Issue |
E3S Web of Conf.
Volume 443, 2023
II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023)
|
|
---|---|---|
Article Number | 04011 | |
Number of page(s) | 8 | |
Section | Innovative Technologies of Agriculture, Civil Engineering and Environmental Research | |
DOI | https://doi.org/10.1051/e3sconf/202344304011 | |
Published online | 09 November 2023 |
Modeling the contact interaction of leather with squeezing rollers
1 Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Tashkent, Uzbekistan
2 Tashkent University of Architecture and Civil Engineering, Tashkent, Uzbekistan
3 Non-governmental University of Economy and Pedagogy, Karshi, Uzbekistan
* Corresponding author: shavkat-xurramov59@mail.ru
Mathematical models of the shape of roll contact curves and patterns of distribution of contact stresses in the roll module of a leather squeezing machine were developed. It was revealed that the shapes of the roll contact curves depend on the deformation and geometric parameters of leather and cloth, as well as the coefficient of friction between leather and rolls. It was established that normal stresses change from zero at the beginning and end of the roll contact zone to a maximum at the point of maximum deformation of leather located in the compression zone; shear stresses change their signs at the neutral point, which in the drive roll is located in the compression zone.
© The Authors, published by EDP Sciences, 2023
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.