Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation

arXiv:2404.09604v1 Announce Type: new
Abstract: In the last ten years, the average annual growth rate of nonwoven production was 4%. In 2020 and 2021, nonwoven production has increased even further due to the huge demand for nonwoven products needed for protective clothing such as FFP2 masks to combat the COVID19 pandemic. Optimizing the production process is still a challenge due to its high nonlinearity. In this paper, we present a machine learning-based optimization workflow aimed at improving the homogeneity of …

abstract arxiv clothing cs.lg demand growth human machine machine learning masks optimization production products rate type validation workflow