Remote laser beam welding significantly outperforms conventional joining techniques in terms of flexibility and productivity. The process benefits in particular from a highly focused laser radiation and thus from a well-defined heat input. The small spot sizes of high brilliance laser beam sources, however, require a highly dynamic and precise positioning of the beam. Also, the laser intensities typically applied in this context result in high process dynamics and in demand for a method to ensure a sufficient weld quality.

A novel sensor concept for remote laser processing based on Optical Coherence Tomography (OCT) was used for both quality assurance and edge tracking. The OCT sensor was integrated into a 3D scanner head equipped with an additional internal scanner to deflect the measuring beam independently of the processing beam. With this system, the surface topography of the process zone as well as the surrounding area can be recorded.

Fundamental investigations on aluminum, copper and galvanized steel were carried out. Initially, the influence of the material, the angle of incidence, the welding position within the scanning field, and the temperature on the OCT measuring signal were evaluated. Based on that, measuring strategies for edge-tracking were developed and validated. It was shown that or-thogonal measuring lines in the advance of the process zone can reliably track the edge of a fillet weld. By recording the topography in the trailing area of the process zone, it was possible to assess the weld seam quality. Comparing the results to microscopic measurements, it was shown that the system is capable of clearly identifying characteristic features of the weld seam. Also, it was possible to observe an influence of the welding process on the surface properties in the heat-affected zone, based on the quality of the measuring signal.

1.
Flournoy
,
P. A.
,
McClure
,
R. W.
,
Wyntjes
,
G.
:
White-light interferometric thickness gauge
.
Applied optics
11
(
1972
)
9
,
1907
1915
.
2.
Huang
,
D.
,
Swanson
,
E.
,
Lin
,
C.
,
Schuman
,
J.
,
Stinson
,
W.
,
Chang
,
W.
,
Hee
,
M.
,
Flotte
,
T.
,
Gregory
,
K.
,
Puliafito
,
C.
,
Fujimoto
,
J. G.
:
Optical coherence tomography
.
Science
254
(
1991
)
5035
,
1178
1181
.
3.
Chinn
,
S. R.
,
Swanson
,
E. A.
,
Fujimoto
,
J. G.
:
Optical coherence tomography using a frequency-tunable optical source
.
Optics Letters
22
(
1997
)
5
,
340
.
4.
Boer
,
J. F. de
;
Cense
,
B.
,
Park
,
B. H.
,
Pierce
,
M. C.
,
Tearney
,
G. J.
,
Bouma
,
Brett
E.
:
Improved signal-to-noise ratio in spectral-domain compared with time-domain optical coherence tomography
.
Optics Letters
28
(
2003
)
21
,
2067
.
5.
Fraser
,
J. M.
: Laser process monitoring and auto-matic control at kHz rates through inline coherent imaging. In:
Phipps
,
C.
(Eds
.):
International Symposium on High Power Laser Ablation: American Institute of Physics
2012
,
492
496
. (
AIP Conference Proceedings
).
6.
Bernardes
,
R.
,
Cunha-Vaz
,
J.
:
Optical coherence tomography. Heidelberg: Springer 2012
. (
Biological and Medical Physics, Biomedical Engineering
).
7.
Donges
,
A.
,
Noll
,
R.
:
Laser Measurement Technology. Heidelberg: Springer 2015
. (
Springer Series in Optical Sciences
188
).
8.
Drexler
,
W.
:
Optical coherence tomography
.
Berlin
:
Springer
2008
. (Biological and Medical Physics, Biomedical Engineering).
9.
Tomlins
,
P. H.
,
Wang
,
R. K.
:
Theory, developments and applications of optical coherence tomography
.
Journal of Physics D: Applied Physics
38
(
2005
)
15
,
2519
2535
.
10.
Purtonen
,
T.
,
Kalliosaari
,
A.
,
Salminen
,
A.
:
Moni-toring and Adaptive Control of Laser Processes
.
Physics Procedia
56
(
2014
),
1218
1231
.
11.
Lee
,
S.K.
,
Na
,
S. J.
:
A study on automatic seam tracking in pulsed laser edge welding by using a vision sensor without an auxiliary light source
.
Journal of Manufacturing Systems
21
(
2002
)
6
,
489
.
12.
Luo
,
Z.
,
Dai
,
J. S.
,
Wang
,
C.
,
Wang
,
F.
,
Tian
,
Y.
,
Zhao
,
M.
:
Predictive seam tracking with iteratively learned feedforward compensation for high-precision robotic laser welding
.
Journal of Manufacturing Systems
31
(
2012
)
1
,
2
7
.
13.
Matsui
,
S.
,
Goktug
,
G.
:
Slit laser sensor guided real-time seam tracking arc welding robot system for non-uniform joint gaps
.
Piscataway NJ
:
IEEE
2002
.
14.
Lee
,
S. K.
,
Chang
,
W. S.
,
Yoo
,
W. S.
,
Na
,
S. J.
:
A study on a vision sensor based laser welding system for bellows
.
Journal of Manufacturing Systems
19
(
2000
)
4
,
249
255
.
15.
Xu
,
Y.
,
Yu
,
H.
,
Zhong
,
J.
,
Lin
,
T.
,
Chen
,
S.
:
Real-time seam tracking control technology during welding robot GTAW process based on passive vision sensor
.
Journal of Materials Processing Technology
212
(
2012
)
8
,
1654
1662
.
16.
Dorsch
,
F.
,
Braun
,
H.
,
Pfitzner
,
D.
:
Seam tracking for fillet welds with scanner optics. In: German Scientific Laser Society (WLT e.V.) (Eds
.):
Proceedings of the Lasers in Manufacturing Conference (LiM
), 22.– 25.06.2015, Munich.
17.
Rodríguez-Gonzálvez
,
P.
,
Rodríguez-Martín
,
M.
,
Ramos
,
L. F.
,
González-Aguilera
,
D.
:
3D reconstruction methods and quality assessment for visual inspection of welds
.
Automation in Construction
79
(
2017
)
49
58
.
18.
Ye
,
G.
,
Guo
,
J.
,
Sun
,
Z.
,
Li
,
C.
,
Zhong
,
S.
:
Weld bead recognition using laser vision with model-based classification
.
Robotics and Computer-Integrated Manufacturing
52
(
2018
),
9
16
.
19.
Kogel-Hollacher
,
M.
,
Schoenleber
,
M.
,
Schulze
,
J.
,
Pichot
,
J. F.
: Inline measurement for quality control from macro to micro laser applications. In: Neuenschwander et al. (Eds.):
Laser Applications in Microelectronic and Optoelectronic Manufacturing (LAMOM) XXII: SPIE 2017
. (
SPIE Proceedings
).
20.
Webster
,
P. J.
,
Wright
,
L. G.
,
Ji
,
Y.
,
Galbraith
,
C. M.
,
Kinross
,
A. W.
,
van Vlack
,
C.
,
Fraser
,
J. M.
:
Automatic laser welding and milling with in situ inline coherent imaging
.
Optics letters
39
(
2014
)
21
,
6217
6220
.
21.
Ji
,
Y.
,
Grindal
,
A. W.
,
Webster
,
P. J.
,
Fraser
,
J. M.
:
Real-time depth monitoring and control of laser machining through scanning beam delivery system
.
Journal of Physics D: Applied Physics
48
(
2015
)
15
,
155301
.
22.
Drexler
,
W.
,
Fujimoto
,
J. G.
:
Optical coherence tomography
. 2. Ed.,
Cham
:
Springer Reference
2015
.
23.
Kraus
,
M.
:
Motion Correction and Signal Enhancement in Optical Coherence Tomography
. Dissertation,
Friedrich-Alexander-Universität Erlangen-Nürnberg
(
2017
).
This content is only available via PDF.
You do not currently have access to this content.