Analysis of the Fiber Laydown Quality in Spunbond Processes with Simulation Experiments Evaluated by Blocked Neural Networks
Joint Authors
Gramsch, Simone
Sarishvili, Alex
Schmeißer, Andre
Source
Advances in Polymer Technology
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gramsch, Simone& Sarishvili, Alex& Schmeißer, Andre. 2020. Analysis of the Fiber Laydown Quality in Spunbond Processes with Simulation Experiments Evaluated by Blocked Neural Networks. Advances in Polymer Technology،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1130376
Modern Language Association (MLA)
Gramsch, Simone…[et al.]. Analysis of the Fiber Laydown Quality in Spunbond Processes with Simulation Experiments Evaluated by Blocked Neural Networks. Advances in Polymer Technology No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1130376
American Medical Association (AMA)
Gramsch, Simone& Sarishvili, Alex& Schmeißer, Andre. Analysis of the Fiber Laydown Quality in Spunbond Processes with Simulation Experiments Evaluated by Blocked Neural Networks. Advances in Polymer Technology. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1130376
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130376