| Issue |
MATEC Web Conf.
Volume 226, 2018
XIV International Scientific-Technical Conference “Dynamic of Technical Systems” (DTS-2018)
|
|
|---|---|---|
| Article Number | 04039 | |
| Number of page(s) | 6 | |
| Section | 4 Fundamental methods of system analysis, modeling and optimization of dynamic systems | |
| DOI | https://doi.org/10.1051/matecconf/201822604039 | |
| Published online | 07 November 2018 | |
Modeling of capillary-sorption process steam condensation in the system of microcapillaries of grain shells
Don State Technical University, 344002 Gagarin Square, 1, Rostov-on-Don, Russian Federation
* Corresponding author: 2ruslyakof@yandex.ru
The aim of this study is to simulate the capillary-sorption process of steam condensation in the system of microcapillaries of grain shells [1]. Modeling of the processes of intensive moisture transfer during drying of a number of materials was considered in [2,3]. In order to significantly reduce the time of moistening, moisture transfer by effusion is considered in the form of steam produced at low pressure (vacuum) with its further guaranteed condensation in micro-cavities (microcapillaries) of a porous shell of grain [4]. Study of intensity of moisture transport in accordance with the changes in concentrations of vapour along the length of the capillary in a vacuum proved the possibility of intensifying the process of moistening the grain before grinding. The obtained mathematical model will allow to calculate the values of the theoretical weight gain of moisture in microcapillaries depending on the parameters and the time of vacuum-sorption moisture.
© The Authors, published by EDP Sciences, 2018
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.