Online monitoring of deep drawing process by application of acoustic emission

authored by
B. A. Behrens, I. El-Galy, T. Huinink, C. Buse
Abstract

Acoustic emission (AE) is a very promising non-destructive testing technique. In this work, the feasibility of applying AE technique for online monitoring of deep drawing processes In the frequency range 50 -1000 kHz has been Investigated using the high-end professional acoustic emission system AMSY-5 (Vallen Systeme, Germany). The Investigated frequency range has proven Its suitability for the purpose of material characterization and failure analysis. The aim of the current research Is to detect and analyse deep drawing defects like cracking and wrinkling or other disturbing process faults like Insufficient lubrication or Incorrect positioning of blanks. The results presented In this paper show that not only product failure due to cracking, but also deviations in the process settings during the deep drawing process can be detected using simple AE signal parameters. Moreover, these preliminary Investigations showed that reproducible deviations of the acquired AE signal parameters could be detected for different sheet materials, thicknesses and geometries. In addition, remarkable changes in the AE activity could be observed by varying the blank holder force, the lubrication condition or the position of the blanks.

Organisation(s)
Institute of Metal Forming and Metal Forming Machines
Type
Conference contribution
Pages
385-389
No. of pages
5
Publication date
01.12.2011
Publication status
Published
Peer reviewed
Yes
ASJC Scopus subject areas
Polymers and Plastics
 

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