Issue |
E3S Web Conf.
Volume 494, 2024
International Conference on Ensuring Sustainable Development: Ecology, Energy, Earth Science and Agriculture (AEES2023)
|
|
---|---|---|
Article Number | 04039 | |
Number of page(s) | 10 | |
Section | Current Agricultural Development | |
DOI | https://doi.org/10.1051/e3sconf/202449404039 | |
Published online | 22 February 2024 |
Numerical and experimental study of the raw cotton saturation with the pneumatic conveyor system of a cotton harvester
1 JV “Agrikhim”LLC, Uzbekistan
2 Institute of Mechanics and Seismic Stability of Structures of the Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
* Corresponding author: nargiza.1968@mail.ru
The article presents a numerical study of the impurity content in raw cotton during machine harvesting, considering the features of the formation of fine trash. An analysis is given of the change in the content of fine trash particles depending on the overall impurity content, starting from the conveyor corridor of the working apparatus to the hopper of the cotton picker. A mathematical model of the process of bringing together fine trash particles with cotton lobules in a pneumatic conveyor system was developed. Numerical studies were conducted to determine the approach distance considering the influence of the parameters of the air-cotton mixture. An analysis of the results of numerical studies is presented. Recommendations are given on factors affecting the saturation of cotton lobules with fine trash particles during transportation in a pneumatic conveyor system. Theoretical studies were conducted based on classical methods for modeling processes in a pneumatic conveyor system using the MathCad 15 programming environment.
© The Authors, published by EDP Sciences, 2024
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.