METHODOLOGY FOR PREDICTING THE EFFICIENCY OF FORESTRY MACHINERY COMPLEXES

UDC 630*36:621.9

Golyakevich Sergey Alexsandrovich – PhD (Engineering), Assistant Professor, the Department of Logging Machinery, Forest Roads and Timber Production Technology. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: gsa@belstu.by

Goronovsky Andrey Romanovich – PhD (Engineering), Assistant Professor, the Department of Logging Machinery, Forest Roads and Timber Production Technology. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: arg@belstu.by

Korobkin Vladimir Andreevich – DSc (Engineering), Professor, the Department of Tractors. Belarusian National Technical University (65, Nesavisimosti Ave., 220013, Minsk, Republic of Belarus). E-mail: trak_atf@bntu.by

DOI: https://doi.org/ 10.52065/2519-402X-2024-276-17.

Key words: harvester, forwarder, chipper, methodology, efficiency, complex of machines, technology, resource, energy consumption, safety, environmental friendliness.

For citation: Golyakevich S. A., Goronovsky A. R., Korobkin V. A. Methodology for predicting the efficiency of forestry machinery complexes. Proceedings of BSTU, issue 1, Forestry. Nature Management. Processing of Renewable Resources, 2024, no. 1 (276), pp. 125–131 (In Russian). DOI: 10.52065/2519-402X-2024-276-17.

Abstract

The article outlines a methodology for predicting the efficiency of logging machine complexes. The methodology is based on the hypothesis that all operational properties of forestry machines and their evaluation indicators in practice determine a limited number of operational consumer qualities: operational reliability, productivity, efficiency, safety and environmental friendliness. It has been established that all of them can be assessed by the values of useful work performed, energy expended and time spent on performing the operation. These values are combined into a single evaluation criterion of the energy potential of productivity. It is noted that the criteria for calculating can be obtained both experimentally and theoretically on the basis of mathematical modeling of operating technologies, machine designs, energy consumption and resource. The procedure for using the methodology when obtaining data theoretically is outlined. The methodology is divided into a number of blocks responsible for modeling operating conditions, general modeling of the technological process, modeling technological operations, analysis of operational properties, assessment of machine life, analysis of operator preparedness and, in general, for forecasting efficiency based on the work of previous blocks. References are given to the author's previous works, which provide mathematical models underlying the work of individual blocks of the methodology, reveal the conclusion of the evaluation criterion.

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References

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23.10.2023