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Research on the dynamic processes of vehicles and an arbitrary configuration rail track, influencing the side wear of the rail head and wheel flange contact surfaces at different values of friction coefficient between them

Abstract The paper studies the influence of the friction coefficient value between the rail heads and wheel flanges on the side wear between their surfaces, depending on the dynamic processes between the vehicles and the rail track of an arbitrary configuration. Research is aimed at reducing the rate of the side parts mutual wear of the rail heads and the wheel flanges of the vehicle running gears. It has been determined that a decrease in the friction coefficient in the range from 0.25 to 0.05 leads to a decrease in the indicators of side surfaces wear of the wheel flanges and rail heads by 3.5-4.5 times and an increase in the stability margin coefficient against wheel derailment of the moving vehicle running gear by 1.3-1.5 times. It has been revealed that the dynamic qualities of moving vehicles when using a continuous welded track and elongated rails, compared with the presence of butt joints on the track, decrease by 15-56%, and the stability and traffic safety indicators improve by 19-26%. The research results are provided for use in the underground, open-cut and rail transport to increase the operational life and traffic safety in transport.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
