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Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks

 
: Gramsch, Simone; Sarishvili, Alex; Schmeißer, Andre

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Fulltext ()

Advances in Polymer Technology (2020), Art. 7648232, 11 pp.
ISSN: 0730-6679
ISSN: 1098-2329
English
Journal Article, Electronic Publication
Fraunhofer ITWM ()

Abstract
We present a simulation framework for spunbond processes and use a design of experiments to investigate the cause-and-effect relations of process and material parameters on the fiber laydown on a conveyor belt. The analyzed parameters encompass the inlet air speed and suction pressure, as well as the E modulus, density, and line density (titer) of the filaments. The fiber laydown produced by the virtual experiments is statistically quantified, and the results are analyzed by a blocked neural network. This forms the basis for the prediction of the fiber laydown characteristics and enables a quick ranking of the significance of the influencing effects. We conclude our research by an analysis of the nonlinear cause-and-effect relations. Compared to the material parameters, suction pressure and inlet air speed have a negligible effect on the fiber mass distribution in (cross)machine direction. Changes in the line density of the filament have a 10 times stronger effect than changes in E modulus or density. The effect of E modulus on the throwing range in machine direction is of particular note, as it reverses from increasing to decreasing in the examined parameter regime.

: http://publica.fraunhofer.de/documents/N-593463.html