Thermal image-based monitoring for the automated fiber placement process

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • Carsten Schmidt
  • Berend Denkena
  • Klaas Völtzer
  • Tristan Hocke
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Details

Original languageEnglish
Pages (from-to)27-32
Number of pages6
JournalProcedia CIRP
Volume62
Publication statusPublished - 18 May 2017
Event10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME 2016 - Ischia, Italy
Duration: 20 Jul 201622 Jul 2016

Abstract

Due to increasing consumption of fiber-reinforced plastics (CFRP) especially in aerospace applications also production processes such as Automated Fiber Placement (AFP) gain in importance. However, manual visual inspection in the AFP quality assurance is time consuming and insufficient, not least through the low contrast of CFRP materials. The presented process monitoring for AFP bases on occurring temperature differences during the lay-up process. Therefore, a newly developed monitoring system containing an infrared camera integrated in the Fiber Placement head is presented. Its algorithm can localize tows as well as certain temperature anomalies. Combined with the process knowledge provided by the path planning defects can be detected online.

Keywords

    Automated Fiber Placement, Process Monitoring, Thermography

ASJC Scopus subject areas

Cite this

Thermal image-based monitoring for the automated fiber placement process. / Schmidt, Carsten; Denkena, Berend; Völtzer, Klaas et al.
In: Procedia CIRP, Vol. 62, 18.05.2017, p. 27-32.

Research output: Contribution to journalConference articleResearchpeer review

Schmidt, C, Denkena, B, Völtzer, K & Hocke, T 2017, 'Thermal image-based monitoring for the automated fiber placement process', Procedia CIRP, vol. 62, pp. 27-32. https://doi.org/10.1016/j.procir.2016.06.058
Schmidt, C., Denkena, B., Völtzer, K., & Hocke, T. (2017). Thermal image-based monitoring for the automated fiber placement process. Procedia CIRP, 62, 27-32. https://doi.org/10.1016/j.procir.2016.06.058
Schmidt C, Denkena B, Völtzer K, Hocke T. Thermal image-based monitoring for the automated fiber placement process. Procedia CIRP. 2017 May 18;62:27-32. doi: 10.1016/j.procir.2016.06.058
Schmidt, Carsten ; Denkena, Berend ; Völtzer, Klaas et al. / Thermal image-based monitoring for the automated fiber placement process. In: Procedia CIRP. 2017 ; Vol. 62. pp. 27-32.
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abstract = "Due to increasing consumption of fiber-reinforced plastics (CFRP) especially in aerospace applications also production processes such as Automated Fiber Placement (AFP) gain in importance. However, manual visual inspection in the AFP quality assurance is time consuming and insufficient, not least through the low contrast of CFRP materials. The presented process monitoring for AFP bases on occurring temperature differences during the lay-up process. Therefore, a newly developed monitoring system containing an infrared camera integrated in the Fiber Placement head is presented. Its algorithm can localize tows as well as certain temperature anomalies. Combined with the process knowledge provided by the path planning defects can be detected online.",
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T1 - Thermal image-based monitoring for the automated fiber placement process

AU - Schmidt, Carsten

AU - Denkena, Berend

AU - Völtzer, Klaas

AU - Hocke, Tristan

N1 - Funding information: The authors would like to thank the Central Innovation Program of SMEs (ZIM) for funding the research project Therm-O-Plan. They also thank the federal state of Lower Saxony and European Regional Development Fund (ERDF) for funding the preceding project HP CFK.

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AB - Due to increasing consumption of fiber-reinforced plastics (CFRP) especially in aerospace applications also production processes such as Automated Fiber Placement (AFP) gain in importance. However, manual visual inspection in the AFP quality assurance is time consuming and insufficient, not least through the low contrast of CFRP materials. The presented process monitoring for AFP bases on occurring temperature differences during the lay-up process. Therefore, a newly developed monitoring system containing an infrared camera integrated in the Fiber Placement head is presented. Its algorithm can localize tows as well as certain temperature anomalies. Combined with the process knowledge provided by the path planning defects can be detected online.

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