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ASTM Selected Technical Papers
Acoustic Emission: Current Practice and Future Directions
By
W Sachse
W Sachse
1
Cornell University
?
Ithaca, NY
USA
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K Yamaguchi
K Yamaguchi
2
University of Tokyo
?
Tokyo,
Japan
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J Roget
J Roget
3
Nordon & Cie
?
Nancy,
France
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ISBN-10:
0-8031-1389-7
ISBN:
978-0-8031-1389-3
No. of Pages:
459
Publisher:
ASTM International
Publication date:
1991

Monitoring cutting tools is a strong need in automated un-manned production systems. However tool breakage detection should be separated from tool wear monitoring. The works presented in this paper show that Acoustic Emission (AE) can be used for detecting tool breakage in most conditions and an industrial system is available. Tool wear monitoring is much more complex. As demonstrated by some results in turning and milling, there are a great number of influencing parameters. It appears that AE has also capabilities for tool wear monitoring but no industrial system is presently available. Expert system or intelligent system such as Neural Networks using multiparameter appear to be the best solution for the future.

1.
Tanguy
,
J.C.
, “
Les Moniteurs de Surveillance de l'Usinage à l'Epreuve des Ateliers de Production
”, in Surveillance automatique de l'usinage, solutions et applications industrielles,
CETIM
,
France
,
1987
.
2.
Sampath
,
A.
, and
Vajpayee
,
S.
, “
Tool Health Monitoring Using Acoustic Emission
”,
International Journal of Production Research
, Vol
25
, N∘
5
,
1987
, pp. 703–719.
3.
Roget
,
J.
Souquet
,
P.
, and
Gsib
N.
, “
Use of Acoustic Emission for In-Process Monitoring of Tool During Turning and Milling
”, Progress in A.E. III,
The Japanese Society of NDI
,
1986
, pp. 94–101.
4.
Jarnet
,
J.P.
, and
Pontier
,
J.M.
, “
Système de Détection de Bris d'Outil interprétant l'Emission Acoustique
”,
Le décolletage
Nr.
86
,
04
1989
, pp. 59–60.
5.
Dornfeld
,
D.A.
, and
Kannatey-Asibu
,
E.
, “
A Study of Tool Wear Using Statistical Analysis of Metal Cutting Acoustic Emission
”,
Wear
 0043-1648, Nr.
76
,
1982
, pp. 247–261.
6.
Blum
,
T.
,
Suzuki
,
I.
,
Inasaki
,
I.
, “
AE Monitoring Systems for the Detection of Single Point and Multipoint Cutting Tool Failures
”,
Journal of Acoustic Emission
, Vol
7
. Nr.
4
,
1988
, pp. 179–184.
7.
Agogino
,
A., M.
,
Scrinivas
,
S.
, and
Schneider
,
K., M.
, “
Multiple Sensor Expert System for Diagnostic Reasoning, Monitoring and Control of Mechanical Systems
”,
Mechanical systems and signal processing
, Vol
2
, Nr
2
,
1988
, 2, pp. 165–185.
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