Laser welding of polymers: phenomenological model for a quick and reliable process quality estimation considering beam shape influences

Nathalie F. Timpe; Julia Stuch; Marcus Scholl; Ulrich A. Russek

doi:10.1117/12.2211683

18 March 2016 Laser welding of polymers: phenomenological model for a quick and reliable process quality estimation considering beam shape influences

Nathalie F. Timpe, Julia Stuch, Marcus Scholl, Ulrich A. Russek

Author Affiliations +

Proceedings Volume 9741, High-Power Laser Materials Processing: Lasers, Beam Delivery, Diagnostics, and Applications V; 97410D (2016) https://doi.org/10.1117/12.2211683
Event: SPIE LASE, 2016, San Francisco, California, United States

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.

Citation Download Citation

Nathalie F. Timpe, Julia Stuch, Marcus Scholl, and Ulrich A. Russek "Laser welding of polymers: phenomenological model for a quick and reliable process quality estimation considering beam shape influences", Proc. SPIE 9741, High-Power Laser Materials Processing: Lasers, Beam Delivery, Diagnostics, and Applications V, 97410D (18 March 2016); https://doi.org/10.1117/12.2211683

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KEYWORDS

Polymers

Laser welding

Laser processing

Neodymium

Semiconductor lasers

Temperature metrology

Process modeling

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