Original scientific paper

Acoustic emission as tool wear monitoring

Miroslav Duspara orcid.org/0000-0003-4249-9279 ; J. J. Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg Ivane Brlić Mažuranić 2, 35000 Slavonski Brod, Croatia
Kristian Sabo ; Department of Mathematics, J. J. Strossmayer University of Osijek, Trg Ljudevita Gaja 6, 31000 Osijek, Croatia
Antun Stoić ; J. J. Strossmayer University of Osijek, Mechanical Engineering Faculty in Slavonski Brod, Trg Ivane Brlić Mažuranić 2, 35000 Slavonski Brod, Croatia

Abstract

This paper describes a fast Fourier transformation and its application to monitoring tool wear. It describes the transformation of the collected signal during cutting from the time domain to the frequency. The introduction describes the discrete Fourier transform, DFT deficiency observed in a large number of samples. Therefore, its use in this case is fast Fourier transform. As an example, an indirect method for monitoring tool wear is shown, based on the measurement values of process variables (acoustic emission) and the relationship between tool wear and these values. Tool wear monitoring is a difficult task because many machining processes are non-linear time-variant systems, which makes them difficult to model and the signals obtained from sensors are dependent on a number of other factors, such as machining conditions.

Keywords

acoustic emission; FFT; tool wear; tool wear monitoring

Hrčak ID:

129100

URI

https://hrcak.srce.hr/129100

Publication date:

29.10.2014.

Article data in other languages: croatian

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