Forecasting the production of agricultural machinery in the Russian Federation

Abstract

The article examines the production of agricultural machinery in the Russian Federation for the period from 2000 to 2020. The aim of the work is to develop a forecast for the production of the main types of agricultural machinery in the Russian Federation in modern conditions. Within the framework of this, the following tasks are supposed to be solved: - study of the availability of agricultural machinery for domestic agricultural producers; - identification of trends in the development of agricultural machinery production; - construction of econometric models that describe the volume of agricultural machinery produced. The information base of the study was the data of the Federal State Statistics Service. The study used statistical methods, in particular Student’s t-test. The null hypothesis about the presence of a systemic shift in the time series was tested using a dummy variable. The index of production potential was also used in the work. Calculations showed the presence of a systemic shift in the series of the studied indicators. Econometric models were built for each series. For the production of tractors and loaders for agricultural purposes, the model will have a mixed look. Combine production is characterized by quadratic functions. Based on the models obtained, the production of the main types of agricultural machinery in the Russian Federation for the period 2021–2023 was predicted.

Increasing the wear resistance of autotractor equipment parts

“…D is the cylindrical stiffness of the plate, ω is the desired shaft deflection. Determining the optimal conditions for applying a ceramic coating requires research at the pre-production stage [16,17].…”

Study of the efficiency of the transport support of forage harvesters when harvesting corn for silage in the conditions forest-steppe zone

“…Most often, the increase in the cost of the forage base is due to the inclusion of additional costs of the harvesting process: transportation and storage. Large volumes and short agrotechnical deadlines for performing forage harvesting work on farms require the involvement of a large amount of equipment and labour resources; the share of the harvesting and transport process during this period accounts for more than 75% of labour and funds costs [21][22][23][24][25].…”

Study of the wear resistance of hardened harrows of agricultural machines

“…For example, the vibration method and the acoustic emission (AE) method are primarily designed to detect and diagnose local damage, rather than to monitor integral wear [5][6][7]. Wear product analysis (WDA) is a more efficient technology compared to the acoustic emission method and has demonstrated extensive possibilities for assessing the wear mechanism based on such characteristics of wear products as their size, quantity, morphology and color [8][9][10]. However, these signs of wear products are insufficient to reconstruct the surface of the gear teeth, and the accuracy of this method may also be affected by deformation of wear products, accumulation of foreign particles, contamination, etc.…”

“…To strengthen the cutting edge of the parts under study, modern technologies widely use methods of applying various hard, wear-resistant and functional coatings: flame, arc, laser and plasma surfacing, induction (HDPE) surfacing, the creation of bimetallic elements on the cutting edge by cladding, etc. [9][10].…”