Details
| Original language | English |
|---|---|
| Article number | 0000301 |
| Journal | Journal of laser applications |
| Volume | 33 |
| Issue number | 1 |
| Early online date | 17 Dec 2020 |
| Publication status | Published - 1 Feb 2021 |
| Externally published | Yes |
| Event | International Congress of Applications of Lasers and Electro-Optics 2020 - Online Duration: 19 Oct 2020 → 22 Oct 2020 Conference number: 39 |
Abstract
This paper describes the research conducted on the automation for a UV laser-based surface pretreatment of fiber-reinforced composites in order to improve adhesive bonding conditions. In a preceding process step, a laser-line-triangulation system gathered inline information on a composite part's surface like topology and location of surface contaminants. These data are the basis for an automation of the laser-based surface treatment [J. Weiland, B. Kunze, H. Dittmar, B. Marx, A. Schiebahn, P. Jaeschke, L. Overmeyer, and U. Reisgen, Proc. Inst. Mech. Eng. Part E: J. Process Mech. Eng. 234, 1-10 (2020)]. The gathered data describe the position of bonding areas and surface contaminants and are converted into relative coordinates of the laser's scanning field. During the following laser process, the bonding area is ablated to improve adhesive bonding conditions. The process is monitored online by a broad bandwidth spectrometer covering the range of λ = 200-1100 nm to detect changes in the surface composition. If the spectrometer detects signals related to specific surface contaminants during the laser process, the position of the contamination is logged. In this case, only the areas that showed traces of surface contaminations are laser treated again until the spectrometer stops detecting the contaminant signature. This work presents results of two series of experiments. During the first series of experiments, the spectrometer monitored a UV laser process on a carbon fiber reinforced epoxy. The laser processing was performed on a clean and contaminated surface. An industry standard release agent contaminated the plastic surface. The spectrometer detected differences between the clean and contaminated surface that will be used for an automatic process control. In a second series of experiments, the authors performed a processing parameter analysis in order to identify a potential process window for laser-based surface pretreatment for glass-fiber reinforced polyamide 6. Contact angle analysis, surface roughness measurements, peel strength, and shear strength tests were performed. The results show that an inline controlled laser process is robustly able to pretreat composite surfaces based on spectrometric measurements.
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Engineering(all)
- Biomedical Engineering
- Physics and Astronomy(all)
- Instrumentation
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In: Journal of laser applications, Vol. 33, No. 1, 0000301, 01.02.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Individualized and controlled laser beam pretreatment process for adhesive bonding of fiber-reinforced plastics. II. Automatic laser process control by spectrometry
AU - Dittmar, Hagen
AU - Weiland, Josef
AU - Wippo, Verena
AU - Schiebahn, Alexander
AU - Jaeschke, Peter
AU - Kaierle, Stefan
AU - Reisgen, Uwe
AU - Overmeyer, Ludger
N1 - Conference code: 39
PY - 2021/2/1
Y1 - 2021/2/1
N2 - This paper describes the research conducted on the automation for a UV laser-based surface pretreatment of fiber-reinforced composites in order to improve adhesive bonding conditions. In a preceding process step, a laser-line-triangulation system gathered inline information on a composite part's surface like topology and location of surface contaminants. These data are the basis for an automation of the laser-based surface treatment [J. Weiland, B. Kunze, H. Dittmar, B. Marx, A. Schiebahn, P. Jaeschke, L. Overmeyer, and U. Reisgen, Proc. Inst. Mech. Eng. Part E: J. Process Mech. Eng. 234, 1-10 (2020)]. The gathered data describe the position of bonding areas and surface contaminants and are converted into relative coordinates of the laser's scanning field. During the following laser process, the bonding area is ablated to improve adhesive bonding conditions. The process is monitored online by a broad bandwidth spectrometer covering the range of λ = 200-1100 nm to detect changes in the surface composition. If the spectrometer detects signals related to specific surface contaminants during the laser process, the position of the contamination is logged. In this case, only the areas that showed traces of surface contaminations are laser treated again until the spectrometer stops detecting the contaminant signature. This work presents results of two series of experiments. During the first series of experiments, the spectrometer monitored a UV laser process on a carbon fiber reinforced epoxy. The laser processing was performed on a clean and contaminated surface. An industry standard release agent contaminated the plastic surface. The spectrometer detected differences between the clean and contaminated surface that will be used for an automatic process control. In a second series of experiments, the authors performed a processing parameter analysis in order to identify a potential process window for laser-based surface pretreatment for glass-fiber reinforced polyamide 6. Contact angle analysis, surface roughness measurements, peel strength, and shear strength tests were performed. The results show that an inline controlled laser process is robustly able to pretreat composite surfaces based on spectrometric measurements.
AB - This paper describes the research conducted on the automation for a UV laser-based surface pretreatment of fiber-reinforced composites in order to improve adhesive bonding conditions. In a preceding process step, a laser-line-triangulation system gathered inline information on a composite part's surface like topology and location of surface contaminants. These data are the basis for an automation of the laser-based surface treatment [J. Weiland, B. Kunze, H. Dittmar, B. Marx, A. Schiebahn, P. Jaeschke, L. Overmeyer, and U. Reisgen, Proc. Inst. Mech. Eng. Part E: J. Process Mech. Eng. 234, 1-10 (2020)]. The gathered data describe the position of bonding areas and surface contaminants and are converted into relative coordinates of the laser's scanning field. During the following laser process, the bonding area is ablated to improve adhesive bonding conditions. The process is monitored online by a broad bandwidth spectrometer covering the range of λ = 200-1100 nm to detect changes in the surface composition. If the spectrometer detects signals related to specific surface contaminants during the laser process, the position of the contamination is logged. In this case, only the areas that showed traces of surface contaminations are laser treated again until the spectrometer stops detecting the contaminant signature. This work presents results of two series of experiments. During the first series of experiments, the spectrometer monitored a UV laser process on a carbon fiber reinforced epoxy. The laser processing was performed on a clean and contaminated surface. An industry standard release agent contaminated the plastic surface. The spectrometer detected differences between the clean and contaminated surface that will be used for an automatic process control. In a second series of experiments, the authors performed a processing parameter analysis in order to identify a potential process window for laser-based surface pretreatment for glass-fiber reinforced polyamide 6. Contact angle analysis, surface roughness measurements, peel strength, and shear strength tests were performed. The results show that an inline controlled laser process is robustly able to pretreat composite surfaces based on spectrometric measurements.
UR - http://www.scopus.com/inward/record.url?scp=85101742710&partnerID=8YFLogxK
U2 - 10.2351/7.0000301
DO - 10.2351/7.0000301
M3 - Article
AN - SCOPUS:85101742710
VL - 33
JO - Journal of laser applications
JF - Journal of laser applications
SN - 1042-346X
IS - 1
M1 - 0000301
T2 - International Congress of Applications of Lasers and Electro-Optics 2020
Y2 - 19 October 2020 through 22 October 2020
ER -