An optical-flow-based monitoring method for measuring translational motion in infrared-thermographic images of AFP processes

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Denkena, B.; Schmidt, C.; Timmermann, M.; Friedel, A.: An optical-flow-based monitoring method for measuring translational motion in infrared-thermographic images of AFP processes. In: Production Engineering 16 (2022), S. 569-578. DOI:

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Sum total of downloads: 41

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. © 2021, The Author(s).
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
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1 image of flag of Germany Germany 26 63.41%
2 image of flag of United States United States 6 14.63%
3 image of flag of China China 4 9.76%
4 image of flag of Turkey Turkey 2 4.88%
5 image of flag of Taiwan Taiwan 1 2.44%
6 image of flag of Macau Macau 1 2.44%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 1 2.44%

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