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 -