Process monitoring in the laser-based tape-laying process ... · components based on a laser-based...
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82 Annual Report 2018 Subject to alterations in specifications and other technical information. 06/2019. Fraunhofer Institute for Laser Technology ILT, www.ilt.fraunhofer.de DQS certified by DIN EN ISO 9001, Reg.-No.: DE-69572-01 1 1 IR photograph of a FRP tape with imprinting applied. 2 Laser welding process for tape laying of FRP tapes with thermographic camera, source: Fraunhofer IPT. Task Automation, flexibility and resource efficiency all play a key role in the production of fiber-reinforced plastic (FRP) components based on a laser-based tape-laying process. In the system development, this project is focusing on the process-controlled laser-beam welding of fiber composite tapes in order to detect inline defects in the component reliably and safely. Method The process control is implemented using imaging thermo- graphy and machine learning. For the control to detect insuf- ficient lamination during the tape laying process, the institute has introduced artificial micro-embossments in FRP tapes in advance. Thanks to »live« thermography images from the joining process, the system can recognize and then evaluate the embossments with regard to the remaining geometry after welding. This is then used to derive the welding quality. The process control algorithm is based on machine learning: In the first step, the embossments on the tape are recognized and in the second step, the quality assessment is carried out. The process monitoring learning required in this process was performed using reference lamination of known quality. After the learning phase, process monitoring is able to evaluate new unknown laminations. Results The developed process monitoring is capable of working in real-time and easy to integrate due to the existing interfaces. The system was evaluated with 150 available datasets. To train the model, 75 percent of the data was used and 25 percent as test records. As a result, 98 percent of the existing em- bossments on the FRP tape were recognized and the quality of the lamination was correctly evaluated for all recognized embossments. Applications The »ambliFibre« monitoring system is suitable for all appli- cations whose goal is to detect structures on surfaces with different temperature controlled areas. The method can be easily adapted and flexibly expanded by machine learning. The secure object recognition not only recognizes known imperfections, but also new ones created in the process. The work has been carried out as part of the EU project »ambliFibre« under grant number 678875. Contact Andrea Lanfermann M.Sc. Telephone +49 241 8906-366 [email protected] Dipl.-Ing. Peter Abels Telephone +49 241 8906-428 [email protected] PROCESS MONITORING IN THE LASER-BASED TAPE-LAYING PROCESS FOR FRP COMPONENTS 2
Transcript of Process monitoring in the laser-based tape-laying process ... · components based on a laser-based...
82 Annual Report 2018 Annual Report 2018 83
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ject
to
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ecifi
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tec
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Fraunhofer Institute for Laser Technology ILT, www.ilt.fraunhofer.de
DQS certified by DIN EN ISO 9001, Reg.-No.: DE-69572-01
Fraunhofer Institute for Laser Technology ILT, www.ilt.fraunhofer.de
DQS certified by DIN EN ISO 9001, Reg.-No.: DE-69572-01
Sub
ject
to
alt
erat
ion
s in
sp
ecifi
cati
on
s an
d o
ther
tec
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2019
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1IRphotographofaFRPtapewithimprintingapplied.
2LaserweldingprocessfortapelayingofFRPtapes
withthermographiccamera,source:FraunhoferIPT.
Task
Automation, flexibility and resource efficiency all play a
key role in the production of fiber-reinforced plastic (FRP)
components based on a laser-based tape-laying process.
In the system development, this project is focusing on the
process-controlled laser-beam welding of fiber composite
tapes in order to detect inline defects in the component
reliably and safely.
Method
The process control is implemented using imaging thermo-
graphy and machine learning. For the control to detect insuf-
ficient lamination during the tape laying process, the institute
has introduced artificial micro-embossments in FRP tapes in
advance. Thanks to »live« thermography images from the
joining process, the system can recognize and then evaluate
the embossments with regard to the remaining geometry
after welding. This is then used to derive the welding quality.
The process control algorithm is based on machine learning:
In the first step, the embossments on the tape are recognized
and in the second step, the quality assessment is carried out.
The process monitoring learning required in this process was
performed using reference lamination of known quality. After
the learning phase, process monitoring is able to evaluate new
unknown laminations.
Results
The developed process monitoring is capable of working in
real-time and easy to integrate due to the existing interfaces.
The system was evaluated with 150 available datasets. To train
the model, 75 percent of the data was used and 25 percent
as test records. As a result, 98 percent of the existing em-
bossments on the FRP tape were recognized and the quality
of the lamination was correctly evaluated for all recognized
embossments.
Applications
The »ambliFibre« monitoring system is suitable for all appli-
cations whose goal is to detect structures on surfaces with
different temperature controlled areas. The method can be
easily adapted and flexibly expanded by machine learning.
The secure object recognition not only recognizes known
imperfections, but also new ones created in the process.
The work has been carried out as part of the EU project
»ambliFibre« under grant number 678875.
Contact
Andrea Lanfermann M.Sc.
Telephone +49 241 8906-366
Dipl.-Ing. Peter Abels
Telephone +49 241 8906-428
PROCESS MONITORING IN THE LASER-BASED TAPE-LAYING PROCESS FOR FRP COMPONENTS
2
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