Theoretical study of the working process of a multivariate cabbage harvester
- Authors: Alatyrev A.S.1, Alatyrev S.S.1, Kruchinkina I.S.1
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Affiliations:
- Chuvash State Agrarian University
- Issue: Vol 91, No 4 (2024)
- Pages: 485-492
- Section: Economics, organization and technology of production
- URL: https://bakhtiniada.ru/0321-4443/article/view/269916
- DOI: https://doi.org/10.17816/0321-4443-627166
- ID: 269916
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Abstract
BACKGROUND: A multivariate cabbage harvester of a block-modular design is proposed for small-scale farming in vegetable growing. At the same time, the cabbage harvester is considered to have three configurations: with an elevator, with a lower longitudinal conveyor, with an elevator and an upper longitudinal conveyor.
AIM: Modeling the working process of a multivariate cabbage harvester to identify its main technological parameters that ensure the efficiency of its operation.
METHODS: The working process of a multivariate cabbage harvester is presented as the functioning of a certain physical system, the state of which changes during the technological process over time depending on stochastic factors. The process of sequential transition of a system from one state to another is considered on the basis of queuing theory depending on the motion intensity of the flow of cabbage heads λ in the technological line of the machine and the service intensity μ of this flow. In this paper, the maximal probabilities of the model states are determined and the stochastic indicators of its functioning are calculated.
RESULTS: Based on the results of calculations of stochastic indicators of the functioning of the model, the optimal number of service personnel n = 2 people was found, when the maximal probability of servicing cabbage heads can be up to 0.934.
CONCLUSION: The working process of a multivariate cabbage harvester is modeled as a stationary stochastic queuing process. Based on the study results, it is recommended to take the number of service personnel at the refining table of the harvester as n = 2 .
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##article.viewOnOriginalSite##About the authors
Alexey S. Alatyrev
Chuvash State Agrarian University
Author for correspondence.
Email: Leha.alatyrev@mail.ru
ORCID iD: 0000-0003-3059-9352
SPIN-code: 8101-2562
Cand. Sci. (Engineering), Head of the Transport and Technological Machines and Facilities DepartmentRussian Federation, 29 K. Marksa street, 428003 Cheboksary
Sergey S. Alatyrev
Chuvash State Agrarian University
Email: S_Alatyrev1955@mail.ru
ORCID iD: 0000-0002-4694-2381
SPIN-code: 7789-5968
Dr. Sci. (Engineering), Professor of the Transport and Technological Machines and Facilities Department
Russian Federation, 29 K. Marksa street, 428003 CheboksaryIrina S. Kruchinkina
Chuvash State Agrarian University
Email: irinka58.84@mail.ru
ORCID iD: 0000-0003-4995-8706
SPIN-code: 1986-5266
Cand. Sci. (Engineering), Associate Professor of the Mathematics, Physics and Information Technology Department
Russian Federation, 29 K. Marksa street, 428003 CheboksaryReferences
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- Atyrev SS, Kruchinkina IS, Atyrev AS. Gentle machine harvesting of cabbage. Vestnik Kazanskogo gosudarstvennogo agrarnogo universiteta. 2020;15(2(58)):72–76. doi: 10.12737/2073-0462-2020-72-76
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