Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Special Edition |
| Untertitel | 10th International Conference on Technology of Plasticity, ICTP 2011 |
| Seiten | 385-389 |
| Seitenumfang | 5 |
| Publikationsstatus | Veröffentlicht - 1 Dez. 2011 |
| Veranstaltung | 10th International Conference on Technology of Plasticity, ICTP 2011 - Aachen, Deutschland Dauer: 25 Sept. 2011 → 30 Sept. 2011 |
Publikationsreihe
| Name | Special Edition: 10th International Conference on Technology of Plasticity, ICTP 2011 |
|---|
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.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Polymere und Kunststoffe
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Special Edition: 10th International Conference on Technology of Plasticity, ICTP 2011. 2011. S. 385-389 (Special Edition: 10th International Conference on Technology of Plasticity, ICTP 2011).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Online monitoring of deep drawing process by application of acoustic emission
AU - Behrens, B. A.
AU - El-Galy, I.
AU - Huinink, T.
AU - Buse, C.
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
KW - Acoustic emission
KW - Deep drawing
KW - Process control
UR - http://www.scopus.com/inward/record.url?scp=84898069584&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84898069584
SN - 9783514007840
T3 - Special Edition: 10th International Conference on Technology of Plasticity, ICTP 2011
SP - 385
EP - 389
BT - Special Edition
T2 - 10th International Conference on Technology of Plasticity, ICTP 2011
Y2 - 25 September 2011 through 30 September 2011
ER -