Acoustic emission as tool wear monitoring

被引：0

作者：

Duspara, Miroslav ^{[1
]}

Sabo, Kristian ^{[2
]}

Stoić, Antun ^{[1
]}

机构：

[1] J. J. Strossmayer University of Osijek, Trg Ivane Brlić Mažuranić 2, Slavonski Brod,35000, Croatia

[2] Department of Mathematics, J. J. Strossmayer University of Osijek, Trg Ljudevita Gaja 6, Osijek,31000, Croatia

来源：

Tehnicki Vjesnik | 2014年 / 21卷 / 05期

关键词：

Acoustic emission testing - Machining - Cutting tools - Wear of materials;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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. © 2014, Technical Gazette. All right reserved.

引用

页码：1097 / 1101