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Analysis of the interaction between the temperature field and the weld seam morphology in laser transmission welding by using two different discrete laser wavelengths

  • Laser transmission welding is a non-contact and efficient process technology for joining thermoplastic polymers. In the conventional process, laser sources in the wavelength range of 1 μm are usually used. Therefore, most of the laser radiation is transmitted through the upper joining partner and absorbed only in the lower joining partner. As a result, the possibilities to influence the temperature field especially in the upper joining partner are limited. To overcome these limitations, an additional thulium fiber-laser with a wavelength of 1.94 μm is used in this study and coaxially aligned with a diode laser. The use of an additional thulium fiber-laser leads to a significant absorption in the upper joining partner. Through this approach, it is shown that the temperature field and the weld seam geometry can be influenced by using these two different discrete laser wavelengths. Depending on the intensity distribution of both lasers, an increase of the size of the heat affected zone in the upper joining partner can be observed. In order to develop a better process understanding, a thermal finite element model is built up and verified by comparing the calculated size of the heat affected zone for different process parameters with the experimental data. The model is able to represent the influence of both laser sources on the temperature field and is used to calculate characteristics of the temperature field, such as maximum temperatures or cooling rates. The characteristics are then used to explain the weld seam morphology, such as occurrence and size of spherulitic structures in the weld seam.

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Metadaten
Author:Bastian Geißler, Tobias LaumerORCiDGND, Andrea Wübbeke, Patrick Lakemeyer, Thomas Frick, Volker Schöppner, Michael Schmidt
DOI:https://doi.org/10.2351/1.5040617
ISSN:1938-1387
Parent Title (English):Journal of Laser Applications
Publisher:AIP Publishing
Document Type:Article
Language:English
Year of first Publication:2018
Release Date:2022/06/07
Volume:30
Issue:3
Article Number:032408
Institutes:Fakultät Maschinenbau
Technologie-Campus Parsberg-Lupburg
Fakultät Maschinenbau / Labor Additive and Intelligent Manufacturing for Sustainability (AIMS)
Begutachtungsstatus:peer-reviewed
Publication:Externe Publikationen
research focus:Produktion und Systeme
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG