In this paper a further characterization of the hyperspectral imaging (HSI) system that we developed is presented. This camera-based system is meant to be used for temperature determination in laser-based material processing. It comprises a high-speed camera and a self-developed HSI-lens system. It offers a time resolution in the µs-range and a spectral resolution of ∼4 nm.

In HSI spatial and spectral information upon the object/process to be investigated can be acquired simultaneously. The spectral information reveals spectral features of the process itself and it is used to derive temperature information. For temperature determination, the process emissions are considered to be black/gray-body radiation.

Based upon very promising initial HSI results, we present and discuss further HSI-derived observations of the laser-beam welding process within this paper. These results include temperature information as well as spectral characteristics. In addition, simultaneous high-speed camera observations were conducted and the results were connected with HSI-derived findings. This way, the influence of vapor on the measurement is evaluated and the HSI-technique is validated to be beneficial in monitoring laser-based material processing.

1.
Lu
,
G.
,
Fei
,
B.
,
2014
.
Medical hyperspectral imaging: A review
.
J. Biomed. Opt
19
(
1
),
10901
.
2.
Lelong
,
C.C.
,
Pinet
,
P.C.
,
Poilvé
,
H.
,
1998
.
Hyperspectral Imaging and Stress Mapping in Agriculture
.
Remote Sensing of Environment
66
(
2
),
179
191
.
3.
Lu
,
R.
,
Chen
,
Y.-R.
,
1999
.
Hyperspectral imaging for safety inspection of food and agricultural products
.
Proc. SPIE
(
3544
),
121
133
.
4.
Gowen
,
A.A.
,
O’Donnell
,
C.P.
,
Cullen
,
P.J.
,
Downey
,
G.
,
Frias
,
J.M.
,
2007
.
Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
.
Trends in Food Science & Technology
18
(
12
),
590
598
.
5.
Gowen
,
A.A.
,
O’Donnell
,
C.P.
,
Taghizadeh
,
M.
,
Cullen
,
P.J.
,
Frias
,
J.M.
,
Downey
,
G.
,
2008
.
Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus
).
J. Chemometrics
22
(
3-4
),
259
267
.
6.
Hege
,
E.K.
,
O’Connell
,
D.
,
Johnson
,
W.
,
Basty
,
S.
,
Dereniak
,
E.L.
,
2004
.
Hyperspectral imaging for astronomy and space surviellance
.
Proc. SPIE
(
5159
),
380
391
.
7.
Goetz
,
A.F.
,
2009
.
Three decades of hyperspectral remote sensing of the Earth: A personal view
.
Remote Sensing of Environment
113
,
S5
S16
.
8.
Kim
,
M.H.
,
Harvey
,
T.A.
,
Kittle
,
D.S.
,
Rushmeier
,
H.
,
Dorsey
,
J.
,
Prum
,
R.O.
,
Brady
,
D.J.
,
2012
.
3D imaging spectroscopy for measuring hyperspectral patterns on solid objects
.
ACM Trans. Graph.
31
(
4
),
1
11
.
9.
Staudt
,
T.
,
Tenner
,
F.
,
Klämpfl
,
F.
,
Schmidt
,
M.
,
2017
.
Development of a hyperspectral imaging technique for monitoring laser-based material processing
.
Journal of Laser Applications
29
(
2
),
22601
.
10.
Heller
,
K.
,
Kessler
,
S.
,
Dorsch
,
F.
,
Berger
,
P.
,
Graf
,
T.
,
2015
.
Robust “false friend” detection via thermographic imaging
.
Proceedings of Lasers in Manufacturing Conference (LIM) 2015
.
11.
Chivel
,
Y.
,
Smurov
,
I.
,
2010
.
On-line temperature monitoring in selective laser sintering/melting
.
Physics Procedia
5
,
515
521
.
12.
Devesse
,
W.
,
de Baere
,
D.
,
Guillaume
,
P.
,
2017
.
High Resolution Temperature Measurement of Liquid Stainless Steel Using Hyperspectral Imaging
.
Sensors
17
(
1
),
91
.
13.
Devesse
,
W.
,
de Baere
,
D.
,
Hinderdael
,
M.
,
Guillaume
,
P.
,
2016
.
Hardware-in-the-loop control of additive manufacturing processes using temperature feedback
.
Journal of Laser Applications
28
(
2
),
22302
.
14.
Onuseit
,
V.
,
Ahmed
,
M.A.
,
Weber
,
R.
,
Graf
,
T.
,
2011
.
Space-resolved Spectrometric Measurements of the Cutting Front
.
Physics Procedia
12
,
584
590
.
This content is only available via PDF.
You do not currently have access to this content.