Issue |
EPJ Web Conf.
Volume 318, 2025
III International Conference on Advances in Applied Physics and Mathematics for Energy, Environment and Earth Science (AAPM-III 2025)
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 7 | |
Section | Applied Physics and Mathematics in Energy Systems | |
DOI | https://doi.org/10.1051/epjconf/202531801008 | |
Published online | 17 February 2025 |
https://doi.org/10.1051/epjconf/202531801008
Experimental evaluation of traction characteristics of the multi-support irrigation machine "Kuban-LK1"
State Educational Institution of Higher Education of the Moscow Region “State Social and Humanitarian University”, Kolomna, Russia
* Corresponding author: evseev.evgeniy.1995@mail.ru
Published online: 17 February 2025
The article proves that the optimization of the running gear parameters for the multi-support irrigation machine "Kuban-LK1" is based on optimizing the "rain - irrigation surface - irrigation machine" system, which determines the energy-traction properties of the machine. The paper examines the influence of soil adhesion and the height of soil grousers (depending on wear) of the pneumatic tires on the machine's trolleys on the aforementioned characteristics. Laboratory research data is presented, indicating the practical absence of soil sticking to the tires due to its washoff by the force impact of artificial rain. It is pointed out that the irrigation machine provides the necessary energy-traction properties across the entire range of irrigation rates. A slight decrease in these properties is observed at increased water supply rates (400 m³/ha and above), while an increase is noted when changing the direction and height of the soil grousers.
© The Authors, published by EDP Sciences, 2025
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.