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@ARTICLE{Spurk:622957,
author = {Spurk, Christoph and Dietrich, Frederik and
Brüggenjürgen, Jan and Hummel, Marc and Häusler, André
and Olowinsky, Alexander and Gillner, Arnold and Beckmann,
Felix and Moosmann, Julian},
title = {{A}nalysis of laser beam welding with superimposed 445 and
1070 nm wavelength lasers on copper by in situ synchrotron
diagnostics},
journal = {Journal of laser applications},
volume = {36},
number = {4},
issn = {1042-346X},
address = {Orlando, Fla.},
publisher = {Laser Inst. of America},
reportid = {PUBDB-2025-00593},
pages = {042002},
year = {2024},
abstract = {In laser welding, precision and reproducibility are
fundamentally dependent on temporal and spatial processes of
energy input. Induced by the dynamics of the melt pool,
pressure equilibria in the vapor capillary, and
solidification behavior, different weld seam qualities are
achieved. To obtain the lowest possible defect frequency,
new tailored joining strategies need to be investigated
using multibeam and multiwavelength approaches. To improve
the quality by influencing the process dynamics, a dual-beam
approach is investigated that superimposes a stationary
laser beam with a wavelength of 445 nm with a spatially
modulated laser beam with a wavelength of 1070 nm. The aim
is to utilize ∼10 times higher absorption of a 445 nm
diode laser on copper with the high focusability of a
1070 nm fiber laser. In this context, the influence of the
relative positions of the two beams to each other on the
weld seam quality is investigated, while one of the beams
moves either in front, behind, or coaxial to the other beam
following the path of a line weld. The main objective is to
observe how the laser beams influence each other and how the
capillary depth and porosity vary for different parameters.
To visualize the process dynamics, the welding experiments
on copper are performed at the Deutsches
Elektronen-Synchrotron DESY by means of in situ phase
contrast videography. Quality-determining weld properties
like the distribution of pores or process fluctuations are
then extracted automatically from the image sequences by
means of a trained neuronal network.},
cin = {DOOR ; HAS-User / Hereon},
ddc = {530},
cid = {I:(DE-H253)HAS-User-20120731 / I:(DE-H253)Hereon-20210428},
pnm = {6G3 - PETRA III (DESY) (POF4-6G3) / DFG project
G:(GEPRIS)236616214 - SFB 1120: Bauteilpräzision durch
Beherrschung von Schmelze und Erstarrung in
Produktionsprozessen (236616214) / FS-Proposal: BAG-20211050
(BAG-20211050)},
pid = {G:(DE-HGF)POF4-6G3 / G:(GEPRIS)236616214 /
G:(DE-H253)BAG-20211050},
experiment = {EXP:(DE-H253)P-P07-20150101},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001304251500001},
doi = {10.2351/7.0001598},
url = {https://bib-pubdb1.desy.de/record/622957},
}