Focal spot positioning and robot path control require online measurement of the distance between a welding head and the workpiece to be processed. For autonomously working applications, such as cognitive focal shift control, distance measurements can be used to teach coaxial video images at different distances. This paper compares optical sensors based on laser triangulation with those based on optical coherence tomography, which can be embedded in either pre or post-process monitoring systems, thus allowing for accurate distance measurements. Because optical coherence tomography sensors are mainly used for medical purposes, their applicability in laser material processing was examined and verified. Using three workpieces with known geometrical properties, the lateral and depth resolution, and detectable angle dependency could be obtained. The advantages and limitations of the examined sensors are discussed here.

1.
Shao
,
J.
and
Yan
,
Y.
(
2005
)
Review of techniques for On-line Monitoring and Inspection of Laser Welding
,
Journal of Physics: Conference Series
, Volume
15
, Issue
1
,
101
107
2.
Regaard
,
B.
,
Kaierle
,
S.
, and
Poprawe
,
R.
(
2009
)
Seam-tracking for high precision laser welding applications - Methods, restrictions and enhanced concepts
,
Journal of Laser Applications
, Vol.
21
, No.
4
,
183
195
3.
Mi
,
B.
and
Ume
,
C.
(
2004
)
Three-dimensional ray tracing of laser ultrasound for weld penetration sensing
,
Acoustical Society of America
, Volume
115
, Issue
4
, pp.
1565
1571
4.
Lankalapalli
,
K.N.
,
Tu
,
J.F.
, and
Gartner
,
M.
(
1996
),
A model for estimating penetration depth of laser welding processes
,
Journal Physics D: Applied Physics
,
29
,
1831
1841
5.
Bautze
,
T.
,
Diepold
,
K.
, and
Kaiser
,
T.
(
2009
)
A cognitive approach to monitor and control focal shifts in laser beam welding applications
,
IEEE International Conference on Intelligent Computing and Intelligent Systems
,
2009
, Volume
2
,
895
899
6.
Stork genannt Wersborg
,
I.
,
Borgwardt
,
F.
, and
Diepold
,
K.
(
2009
)
Real-time cognitive technical systems, a learning material processing system, social and future aspects
,
IEEE, Advanced Robotics and its Social Impacts (ARSO)
7.
de Graaf
,
M.
, et al (
2010
)
Real-time seam tracking for robotic laser welding using trajectory-based control
,
Control Engineering Practice
8.
Bannat
,
A.
,
Bautze
,
T.
,
Beetz
,
M.
,
Blume
,
J.
,
Diepold
,
K.
,
Ertelt
,
C.
,
Geiger
,
F.
,
Gmeiner
,
T.
,
Gyger
,
T.
,
Knoll
,
A.
,
Lau
,
C.
,
Lenz
,
C.
,
Ostgathe
,
M.
,
Reinhart
,
G.
,
Roesel
,
W.
,
Ruehr
,
T.
,
Schuboe
,
A.
,
Shea
,
K.
,
Stork genannt
Wersborg
, I.,
Stork
,
S.
,
Tekouo
,
W.
,
Wallhoff
,
F.
,
Wiesbeck
,
M.
, and
Zaeh
,
M. F.
(
2010
)
Artificial Cognition in Production Systems
,
IEEE Transactions on Automation Science and Engineering
9.
Auger
,
M.
(
2001
) Detection of laser-welding defects using neural networks, Master Thesis,
Queen’s University
,
Kingston, Ontario, Canada
10.
O’Connor
,
S.
,
Clapham
,
J.
, and
Wild
,
P.
(
2001
)
Magnetic flux leakage inspection of tailor-welded blanks, Institute of Physics Publishing
,
Measurement Science and Technology
,
13
,
157
162
11.
Fercher
,
A.F.
,
Drexler
W.
,
Hitzenberger
C.K.
, and
Lasser
,
T.
(
2003
)
Optical coherence tomography - principles and applications
,
Reports on Progress in Physics
,
66
,
239
303
12.
Wiesner
,
M.
,
Ihlemann
,
J.
,
Müller
,
H.H.
,
Lankenau
,
E.
, and
Hüttmann
,
G.
(
2010
)
Optical coherence tomography for process control of laser micromachining
,
Review of Scientific Instruments
, Vol.
81
,
033705
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