Influence of AFP process parameters on the temperature distribution used for thermal in-process monitoring

Research output: Contribution to journalConference articleResearchpeer review

Authors

  • C. Schmidt
  • B. Denkena
  • T. Hocke
  • K. Völtzer
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Details

Original languageEnglish
Pages (from-to)68-73
Number of pages6
JournalProcedia CIRP
Volume66
Publication statusPublished - 6 Jun 2017
Event1st CIRP Conference on Composite Materials Parts Manufacturing, CIRP CCMPM 2017 - Karlsruhe, Germany
Duration: 8 Jun 20179 Jun 2017

Abstract

Automated Fiber Placement is an important manufacturing process when it comes to aerospace part generation. To minimize the machine downtime, an online monitoring system is necessary to prevent time consuming visual inspection. Therefore, a new thermal in-process monitoring system is integrated. Herewith spotted temperature difference enable the localization of placed tows and detection of defects. The thermal contrast between subsurface and tows depends on different process parameters such as lay-up speed, tooling temperature and compaction pressure. This influence is analyzed and discussed within lay-up studies to gain further knowledge about the different effects to increase the reliability of in-process monitoring as well as AFP processes.

Keywords

    Automated Fiber Placement, Process Monitoring, Thermography

ASJC Scopus subject areas

Cite this

Influence of AFP process parameters on the temperature distribution used for thermal in-process monitoring. / Schmidt, C.; Denkena, B.; Hocke, T. et al.
In: Procedia CIRP, Vol. 66, 06.06.2017, p. 68-73.

Research output: Contribution to journalConference articleResearchpeer review

Schmidt C, Denkena B, Hocke T, Völtzer K. Influence of AFP process parameters on the temperature distribution used for thermal in-process monitoring. Procedia CIRP. 2017 Jun 6;66:68-73. doi: 10.1016/j.procir.2017.03.220
Schmidt, C. ; Denkena, B. ; Hocke, T. et al. / Influence of AFP process parameters on the temperature distribution used for thermal in-process monitoring. In: Procedia CIRP. 2017 ; Vol. 66. pp. 68-73.
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AU - Denkena, B.

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