Research on wheel hollow wear and dynamic performance of freight radial bogies

Li, Hengli; Fu, Li; Yun-hua, Huang

doi:10.1177/0954409716642486

Cited by 14 publications

(6 citation statements)

References 6 publications

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“…Hollow tread is one of the important factors that determines wheel-rail contact location, contact size, and dynamic interaction of the railcar and track. 16 For these reasons, many studies have focused on hollow tread. Tavakkoli et al 17 investigated the effect of hollow-worn wheels on the dynamic behavior of a passenger coach and showed that hollow-worn wheels with a depth of greater than 2 mm induce lateral oscillations of the railcar and increased the risk of truck hunting.…”

Section: Approachmentioning

confidence: 99%

Probabilistic review of wheel profiles based on hollow tread in the U.S. heavy haul rail network

Lee

Dersch

Lima

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part F:

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Wheel profile is one of the most critical factors that governs the dynamic interaction between railcar wheels and the rail. This paper quantifies and analyzes 15,000 wheel profiles that were randomly selected from a dataset obtained from wayside wheel profile measurement systems from railcars that are in unrestricted interchange in the North American Class I railroad network. Mean dimensions for each of the four critical wheel tread parameters were as follows; 30.5 mm (1.202 in.) for flange height, 35.4 mm (1.395 in.) for flange thickness, 0.483 mm (0.019 in.) for hollow tread, and 37.8 mm (1.488 in.) for rim thickness. Further evaluation focused on the magnitude of hollow tread, one of the important factors that determines wheel rail contact location, contact patch size, and dynamic interaction of the railcar and track. Correlative analysis revealed that hollow tread is linearly related to flange height, flange thickness, and rim thickness. Given this relationship, we categorized wheel profile data into characteristic bins of wheel profiles, and a new classification system based on hollow tread was proposed that should be considered when designing track infrastructure components (e.g., turnout frogs). Combinations of parameters were derived and organized into five wheel-profile classification ranges, based on “most likely” to “least likely” profiles that might be encountered. For the five classifications (Type A to Type E), a range of hollow tread from 0 mm to 5 mm (interval of 1 mm) and corresponding mean values for the three other parameters were applied. This probabilistic analysis and classification of wheel profiles into categories enables better understanding of current North American wheel conditions. Additionally, these data and the proposed analysis method can be leveraged to further optimize wheel profiles and track components, identify relationships with rates of rail surface defects and track degradation, and prioritize maintenance.

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Section: Approachmentioning

confidence: 99%

Probabilistic review of wheel profiles based on hollow tread in the U.S. heavy haul rail network

Lee

Dersch

Lima

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part F:

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show abstract

“…Sui et al (2021) explored and analyzed the wheel diameter difference of heavy-haul freight vehicles and studied its effect on wheel wear. Li et al (2017) analyzed the causes of the wear and the influencing factors of wheel wear of heavy-haul freight vehicles by establishing two steering bogie models. Orlova and Boronenko (2010) analyzed the effect of the three major components of the steering bogie on the wheel flange by a dynamic model.…”

Section: Introductionmentioning

confidence: 99%

Effect of line parameters on wheel wear of heavy–haul freight vehicle

Wang,

Zhao,

et al. 2024

ILT

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Purpose The serious wear problem of heavy-haul freight vehicle wheels affects the safety and economy of vehicle operation. This paper aims to study wheel wear evolution law and the influence of line parameters on wheel wear of heavy-haul freight, and provide the basis for operation and line maintenance. Design/methodology/approach The wheel wear test data of heavy-haul freight vehicles were analyzed. Then a heavy-haul freight vehicle dynamic model was established. The line parameters influencing wheel wear in heavy-haul freight vehicles were also analyzed by the Jendel wear model, and the effects of rail cant, rail gauge, rail profile and line ramp on wheel wear were analyzed. Findings A rail cant of 1:40 results in less wheel wear; an increase in the rail gauge can reduce wheel wear; and when matched with the CHN60 rail, the wear depth is relatively small. A decrease of 9.21% in wheel wear depth when matched with the CHN60 rail profile. The ramp of the heavy-haul line is necessary to consider for calculating wheel wear. When the ramp is considered, the wear depth increases by 8.47%. The larger the ramp, the greater the braking force and therefore, the greater of the wheel wear. Originality/value This paper first summarizes the wear characteristics of wheels in heavy-haul freight vehicles and then systematically analyzes the effect of line parameters on wheel wear. In particular, this study researched the effects of rail cant, rail gauge, rail profile and line ramp on wheel wear. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0038/

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“…Te results show that concave tread does not directly lead to vehicle swaying instability, but will aggravate vehicle lateral vibration. Li et al [19] used multibody dynamics simulation software Simpack to compare the changes in vehicle operation safety index before and after wheel wear. Sawley et al [20,21] analyzed the changes of wheel-rail contact geometry, wheelset yaw angle, and lateral force with wheel concave wear by using experimental and simulation analysis techniques.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wheel Wear and Wheel-Rail Dynamic Characteristics of High-Speed Trains under Braking Conditions

Song,

Lu,

Sun

et al. 2024

Shock and Vibration

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When high-speed trains operate under braking conditions, the wheel-rail interaction increases significantly, which can lead to more serious wear problems. To analyze the evolution of wheel wear and the dynamic characteristics of wheel-rail under braking conditions, this paper first carries out long-term monitoring of the service state of wheel-rail during the operation period. The study analyzed the matching characteristics of the measured wheel-rail profile and calibrated the wear model by using the collected data. The resulting wear prediction model was then used to examine the wheel wear characteristics under braking conditions. The research results indicate that during the operation period, the wheel experiences tread concave wear within a range of ±20 mm of the rolling circle, at a rate of approximately 0.05 mm per 10,000 km. Meanwhile, the rail experiences top surface wear at a natural rate of about 0.09 mm per year. Concave wear causes the contact point of the wheel-rail to appear in two zones, resulting in a sudden change of contact geometric parameters. The concave worn wheel and rail with a 60 N profile have better matching compared to the 60 rail profile. Increasing the braking torque and wheel-rail friction coefficient will significantly increase the wheel wear depth on straight sections. On small-radius curve sections, rail side lubrication can significantly reduce high rail side wheel flange wear. A worn concave wheel can lead to unfavorable wheel-rail contact geometry characteristics and increase low-frequency components in the vehicle’s lateral dynamic response.

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Research on wheel hollow wear and dynamic performance of freight radial bogies

Cited by 14 publications

References 6 publications

Probabilistic review of wheel profiles based on hollow tread in the U.S. heavy haul rail network

Probabilistic review of wheel profiles based on hollow tread in the U.S. heavy haul rail network

Effect of line parameters on wheel wear of heavy–haul freight vehicle

Analysis of Wheel Wear and Wheel-Rail Dynamic Characteristics of High-Speed Trains under Braking Conditions

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