Today merely a few monitoring systems for in-process detection of laser welding defects are commercially available. Despite a trend towards cameras, industrially more robust is still a photodiode, measuring in an optically filtered spectral window either the thermal emissions from the melt and vapour or the laser beam reflections. The monitoring rule for each application is identified empirically through correlations between the signal dynamics and welding defects, as the linking mechanism is non-trivial and therefore hardly understood. Thus the method does not provide a systematic guideline to detect a certain welding defect.

The here presented approach studies the context between the photodiode signal, the welding defects and the vapour, melt pool, keyhole and temperature dynamics. Simultaneous laser-illuminated high speed imaging is compared to photodiode monitoring at three spectral windows in order to identify through simultaneous timing any linking dynamics in a qualitative manner. Supportive methods are emission modelling and thermal imaging. Several cases of joints, materials and defects were studied to develop an illustrated theoretical description of the defect-signal correlations.

1.
Lampa
,
C.
,
Kaplan
,
A.F.H.
,
Powell
,
J.
,
Magnusson
,
C.
, (
1997
),
An analytical thermodynamic model of laser welding
,
J. Phys. D: Appl. Phys.
30
, pp.
1293
1299
2.
Al-Kazzaza
,
H.
,
Medraja
,
M.
,
Caob
X.
,
Jahazib
M.
, (
2008
),
Nd:YAG laser welding of aerospace grade ZE41A magnesium alloy: Modelling and experimental investigations
,
Materials Chemistry and Physics
109
, pp.
61
76
.
3.
Rosenthal
,
D.
, (
1946
),
The theory of moving sources of heat and its application to metal treatments
,
Trans. ASME
,
48
, pp.
848
866
.
4.
Otto
,
A.
,
M.
Geiger
, (
2007
),
From basic research to industrial applications – new developments for laser welding
,
Proc. LIM
4
, June 2007, Munich (D), WLT,
p 5
11
.
5.
Katayama
,
S.
,
Matsunawa
,
A.
, (
2001
),
Microfocused X-ray transmission real-time observation of laser welding phenomena
,
Yosetsu Gakkai Shi/Journal of the Japan Welding Society
, v
70
,
6
, September, 2001, pp.
17
22
6.
Norman
,
P.
,
Engström
,
H.
,
Kaplan
,
A.F.H.
, (
2007
),
State-of-the-art of Montoring and Imaging of Laser Welding
Defects. Proc. 11th Nordic Laser Material Processing Conference, NOLAMP 11
,
Aug
.
20
22
,
Lappeenranta Univ. of Technology
;
Lappeenranta
.
7.
J.
Shao
,
Y.
Yan
, (
2005
),
Review of techniques for on-line monitoring and inspection of laser welding
,
Journal of Physics: Conference Series
, v
15
,
1
, p
101
7
.
8.
Norman
,
P.
,
H.
Engström
,
A. F. H.
Kaplan
, (
2007
), Modelling of the impact of melt surface dynamics on a photodiode monitoring signal in laser welding,
Proc. ICALEO
, Oct 29-Nov 2,
Orlando (FL)
,
Laser Institute of America
.
9.
Resch
,
M.
,
Kaplan
,
A.F.H.
, (
1998
),
Heat conduction modelling of laser welding
,
Lasers in Engineering
, Vol
7
, pp.
229
240
10.
Del Campo
,
L.
,
Pérez-Sáez
,
R. B.
,
Esquisabel
,
X.
,
Fernández
,
I.
,
Tello
,
M. J.
, (
2006
),
New experimental device for infrared spectral directional emissivity measurements in a controlled environment
,
Review of Scientific Instruments
,
Volume 77
,
Issue 11
, pp.
113111
113111
-8.
11.
Kaplan
,
A. F. H.
,
Norman
,
P.
,
Gren
,
P.
and
Powell
,
J.
, (
2008
),
The role of uncertainty in the theoretical description of laser welding
, submitted.
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