Application of the semi-Hertzian method to the prediction of wheel wear in heavy haul freight car

Ding, Jian; Fu, Li; Yun-hua, Huang; Sun, Shulei; Zhang, Lixia

doi:10.1016/j.wear.2013.11.052

Cited by 26 publications

(16 citation statements)

References 8 publications

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“…When studying wear in the wheel transversal profile, the wheel circumferential profile was always assumed unaltered [3,9,12,14,[25][26][27][28][29][30]. Vice versa, the wheel transversal profile is assumed not changed in this paper so as to concentrate on the wheel polygonalization, which is also supported by the statistical measurement [21,22].…”

Section: About the Assumptionsmentioning

confidence: 99%

Comparison of wear models for simulation of railway wheel polygonization

Peng

Iwnicki

Shackleton

et al. 2019

Wear

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This paper presents a comparative study on the applicability of existing popular wear models in simulation of railway wheel polygonalization. Four wear models developed by BRR (British Railway Research), KTH (Royal Institute of Technology), USFD (University of Sheffield), and Professor Zobory respectively, are selected for the comparison, with consideration of global and local methods. All the wear models are firstly converted to calculate the instantaneous wear of one contact patch. A uniform expression of the converted wear functions is analytically derived, which allows a quantitative comparison between each wear model. Several scenarios grouped by simple excitation and complex excitation are adopted to assess the fluctuation of the instantaneous wear depth calculated by different wear models. The evolved polygonal wear around the wheel circumference is also compared among the wear models based on a developed prediction program. Simulation results show that all the wear models being investigated in this paper present a similar ability to reflect the fluctuation of the instantaneous wear under various circumstances. Specifically, the fluctuation of the instantaneous wear is obtained with almost the same results using different wear models with respect to the frequency and phase. While the mean value and the fluctuation amplitude of the instantaneous wear, as well as the roughness level of the evolved polygonal wear are all determined by the original wear coefficients used. The derived equivalent wear coefficient is a useful index to identify the proportional relationship among the wear models. Besides, the global method is believed not to be suitable for calculating the polygonal wear of railway wheels due to sharp corners probably generated by the absolute operation for the global WI (Wear Index).

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Section: About the Assumptionsmentioning

confidence: 99%

Comparison of wear models for simulation of railway wheel polygonization

Peng

Iwnicki

Shackleton

et al. 2019

Wear

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show abstract

“…12,13 developed a wear model to calculate the wheel–rail profile evolution, which consisted of two interacting modules: a vehicle dynamics calculation module and a wear analysis module, and Ding et al. 14 simulated the wear phenomenon of wheels for wagons using their model. Gan et al.…”

Section: Introductionmentioning

confidence: 99%

Numerical prediction of rail wear development in high-speed railway turnouts

Wang

2020

Proceedings of the Institution of Mechanical Engineers, Part F:

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Wear of rails in turnouts is a common problem during the operation of high-speed railways. It can seriously affect the running safety of trains and the service lives of wheels and turnout rails. In this study, a numerical prediction model for rail wear development in high-speed railway turnouts was established. According to the material wear theory developed by Archard, the wear depth distribution in the wheel–rail contact patch was calculated based on a vehicle–turnout coupling dynamics simulation and wheel–rail rolling contact analysis. For the dynamics model, various components of the vehicle and complex nonlinear interactions between the components were simulated in detail to guarantee consistency with reality. The combination relationship of the switch and stock rails and the irregular and variable cross-sections of the rails in the switch panel of the turnout were considered. Spatial interpolation was used to achieve three-dimensional transitions between adjacent irregular cross-sections to model the compromised rails in the turnout. In addition, the stiffness and damping characteristics of the track in the turnout zone were taken into account. The rail wear rates for every characteristic section of the switch panel were calculated by the superposition model for rail profile wear. An adaptive-step algorithm was adopted in the iterative computations to update the rail profiles for every characteristic section position, which could reduce the cumulative errors and effectively improve the stability and reliability of the numerical model. Finally, case studies were conducted to investigate the wear developments of the switch and stock rails of high-speed turnouts using the developed model. In addition, the rail wear status of turnouts in the Shanghai–Nanjing high-speed railway was measured. The numerical prediction results are consistent with those of the actual situations in the field, verifying the rationality of the established model. This work shows the potential for guiding the maintenance and optimal design of turnouts and improving the understanding of the formation mechanism and influencing factors of rail wear in turnouts.

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“…Ding et al. 14 integrated the vehicle’s multibody dynamics model and wear calculation code to simulate the wear phenomenon of wheels for wagons. Innocenti et al.…”

Section: Introductionmentioning

confidence: 99%

Numerical prediction of the development of rail wear on high-speed railways

Wang

Gao

2019

Proceedings of the Institution of Mechanical Engineers, Part F:

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In this paper, a numerical prediction model was established to investigate the development of rail wear on high-speed railways, and a corresponding program was written using Matlab. According to Archard’s material wear theory, the wear depth distribution in the wheel–rail contact patch and along the rail profile was calculated based on a simulation of vehicle–track dynamics and a wheel–rail rolling contact analysis. In the dynamics model, various structural components and the complex nonlinear interactions between components were precisely simulated to ensure consistency with reality. Simulations were then conducted for every possible load case, and dimensionless weight factors were introduced to model the diverse operating conditions of a high-speed railway. An adaptive step algorithm was adopted to iteratively update the rail profile and reduce cumulative deviation or errors, improving the stability and reliability of the numerical model. Finally, a case study was conducted to investigate the development of wear in different track sections on a high-speed railway using the developed model. The results indicated that in the circular curve and transition sections, the side wear of the outer rail was obvious, and the wear of the inner rail was relatively smaller and mostly distributed in the middle of the railhead. The wear of the outer rail was more severe in the circular curve section compared to that in the transition sections. The closer to the rail shoulder, the greater the difference between the wear in the circular curve section and that in the transition section. In the tangent section, the wear of both rails was similarly distributed in the middle of the railhead and far less severe than in either the circular curve or transition sections. The agreement between the calculated results and field observations verified the rationality of the established rail wear model, which shows promise for improving the maintenance planning of high-speed railways and furthering the understanding of the rail wear processes.

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Application of the semi-Hertzian method to the prediction of wheel wear in heavy haul freight car

Cited by 26 publications

References 8 publications

Comparison of wear models for simulation of railway wheel polygonization

Comparison of wear models for simulation of railway wheel polygonization

Numerical prediction of rail wear development in high-speed railway turnouts

Numerical prediction of the development of rail wear on high-speed railways

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