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@PHDTHESIS{Barthels:1020821,
author = {Barthels, Thilo},
othercontributors = {Häfner, Constantin Leon and Bergs, Thomas},
title = {{P}rozessführung bei stark parallelisierten
{UKP}-{B}earbeitungsprozessen für {M}etallfolien},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-09257},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2026; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2025},
abstract = {The subject of this dissertation is the scaling of
productivity through a multi-beam pro-cessing approach using
ultrashort pulsed (USP) laser radiation. For this purpose, a
modeling system for the determination of system and process
parameters for multi-beam processing is derived. Input
variables such as the number of structures, the structure
size, the ablation depth and the ablation volume, as well as
the material and the maximum pulse energy of the laser are
taken into account. With the aim of in-creasing productivity
in the parallel micro structuring of thin metal foils, the
number of realizable partial beams, the range of repetition
rate, partial beam fluence to be used, as well as the track
and pulse overlap for a qualitative processing result are
derived as output variables of the modeling system. The
approach chosen to achieve the goal of qualitative
productivity scaling is divided into three subsections:
single-beam processing, a data-based computational
productivity model based on more than 3,000 single-beam
experiments and the determination of qualitative limits to
the scalability of multi-beam processing. The first
limitations of the productivity increase are worked out
using single-beam processing. It is modeled that
productivity is primarily maximized with a reduced partial
beam fluence and an increasing number of partial beams. As a
secondary condition, the number of structures to be produced
is important in order to reduce the number of multi-beam
processing passes to a minimum. The evaluation of the
quality limits of multi-beam processing shows that, in
addition to the investigated process parameters of partial
beam fluence, repetition rate, track and pulse overlap, the
framework conditions not defined by the laser, such as
sample holder, process gas or extraction, have greatest
influence on quality. Two variables, the available thermal
mass for heat absorption and dissipation and keeping the
processing field clean by efficiently removing
process-related ablation products, are essential here.
Convection cooling using process gas and diffusion cooling
using a sample holder with full-surface contact to the metal
foil is important, as this increases the heat dissipation
for the available thermal mass. Ex-traction of the removal
products only has an effect on cleanliness. If the thermal
mass is not sufficient or a critical removal volume flow
occurs, this leads to negative thermal effects. Primarily
due to an excessively high repetition rate, foil bulge under
increased thermal load or recondensed ablation products form
an irreversible bond on already structured surfaces. A
process map for the design of productive and qualitative
system and process parameters for parallelized ultrashort
pulse laser machining processes has emerged from the model
and experiments, which are based on the ablation efficiency
curve of metals known in the single beam approach according
to NEUENSCHWANDER and RACIUKAITIS. Under the constraints of
the laser beam source and the optical system to be used, a
design and process control recommendation for USP multi-beam
processes is made possible. A maximization of the number of
partial beams at a partial beam fluence of 2 to 4 times the
most efficient single beam fluence and repetition rates of
≤ 50 to 100 kHz are recommended for scaling through
multi-beam processing.},
cin = {418710},
ddc = {620},
cid = {$I:(DE-82)418710_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-09257},
url = {https://publications.rwth-aachen.de/record/1020821},
}