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

arXiv: https://arxiv.org/abs/1911.06213 · HTML: https://mlsanity.com/paper/1911.06213/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Nov 2019.

## Built on by (most cited first, 1 of 1)

- [Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation](https://mlsanity.com/paper/2404.09604/) (2024)

## Abstract (arXiv)

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.