The influence of the condition of three-piece freight bogies on wheel flange wear: simulation and operation monitoring

Orlova, Anna; Boronenko, Yuri

doi:10.1080/00423111003668211

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…When predicting the wheel wear, the value of the wear coefficient is crucial as it determines the rate of wear. Jendel provided the relationship between the wear coefficient, contact pressure and sliding speed refer to Orlova and Boronenko (2010). The wear process is shown in Figure 3(a).…”

Section: Wheel Wear Prediction Modelmentioning

confidence: 99%

“…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. Fergusson et al (2008) reduced flange wear by optimizing suspension parameters.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Wheel Wear Prediction Modelmentioning

confidence: 99%

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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“…Many different wedge suspension models are available in the open literature [35][36][37][38][39][40]. The model used in this paper has the structure shown in Figure 4 and can be expressed as where F N1 is the normal force between side frame and wedge; F N2 is the normal force between wedge and bolster; z b is the vertical displacement of bolster; γ is the toe angle or the vertical inclination angle of the wedge-side frame contact surface; μ 1 is the coefficient of friction on wedge-side frame contact surface; α is the wedge angle; μ 2 is the coefficient of friction on wedge-bolster contact surface; m w is the wedge mass; m b is the bolster mass; G w is the weight of the wedge; G b is the weight of the bolster; F kb is the bolster spring force; F cp is the centre plate force; and F kw is the wedge spring force.…”

Section: D Wagon Modellingmentioning

confidence: 99%

Train braking simulation with wheel-rail adhesion model

Cole

Spiryagin

2019

Vehicle System Dynamics

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This paper modelled the vehicles in conventional Longitudinal Train Dynamics (LTD) as 2D models that considers suspensions and wheelrail contact. The Polach model was used as the adhesion model for faster computing speeds. A 2D train model was developed and solved using a parallel computing technique called Message Passing Interface. A train with the configuration of 1 locomotive + 120 wagons + 1 locomotive + 120 wagons was simulated in three different braking scenarios: emergency brake, full-service brake and minimum service brake. The same simulations were also conducted using a LTD model and the results are compared with those of the 2D train model. The comparisons indicate that: (1) wheelset rotational inertia needs to be considered in LTD models to achieve matched results with the 2D train model; (2) in most cases, simulated coupler forces from the 2D train model are slightly lower than those from the LTD model; (3) during minimum service brake and full-service brake, the differences of simulated coupler forces between the two models are lower than 100 kN; and (4) during emergency brake, a maximum difference of 266 kN was simulated, which accounts for 35% of the maximum force simulated by the LTD model.

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“…The measurement data were used as reference when choosing the wear model parameters as far as it refers to the well-determined test conditions compared with experimental data available from field tests [6] of freight wagons. Data for wear coefficients and friction coefficients, obtained by tests of wheel and rail materials on special rigs, were not available.…”

Section: Available Experimental Datamentioning

confidence: 99%

Refining the parameters of Archard's wear model for calculating wear of wheels applied for 25 t per axle freight wagons on Russian railways

Саидова

Orlova

2014

Vehicle System Dynamics

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The aim of the research is for a reasonable choice of wear coefficients for severe and mild phases in Archard's abrasive wear theory and friction coefficients for wheel flange and tread that correspond to conditions of Russian track for wheel profile wear modelling using dynamic models of wagons. This paper considers the gondola wagon on bogies model 18-9855 that are of the three-piece Barber S-2-R design. The wagon running test results on Experimental Loop Track in Scherbinka, the results of hardness measurements of wheel flange/tread and of wheel profile wear modelling are presented in this paper. In conclusion, a comparison of wheels wear of two freight wagons' bogies (with friction and elastic-friction links of wheel sets with side frames) on the basis of specified wear model was carried out.

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The influence of the condition of three-piece freight bogies on wheel flange wear: simulation and operation monitoring

Cited by 13 publications

References 2 publications

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

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

Train braking simulation with wheel-rail adhesion model

Refining the parameters of Archard's wear model for calculating wear of wheels applied for 25 t per axle freight wagons on Russian railways

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