Ultrasonics 38 (2000) 604–608
www.elsevier.nl/locate/ultras
Some aspects of AE application in tool condition monitoring
Krzysztof Jemielniak *
Warsaw University of Technology, Narbutta 86, 02-524 Warsaw, Poland
Abstract
Acoustic emission (AE ) is rather a well-known form of non-destructive testing. In the last few years the technology of the AE
measurement has been expanded to cover the area of tool condition monitoring. The paper presents some experience of Warsaw
University of Technology ( WUT) in such applications of AE. It provides an interpretation of common AE signal distortions and
possible solutions to avoid them. Furthermore, a characteristic study of several different AE and ultrasonic sensors being used in
WUT is furnished. Evaluation of the applicability of some basic measures of acoustic emission for tool condition monitoring is
also presented in the paper. Finally paper presents a method of the catastrophic tool failure detection in turning, which uses
symptoms other than the direct magnitude AE
RMS
signal. The method is based on the statistical analysis of the distributions of
the AE
RMS
signal. © 2000 Elsevier Science B.V. All rights reserved.
Keywords: Acoustic emission; Tool condition monitoring
1. Introduction piezoelectric AE sensor is usually placed as close as
possible to the cutting zone. Low frequency noise com-
Rising labour cost makes production automation an ponents, which are inevitably present in AE signal, are
important priority in the major industrial countries. One considered to be not correlated with tool’s condition
of the most important factors limiting the progress in
and hence useless. In addition, they can be of high
introduction of unattended machine tool operation is
amplitude forcing usage of lower signal amplification.
tool condition monitoring ( TCM ). Numerous different
Therefore those components should be eliminated (high-
phenomena can be employed for this purpose and a
pass filtered) at the earliest possible stage of signal
variety of sensor types are available on the market, e.g.
processing, just after inevitable buffering. Sometimes the
Refs. [1–4]. Despite a growing number of publications
AE signal is then fed through a low-pass filter to get rid
presenting new, elegant methods of raw AE signal
of the high frequency noise components due to electric
processing, the methods have not been applied in indu-
sparks, etc. or to avoid aliasing. The raw AE signal
strial practice so far, where rather simple methods
(AE
raw
) can be demodulated in the form of the mean
prevail, utilising the demodulated (usually AE
RMS
) signal
value or RMS (AE
RMS
) to obtain a low frequency
[3]. However, existing tool condition monitoring sys-
variable, so it can be recorded or processed with conven-
tems, based on AE measurements, are still not consid-
tional, less expensive signal processing equipment.
ered reliable enough. Therefore it seems worthwhile to
Fig. 2 presents AE
raw
signal obtained from the broad
go back to some basic consideration concerning the AE
band transducer Bru ¨ el & Kjær 8312 without filtering,
signal processing and evaluation.
when cutting carbon steel 45 with conventional carbide
P30 worn out insert. The long view (Fig. 2(a)) shows
three bursts of nearly the same maximum amplitude. In
2. AE signal processing and interpretation
demodulated signal (analogue AE
RMS
, Fig. 2(b)) the
third burst reaches the highest value. Fragments marked
2.1. Measuring chain
with black rectangles under both figures are shown in
Fig. 2(c), and their amplitude spectra are presented in
The typical procedure of AE signal processing in
Fig. 2(d). The figures reveal the existence of a dominant
metal cutting follows the pattern shown in Fig. 1. The
low frequency component. It was caused by some
mechanical disturbances, and consequently should be
* Tel.: +48-22-6608-656; fax: +48-22-8490285.
E-mail address: k.jemielniak@wip.pw.edu.pl ( K. Jemielniak) filtered out as irrelevant to tool wear. Of course in the
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