Дослідження продуктивності скрепера методом імовірнісного аналізу

Abstract. Problem. Earthmoving machines, which include scrapers, arewidely used in various construction sectors. The efficiency of using scrapers depends on a number of factors, such as machine parameters, condition of accessroads, earth works technology, and soil transport distances, which are among the most important levers that determine the technical and economic performance of the machines. Depending on the above factors, the productivity of scrapers, which depend son the time of soil collection and transportation, can vary widely, and determining the rational values of which is an urgent task. Goal. On the basis of the developed method of probabilistican alysis of scraper productivity as nonlinear multi-parameter dependencies andwith the help of unctionaland technologi calanalysis, to assess the technical and economic efficiency of the machine. Methodology. Mathematical models used to assess machine performance are presented in the form of nonlinear real functions of a finite set of in dependent arguments. The latter include design, experimental and technological parameters of machines. Results. The use of the method of probabilistic analysis of scraper productivity, presented in the form of nonlinear multi-parameter dependencies and with the help off unctional and technological analysis, allowed us to determine the ranking of the influence of a number of parameters in descending order of importance, on the basis of which it was concluded that the volume of soil collected in the scraper bucket has the greatest impact on productivity. These cold determining factor is the distance of soil transport, and other parameters that characterise the scraper's operation are secondary interms of the impact on productivity. Originality. The dependence of productivity on the bucket capacity and the distance of soil transportation was obtained, which allowed us to develop recommendations for choosing the size of the scraper depending on the operating conditions. It is concluded that it is expedient to use operation schemes and scraper designs that ensure maximum filling of the bucket with soil. Practicalvalue. The primary significance of the influence of the degree of filling the scraper bucket with soil allow conclude that it is advisable to operate a scraper with a pusher, as part of a scraper train, with forced bucket filling, i.e. in modes that allow for the full loading of the scraper bucket

Publication Details

Journal
Scientific periodicals of Ukraine
Published
2025-05-16
Primary Topic
Advanced Power Generation Technologies
Type
article
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article

Дослідження продуктивності скрепера методом імовірнісного аналізу

Scientific periodicals of Ukraine
Advanced Power Generation Technologies
article

Дослідження продуктивності скрепера методом імовірнісного аналізу

article en

Abstract

Abstract. Problem. Earthmoving machines, which include scrapers, arewidely used in various construction sectors. The efficiency of using scrapers depends on a number of factors, such as machine parameters, condition of accessroads, earth works technology, and soil transport distances, which are among the most important levers that determine the technical and economic performance of the machines. Depending on the above factors, the productivity of scrapers, which depend son the time of soil collection and transportation, can vary widely, and determining the rational values of which is an urgent task. Goal. On the basis of the developed method of probabilistican alysis of scraper productivity as nonlinear multi-parameter dependencies andwith the help of unctionaland technologi calanalysis, to assess the technical and economic efficiency of the machine. Methodology. Mathematical models used to assess machine performance are presented in the form of nonlinear real functions of a finite set of in dependent arguments. The latter include design, experimental and technological parameters of machines. Results. The use of the method of probabilistic analysis of scraper productivity, presented in the form of nonlinear multi-parameter dependencies and with the help off unctional and technological analysis, allowed us to determine the ranking of the influence of a number of parameters in descending order of importance, on the basis of which it was concluded that the volume of soil collected in the scraper bucket has the greatest impact on productivity. These cold determining factor is the distance of soil transport, and other parameters that characterise the scraper's operation are secondary interms of the impact on productivity. Originality. The dependence of productivity on the bucket capacity and the distance of soil transportation was obtained, which allowed us to develop recommendations for choosing the size of the scraper depending on the operating conditions. It is concluded that it is expedient to use operation schemes and scraper designs that ensure maximum filling of the bucket with soil. Practicalvalue. The primary significance of the influence of the degree of filling the scraper bucket with soil allow conclude that it is advisable to operate a scraper with a pusher, as part of a scraper train, with forced bucket filling, i.e. in modes that allow for the full loading of the scraper bucket

Scientific periodicals of Ukraine
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Advanced Power Generation Technologies
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Дослідження продуктивності скрепера методом імовірнісного аналізу · Scientific periodicals of Ukraine (2025) | TGRS Research Map | TGRS