Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Lecture Notes in Production Engineering |
| Herausgeber (Verlag) | Springer Nature |
| Seiten | 111-121 |
| Seitenumfang | 11 |
| ISBN (elektronisch) | 978-3-031-18318-8 |
| ISBN (Print) | 978-3-031-18317-1 |
| Publikationsstatus | Veröffentlicht - 2 Feb. 2023 |
Publikationsreihe
| Name | Lecture Notes in Production Engineering |
|---|---|
| Band | Part F1163 |
| ISSN (Print) | 2194-0525 |
| ISSN (elektronisch) | 2194-0533 |
Abstract
The quality of deep-drawn parts is subject to uncontrollable fluctuations, triggered by material property variations and process deviations, which occur despite extensive quality controls along the entire process chain. Monitoring and controlling the draw-in of the sheet material—which is an indicator of a faultless deep drawing process—would allow for a significant increase in process robustness. However, this requires sensor systems suitable for the industrial environment, which so far do not exist. This paper presents a newly developed inductive sensor in thin-film technology for measuring the flange draw-in. The sensor was designed with the aid of finite-element-analysis and then manufactured using thin-film processes. After integration into a deep-drawing tool, the system was tested and validated. Afterwards, the detection of typical deep-drawing defects was investigated. It was demonstrated that the sensor system can reliably detect both cracks and wrinkles as well as the time at which they occur.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
- Volkswirtschaftslehre, Ökonometrie und Finanzen (insg.)
- Volkswirtschaftslehre, Ökonometrie und Finanzen (sonstige)
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
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- BibTex
- RIS
Lecture Notes in Production Engineering. Springer Nature, 2023. S. 111-121 (Lecture Notes in Production Engineering; Band Part F1163).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
}
TY - CHAP
T1 - Monitoring of the Flange Draw-In During Deep Drawing Processes Using a Thin-Film Inductive Sensor
AU - Fünfkirchler, T.
AU - Arndt, M.
AU - Hübner, S.
AU - Dencker, F.
AU - Wurz, M. C.
AU - Behrens, B. A.
N1 - Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/2/2
Y1 - 2023/2/2
N2 - The quality of deep-drawn parts is subject to uncontrollable fluctuations, triggered by material property variations and process deviations, which occur despite extensive quality controls along the entire process chain. Monitoring and controlling the draw-in of the sheet material—which is an indicator of a faultless deep drawing process—would allow for a significant increase in process robustness. However, this requires sensor systems suitable for the industrial environment, which so far do not exist. This paper presents a newly developed inductive sensor in thin-film technology for measuring the flange draw-in. The sensor was designed with the aid of finite-element-analysis and then manufactured using thin-film processes. After integration into a deep-drawing tool, the system was tested and validated. Afterwards, the detection of typical deep-drawing defects was investigated. It was demonstrated that the sensor system can reliably detect both cracks and wrinkles as well as the time at which they occur.
AB - The quality of deep-drawn parts is subject to uncontrollable fluctuations, triggered by material property variations and process deviations, which occur despite extensive quality controls along the entire process chain. Monitoring and controlling the draw-in of the sheet material—which is an indicator of a faultless deep drawing process—would allow for a significant increase in process robustness. However, this requires sensor systems suitable for the industrial environment, which so far do not exist. This paper presents a newly developed inductive sensor in thin-film technology for measuring the flange draw-in. The sensor was designed with the aid of finite-element-analysis and then manufactured using thin-film processes. After integration into a deep-drawing tool, the system was tested and validated. Afterwards, the detection of typical deep-drawing defects was investigated. It was demonstrated that the sensor system can reliably detect both cracks and wrinkles as well as the time at which they occur.
KW - Deep drawing
KW - Draw-in sensor
KW - Inductive sensor
KW - Process monitoring
KW - Thin-film sensor
UR - http://www.scopus.com/inward/record.url?scp=85166655570&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-18318-8_12
DO - 10.1007/978-3-031-18318-8_12
M3 - Contribution to book/anthology
AN - SCOPUS:85166655570
SN - 978-3-031-18317-1
T3 - Lecture Notes in Production Engineering
SP - 111
EP - 121
BT - Lecture Notes in Production Engineering
PB - Springer Nature
ER -