Details
| Original language | English |
|---|---|
| Pages (from-to) | 569-578 |
| Number of pages | 10 |
| Journal | Production Engineering |
| Volume | 16 |
| Issue number | 4 |
| Early online date | 19 Oct 2021 |
| Publication status | Published - Aug 2022 |
Abstract
This paper presents a novel method for a precise localization of the automated-fiber-placement head, without the need for a data access to the machine control. It is based on a sub-pixel accurate optical-flow-algorithm which determines information about the heads movement by means of the material flow in sequences of IR images. Using local curvatures in the temperature field of the IR images, feature matrices are created which can locally be compared to the features of successive images. Thus, the translation between images become visible. This enables the possibility to perform an accurate (16.8μm) and self-sufficient process monitoring that additionally is capable of capturing the motion and position information of the AFP system and can be linked to existing algorithms for defect detection and classification.
Keywords
- Automated-fiber-placement, Optical-flow, Prepreg, Process monitoring, Thermography
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Engineering, Vol. 16, No. 4, 08.2022, p. 569-578.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - An optical-flow-based monitoring method for measuring translational motion in infrared-thermographic images of AFP processes
AU - Denkena, Berend
AU - Schmidt, Carsten
AU - Timmermann, Marc
AU - Friedel, Andreas
N1 - Funding Information: The authors would like to thank the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for funding the research project “Effects of Detectable Defects (EDD)—Einfluss von Fertigungsfehlern in Automated-Fiber-Placement-Prozessen in dünnwandigen Kohlenstofffaserverbund-strukturen” (Project No.: 413627151). For further information, visit the website www.hpcfk.de .
PY - 2022/8
Y1 - 2022/8
N2 - This paper presents a novel method for a precise localization of the automated-fiber-placement head, without the need for a data access to the machine control. It is based on a sub-pixel accurate optical-flow-algorithm which determines information about the heads movement by means of the material flow in sequences of IR images. Using local curvatures in the temperature field of the IR images, feature matrices are created which can locally be compared to the features of successive images. Thus, the translation between images become visible. This enables the possibility to perform an accurate (16.8μm) and self-sufficient process monitoring that additionally is capable of capturing the motion and position information of the AFP system and can be linked to existing algorithms for defect detection and classification.
AB - This paper presents a novel method for a precise localization of the automated-fiber-placement head, without the need for a data access to the machine control. It is based on a sub-pixel accurate optical-flow-algorithm which determines information about the heads movement by means of the material flow in sequences of IR images. Using local curvatures in the temperature field of the IR images, feature matrices are created which can locally be compared to the features of successive images. Thus, the translation between images become visible. This enables the possibility to perform an accurate (16.8μm) and self-sufficient process monitoring that additionally is capable of capturing the motion and position information of the AFP system and can be linked to existing algorithms for defect detection and classification.
KW - Automated-fiber-placement
KW - Optical-flow
KW - Prepreg
KW - Process monitoring
KW - Thermography
UR - http://www.scopus.com/inward/record.url?scp=85117301756&partnerID=8YFLogxK
U2 - 10.1007/s11740-021-01084-w
DO - 10.1007/s11740-021-01084-w
M3 - Article
AN - SCOPUS:85117301756
VL - 16
SP - 569
EP - 578
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 4
ER -