Instrumentation of a Roving Inspection Test Rig with Surface Geometry Measurement of Fiber Bundles
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Standard
I2MTC 2021 - IEEE International Instrumentation and Measurement Technology Conference, Proceedings. IEEE Xplore (online): Institute of Electrical and Electronics Engineers, 2021. 9459889 (Conference Record - IEEE Instrumentation and Measurement Technology Conference; Vol. 2021-May).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Instrumentation of a Roving Inspection Test Rig with Surface Geometry Measurement of Fiber Bundles
AU - Lehner, Sophia
AU - Neunkirchen, Stefan
AU - Fauster, Ewald
AU - O'Leary, Paul
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021/5/17
Y1 - 2021/5/17
N2 - The major advantage of products made from composite materials, such as carbon fiber reinforced polymers (CFRP), is given by their superior weight-specific, mechanical properties such as strength and stiffness. These properties can be weakened by defects induced in the manufacturing process. In dry fiber filament winding, online detection and analysis of the processed fiber bundle geometry is a key factor for the quality assurance of the final part. In this work, the instrumentation and data evaluation for determining the surface geometry of fiber bundles by means of a light sectioning sensor was examined. Profiles of glass fibers were measured continuously in a specifically developed inspection test rig. By application of an interactive polynomial fitting algorithm, data segmentation of object and base line was robustly achieved on varying background conditions. In addition, unwanted defects as well as lateral movement of the fiber bundles were reliably detected. The information revealed by the proposed algorithm provides the basis for robust online monitoring of fiber bundle geometry in highly automated composite manufacturing processes.
AB - The major advantage of products made from composite materials, such as carbon fiber reinforced polymers (CFRP), is given by their superior weight-specific, mechanical properties such as strength and stiffness. These properties can be weakened by defects induced in the manufacturing process. In dry fiber filament winding, online detection and analysis of the processed fiber bundle geometry is a key factor for the quality assurance of the final part. In this work, the instrumentation and data evaluation for determining the surface geometry of fiber bundles by means of a light sectioning sensor was examined. Profiles of glass fibers were measured continuously in a specifically developed inspection test rig. By application of an interactive polynomial fitting algorithm, data segmentation of object and base line was robustly achieved on varying background conditions. In addition, unwanted defects as well as lateral movement of the fiber bundles were reliably detected. The information revealed by the proposed algorithm provides the basis for robust online monitoring of fiber bundle geometry in highly automated composite manufacturing processes.
UR - http://www.scopus.com/inward/record.url?scp=85113710138&partnerID=8YFLogxK
U2 - 10.1109/I2MTC50364.2021.9459889
DO - 10.1109/I2MTC50364.2021.9459889
M3 - Conference contribution
AN - SCOPUS:85113710138
T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference
BT - I2MTC 2021 - IEEE International Instrumentation and Measurement Technology Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers
CY - IEEE Xplore (online)
T2 - 2021 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021
Y2 - 17 May 2021 through 20 May 2021
ER -
