool condition using FFT. The result shows that in gradual tool wear, the dominating
frequency range lies between 20 Hz – 260 Hz for the tool-work-material combination used. It is shown that the
FFT is capable to describe the AE signal and it deserves to extract features of the signals.
Key words: Acoustic emission, Fourier transform, Tool condition monitoring.
|
|---|