Issue |
E3S Web Conf.
Volume 128, 2019
XII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2019)
|
|
---|---|---|
Article Number | 09010 | |
Number of page(s) | 6 | |
Section | Advanced Numerical Methods | |
DOI | https://doi.org/10.1051/e3sconf/201912809010 | |
Published online | 08 November 2019 |
Modelling and simulation of wool steaming for the efficient management of decatizing processes
1
Department of Information Engineering, University of Padova,
Via Gradenigo 6/B,
35131,
Padova,
Italy
2
Santex Rimar Group,
Località Colombara, 50,
36070,
Trissino (VI),
Italy
* Corresponding author: fabianafederica.ferro@phd.unipd.it
Finishing is one of the fundamental steps of textile production and still, nowadays it largely depends on empirical knowledge. Aim of finishing processes is to impart the required functional properties to the fabric and, in particular, decatizing is the process that lends the fabrics dimensional stability, enhances the luster and improves the so-called ‘fabric hand’, corresponding to the sense of touching a textile. In this paper, we consider wool fabrics and, by exploiting the available process physical knowledge, we derive a model that can predict certain fabric characteristics, such as its temperature and moisture content, correlated with the fabric dimensional stability. We also design a simulation environment according to the model and we use it to easily generate synthetic data, obtaining information about the steaming process under different conditions. By analyzing the data, we can obtain knowledge about how to maximize the fabric decatizing process efficiency.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.