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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="data-paper" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Tractors and Agricultural Machinery</journal-id><journal-title-group><journal-title xml:lang="en">Tractors and Agricultural Machinery</journal-title><trans-title-group xml:lang="ru"><trans-title>Тракторы и сельхозмашины</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0321-4443</issn><issn publication-format="electronic">2782-425X</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">634384</article-id><article-id pub-id-type="doi">10.17816/0321-4443-634384</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>New machines and equipment</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Новые машины и оборудование</subject></subj-group><subj-group subj-group-type="article-type"><subject>Scientific Report</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Influence of the operating parameters of air-sieve cleaning of a combine harvester</article-title><trans-title-group xml:lang="ru"><trans-title>Влияние режимных параметров воздушно-решётной очистки зерноуборочного комбайна</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6332-5406</contrib-id><contrib-id contrib-id-type="spin">5643-1885</contrib-id><name-alternatives><name xml:lang="en"><surname>Kuvshinov</surname><given-names>Alexey A.</given-names></name><name xml:lang="ru"><surname>Кувшинов</surname><given-names>Алексей Алексеевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Engineering), Senior Researcher at the Laboratory of Mechanization and Automation of Crop Production</p></bio><bio xml:lang="ru"><p>канд. техн. наук, старший научный сотрудник лаборатории «Механизации и автоматизации растениеводства»</p></bio><email>kyaa@vniisoi.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4288-9835</contrib-id><contrib-id contrib-id-type="spin">8078-1707</contrib-id><name-alternatives><name xml:lang="en"><surname>Usanov</surname><given-names>Vyacheslav S.</given-names></name><name xml:lang="ru"><surname>Усанов</surname><given-names>Вячеслав Сергеевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Cand. Sci. (Agriculture), Leading Researcher at the Laboratory of Mechanization and Automation of Crop Production</p></bio><bio xml:lang="ru"><p>канд. с.-х. наук, ведущий научный сотрудник лаборатории «Механизации и автоматизации растениеводства»</p></bio><email>uvs@vniisoi.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3471-301X</contrib-id><contrib-id contrib-id-type="spin">8193-7685</contrib-id><name-alternatives><name xml:lang="en"><surname>Sakharov</surname><given-names>Vladimir A.</given-names></name><name xml:lang="ru"><surname>Сахаров</surname><given-names>Владимир Александрович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Senior Researcher at the Laboratory of Mechanization and Automation of Crop Production</p></bio><bio xml:lang="ru"><p>старший научный сотрудник лаборатории «Механизации и автоматизации растениеводства»</p></bio><email>sva@vniisoi.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2769-6672</contrib-id><contrib-id contrib-id-type="researcherid">X-4666-2019</contrib-id><contrib-id contrib-id-type="spin">5598-3932</contrib-id><name-alternatives><name xml:lang="en"><surname>Lipkan</surname><given-names>Alexander V.</given-names></name><name xml:lang="ru"><surname>Липкань</surname><given-names>Александр Васильевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>Senior Researcher at the Laboratory of Mechanization and Automation of Crop Production</p></bio><bio xml:lang="ru"><p>старший научный сотрудник лаборатории «Механизации и автоматизации растениеводства»</p></bio><email>lav-blg@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">All-Russian Scientific Research Institute of Soybean</institution></aff><aff><institution xml:lang="ru">Всероссийский научно-исследовательский институт сои</institution></aff></aff-alternatives><pub-date date-type="preprint" iso-8601-date="2024-12-31" publication-format="electronic"><day>31</day><month>12</month><year>2024</year></pub-date><pub-date date-type="pub" iso-8601-date="2024-12-21" publication-format="electronic"><day>21</day><month>12</month><year>2024</year></pub-date><volume>91</volume><issue>6</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>695</fpage><lpage>704</lpage><history><date date-type="received" iso-8601-date="2024-07-17"><day>17</day><month>07</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-12-31"><day>31</day><month>12</month><year>2024</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Eco-Vector</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Эко-Вектор</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Eco-Vector</copyright-holder><copyright-holder xml:lang="ru">Эко-Вектор</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2028-02-21"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc-nd/4.0/</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.eco-vector.com/0321-4443/article/view/634384">https://journals.eco-vector.com/0321-4443/article/view/634384</self-uri><abstract xml:lang="en"><p><bold>BACKGROUND:</bold> An increase in the quantity and quality of soybean crop seed can be achieved by using a combine harvester with two-phase threshing, since during conventional post-harvest processing, the yield of seed material is reduced due to the traumatic effects of the working organs of cleaning machines. One of the most important processes for obtaining soybean seed fraction is the purification process. In this regard, the improvement of air-sieve cleaning systems of combine harvesters is the most important task of combine engineering.</p> <p><bold>OBJECTIVE:</bold> Identification of the patterns of changes in the airflow rate depending on the operating parameters of the air-sieve cleaning system of a combine harvester.</p> <p><bold>MATERIALS AND METHODS:</bold> To study the parameters of the airflow, the experimental part of the research was carried out using a laboratory bench simulating the operation of a combine harvester cleaning system. A total of 43 experiments were conducted in three repetitions according to the matrix of the multifactorial experiment and 4 regression equations were obtained.</p> <p><bold>RESULTS:</bold> Empirical dependences that describe the change in the airflow rate behind the sieve depending on various parameters of the grain cleaning system are presented. The influence of the operating parameters of the air-sieve cleaning system of a combine harvester on the nature of the airflow distribution is studied. The change in the airflow rate at the outlet of the fan diffuser and the flow rate distribution over the entire surface of the upper sieve are considered.</p> <p><bold>CONCLUSIONS:</bold> The obtained patterns will be helpful to optimize the airflow distribution along the entire length of the sieve of the air-sieve cleaning system and to create prerequisites for automating the harvesting process. The decoded regression equations will be the basis for the development of an algorithm for automatic control of the parameters of the air-sieve cleaning of the combine harvester.</p></abstract><trans-abstract xml:lang="ru"><p><bold>Обоснование.</bold> Повышение количества и качества посевного материала сельскохозяйственной культуры сои можно обеспечить с помощью использования комбайна с двухфазным обмолотом, так как при классической послеуборочной обработке выход семенного материала уменьшается за счёт травмирующего воздействия рабочих органов очистительных машин. Одним из важнейших процессов получения семенной фракции сои является процесс очистки. В этой связи совершенствование систем воздушно-решётной очистки зерноуборочных комбайнов является важнейшей задачей комбайностроения.</p> <p><bold>Цель работы</bold> — выявить закономерности изменения скорости воздушного потока в зависимости от режимных параметров системы воздушно-решётной очистки комбайна.</p> <p><bold>Методы.</bold> Для изучения параметров воздушного потока экспериментальная часть исследований была проведена на лабораторном стенде, имитирующем работу системы очистки зерноуборочного комбайна. Всего проведено 43 опыта в трёх повторностях согласно матрице многофакторного эксперимента и получены 4 уравнения регрессии.</p> <p><bold>Результаты.</bold> Представлены эмпирические зависимости, которые характеризуют изменение скорости воздушного потока за решетом в зависимости от различных параметров системы зерноочистки. Исследовано влияние режимных параметров системы воздушно-решётной очистки зерноуборочного комбайна на характер распределения воздушного потока. Рассмотрено изменение скорости воздушного потока на выходе из диффузора вентилятора и распределение скорости на всей поверхности верхнего решета.</p> <p><bold>Заключение.</bold> Полученные закономерности позволят оптимизировать распределение воздушного потока по всей длине решета системы воздушно-решётной очистки и создают предпосылки для автоматизации уборочного процесса. Раскодированные уравнения регрессии будут являться основой при разработке алгоритма автоматического управления параметрами воздушно-решётной очистки комбайна.</p></trans-abstract><kwd-group xml:lang="en"><kwd>soybean harvesting</kwd><kwd>combine harvester</kwd><kwd>air-sieve cleaning</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>уборка сои</kwd><kwd>зерноуборочный комбайн</kwd><kwd>воздушно-решётная очистка</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Rudoy DV, Aleksakov YuF, Golev BYu, et al. 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