Estimation of the tool condition by applying the wavelet transform to acoustic emission signals

被引：0
|
作者：
Gomez, M. P.
Piotrkowski, R.
Ruzzante, J. E.
D'Attellis, C. E.
机构：
[1] Univ Tecnol Nacl, FRBA, Dept Ingn Electron, Buenos Aires, DF, Argentina
[2] Univ Nacl Gral San Martin, ECyT, Buenos Aires, DF, Argentina
[3] Comis Nacl Energia Atom, UA ENDE, CAC, Grupo Ondas Elast, RA-1429 Buenos Aires, DF, Argentina
[4] Univ Tecnol Nacl, FRD, Buenos Aires, DF, Argentina
[5] Univ Favaloro, Buenos Aires, DF, Argentina
来源：
Review of Progress in Quantitative Nondestructive Evaluation, Vols 26A and 26B | 2007年 / 894卷
关键词：
acoustic emission; tool condition; machining processes; wear; wavelets;
D O I：
暂无
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
This work follows the search of parameters to evaluate the tool condition in machining processes. The selected sensing technique is acoustic emission and it is applied to a turning process of steel samples. The obtained signals are studied using the wavelet transformation. The tool wear level is quantified as a percentage of the final wear specified by the Standard ISO 3685. The amplitude and relevant scale obtained of acoustic emission signals could be related with the wear level.
引用
收藏
页码：635 / 641
页数：7
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