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Efficient air flow control for remote laser beam welding

: Mahrle, Achim; Borkmann, Madlen; Beyer, Eckhard; Leyens, Christoph; Hustedt, Michael; Hennigs, Christian; Brodeßer, Alexander; Walter, Jürgen; Kaierle, Stefan

Fulltext urn:nbn:de:0011-n-4733474 (771 KByte PDF)
MD5 Fingerprint: 5bd86df851a71e871098cdd5bea9e622
Created on: 09.11.2018

Laser Institute of America -LIA-:
ICALEO 2017, 36th International Congress on Applications of Lasers & Electro-Optics. Online resource : October 22-26, 2017
Orlando, Fla.: LIA, 2017
ISBN: 978-1-940168-14-2
9 pp.
International Congress on Applications of Lasers & Electro-Optics (ICALEO) <36, 2017, Atlanta/Ga.>
Bundesministerium für Wirtschaft und Technologie BMWi
IGF; 18149 BG; RemoStAad
Conference Paper, Electronic Publication
Fraunhofer IWS ()
remote laser beam welding; air flow control; Simulation

Efficient air flow control plays a crucial role for the reliability of remote laser beam welding applications. Local air flows are helpful to suppress unfavorable interactions between laser radiation and welding fumes as a result of absorption and/or scattering effects. On the other hand, local and additional global flows have to be applied for emission control to protect optical components and workpieces from contamination and to avoid harmful air pollution of the atmosphere. However, the appropriate design of complex air flow systems under the additional condition of preferably low overall gas consumption is still a challenging task because a high number of decisive factors and a multitude of possible interactions complicate the pure empirical selection and positioning of suitable flow components and the adjustment of the numerous control parameters. This paper presents the results of a combined and complementary approach of experimental and theoretical investigations to meet these challenges. The experimental work was focused on the aspects of interaction mechanisms between the laser beam and the welding fume. Besides the characterization of process emissions some of the requirements of stable remote processing with maximum penetration depth are revealed. In contrast, the theoretical work describes a general methodology on how to support the optimization of the cabin air flow by means of Computational Fluid Dynamics (CFD) models in combination with Design-of-Experiments (DoE) approaches.