A method for calculating the optimal parameters of soil-processing aggregates is proposed. In particular, the optimal parameters for the operation of the new K-424 Kiryusha Russian tractor in adaptive landscape farming are given. As is known, when studying the methods of increasing the efficiency of arable aggregates, it is necessary to consider the soil as an object of machining, which is characterized by hardness, mechanical composition, specific resistance, stickiness, plasticity, humidity, resistance to various deformations, coefficients of external and internal friction, stony, etc. Many researchers found that one of the main factors affecting the technological process of soil cultivation is its hardness. The spatial variability of the soil hardness of the field can be represented in the form of statistical characteristics or by mapping in isolines. The method of representing the spatial variability of the soil hardness of the field by the statistical method consists in establishing the hardness of the soil as a random variable. This method has a number of drawbacks, since it is required to repeatedly measure the studied quantities at the same points of the field, which is not always possible. Therefore, it is expedient to present the spatial variability of the soil hardness of the field in the form of maps containing isolines of soil hardness. Thus, the analysis of research on the operation of arable aggregates has shown that the most general relationship between performance indicators and operating conditions is manifested in their potential performance characteristics (PPC). The PPC combines the potential traction and performance characteristics of tractors and, in relation to the unit, represent the curves of changes in productivity and specific fuel consumption, depending on the individual parameters of its operation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.