Email this article Statistical model for analysis of mass, power and traction characteristics of agricultural tractors
- Authors: Zhukov S.S.1, Makarov V.S.2,3, Belyakov V.V.2, Klushkin A.А.2
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Affiliations:
- Nizhny Novgorod State Engineering and Economic University
- Nizhny Novgorod State Technical University named after R.E. Alekseeva
- State University of Management
- Issue: Vol 92, No 4 (2025)
- Pages: 384-392
- Section: Theory, designing, testing
- URL: https://ogarev-online.ru/0321-4443/article/view/362622
- DOI: https://doi.org/10.17816/0321-4443-681801
- EDN: https://elibrary.ru/XOCGGM
- ID: 362622
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Abstract
BACKGROUND: One of the challenges of modern agricultural industry is the integration of digital and robotic technologies, pursuing the reduction of the human factor in the production chain. Transition from manned agricultural transport and technological machines to autonomous ground mobile facilities (AGMF) is of particular interest. An agricultural tractor is a universal pull-push mobile system of the agricultural industry (ACI), so it can be used as an optimal platform for the design of the AGMF chassis. At the design stage of unmanned ground mobile systems, it is necessary to develop such a technical solution that allows the AGMF to function effectively without loss of mobility. The developed drawbar load has a significant impact on the mobility of the agricultural tractor on the ground. Therefore, in order to obtain an optimal technical solution, it is necessary to define the interrelation between the key characteristics of tractors, helping to select the primary parameters of the AGMF chassis.
AIM: Definition of interrelation between technical and design parameters of wheeled and tracked agricultural tractors as mathematical dependencies in order to select primary parameters of the AGMF.
METHODS: Building of the statistical model was based on compiling a sample of the existing models of agricultural tractors and determining the type of mathematical regularities between technical parameters as regression equations.
RESULTS: Regression equations defining the interrelation between tractor engine power, gross weight, specific engine power and specific ground pressure were obtained, and primary technical parameters of AGMF were selected.
CONCLUSION: The practical value of the study lies in the possibility of using the obtained parameters in the selection of primary parameters in the design, ensuring the competitiveness of the machine in a certain traction-power segment and compliance with agro-technological requirements.
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##article.viewOnOriginalSite##About the authors
Sergey S. Zhukov
Nizhny Novgorod State Engineering and Economic University
Author for correspondence.
Email: ser-9.02.94@yandex.ru
ORCID iD: 0000-0002-8090-5461
SPIN-code: 6476-8929
Senior Lecturer of the Mathematics and Computer Engineering Department
Russian Federation, KnyagininoVladimir S. Makarov
Nizhny Novgorod State Technical University named after R.E. Alekseeva; State University of Management
Email: makvl2010@gmail.com
ORCID iD: 0000-0002-4423-5042
SPIN-code: 9834-6239
Dr. Sci. (Engineering), Professor of the Construction and Road Machines Department, Senior Researcher Associate of the Reverse Engineering Lab
Russian Federation, Nizhniy Novgorod; MoscowVladimir V. Belyakov
Nizhny Novgorod State Technical University named after R.E. Alekseeva
Email: belyakov@nntu.ru
ORCID iD: 0000-0003-0203-9403
SPIN-code: 3944-4416
Dr. Sci. (Engineering), professor, Professor of the Construction and Road Machines Department
Russian Federation, Nizhniy NovgorodAnton А. Klushkin
Nizhny Novgorod State Technical University named after R.E. Alekseeva
Email: aak-nntu@ya.ru
ORCID iD: 0009-0009-3141-6029
SPIN-code: 2266-8679
Assistant lecturer of the Construction and Road Machines Department
Russian Federation, Nizhniy NovgorodReferences
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