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

Autor:	Gramsch, Simone, Sarishvili, Alex, Schmeißer, Andre
Rok vydání:	2019
Předmět:	Statistics - Machine Learning Computer Science - Machine Learning 62P30 62J02
Druh dokumentu:	Working Paper
Popis:	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 onto the fiber laydown on a conveyor belt. The virtual experiments 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. Comment: 12 pages, 23 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1911.06213 Zobrazit plný text záznamu View this record from Arxiv