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Proceedings Paper

Laser welding of polymers: phenomenological model for a quick and reliable process quality estimation considering beam shape influences
Author(s): Nathalie F. Timpe; Julia Stuch; Marcus Scholl; Ulrich A. Russek
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Paper Abstract

This contribution presents a phenomenological, analytical model for laser welding of polymers which is suited for a quick process quality estimation for the practitioner. Besides material properties of the polymer and processing parameters like welding pressure, feed rate and laser power the model is based on a simple few parameter description of the size and shape of the laser power density distribution (PDD) in the processing zone. The model allows an estimation of the weld seam tensile strength. It is based on energy balance considerations within a thin sheet with the thickness of the optical penetration depth on the surface of the absorbing welding partner. The joining process itself is modelled by a phenomenological approach. The model reproduces the experimentally known process windows for the main process parameters correctly. Using the parameters describing the shape of the laser PDD the critical dependence of the process windows on the PDD shape will be predicted and compared with experiments. The adaption of the model to other laser manufacturing processes where the PDD influence can be modelled comparably will be discussed.

Paper Details

Date Published: 18 March 2016
PDF: 15 pages
Proc. SPIE 9741, High-Power Laser Materials Processing: Lasers, Beam Delivery, Diagnostics, and Applications V, 97410D (18 March 2016); doi: 10.1117/12.2211683
Show Author Affiliations
Nathalie F. Timpe, Rheinische Fachhochschule Köln (Germany)
Julia Stuch, Rheinische Fachhochschule Köln (Germany)
Marcus Scholl, Rheinische Fachhochschule Köln (Germany)
Ulrich A. Russek, Rheinische Fachhochschule Köln (Germany)

Published in SPIE Proceedings Vol. 9741:
High-Power Laser Materials Processing: Lasers, Beam Delivery, Diagnostics, and Applications V
Friedhelm Dorsch; Stefan Kaierle, Editor(s)

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