Development of a wear model for the wheel profile optimisation on railway vehicles

Ignesti, Mirko; Innocenti, Alice; Marini, L.; Meli, Enrico; Rindi, Andrea

doi:10.1080/00423114.2013.802096

Cited by 27 publications

(25 citation statements)

References 19 publications

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“…As to wheel diameter, to ensure the safety of the train, there are requirements relating to the diameter difference of two wheels in the same shaft and diameter difference of four wheels in the same bogie. Taking the metro vehicle as an example, the range value of wheel diameter is generally 840–770 mm [ 15 – 17 ]. The range value of wheel rim width is 32–26 mm [ 15 – 17 ].…”

Section: Risk Evaluation System Of Bogie Systemsmentioning

confidence: 99%

Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method

Zhang

Zhao

et al. 2014

Computational Intelligence and Neuroscience

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A bogie system is the key equipment of railway vehicles. Rigorous practical evaluation of bogies is still a challenge. Presently, there is overreliance on part-specific experiments in practice. In the present work, a risk evaluation index system of a bogie system has been established based on the inspection data and experts' evaluation. Then, considering quantitative and qualitative aspects, the risk state of a bogie system has been evaluated using an extension theory and an entropy weight method. Finally, the method has been used to assess the bogie system of four different samples. Results show that this method can assess the risk state of a bogie system exactly.

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Section: Risk Evaluation System Of Bogie Systemsmentioning

confidence: 99%

Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method

Zhang

Zhao

et al. 2014

Computational Intelligence and Neuroscience

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“…So, research on wheel-rail profile optimization design can achieve the purpose of reducing wheel-rail dynamic forces and improving wheel-rail contact status by use of the vehicle system dynamic theory [28,29]. Scholars at home and abroad have studied the reduction of wear by optimizing the wheel tread [28][29][30][31]. Vibration characteristics of bogie, car body, or trains are decided by the coordination between stiffness/damping parameters of suspension system and structural properties [27].…”

Section: Introductionmentioning

confidence: 99%

Study on Influence of Diversified Parameters of Vehicle and Track on Wheel Hollow Wear

Gao

Wang

2018

Shock and Vibration

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Wheel hollow wear of high-speed train is one of the main damage types for the wheel. By optimizing the vehicle and track parameters and matching the wheel-rail profile, the hollow wear of wheel can be reduced. In order to study the sensitivity of vehicle and track parameters to the wheel hollow wear, the sensitivity of suspension parameters and the track parameters of the CRH2Ctype high-speed train wheel on the hollow wear of the wheel was studied by the parameter sensitivity analysis method. The concept of the cumulative wear power dissipation was put forward. The distribution characteristics of the wheel hollow wear under the different wheel/rail treads matching were forecasted. The results show that the damping of antihunting motion damper of the vehicle is the most sensitive to the maximum cumulative wear power dissipation of the wheel, followed by the longitudinal stiffness of tumbler journal box node, lateral stiffness of air-spring suspension, vertical damping of primary suspension, vertical stiffness of track, and vertical damping of track. According to the analysis from the combination of sensitive parameters, the cumulative wear power dissipation is unevenly distributed in the lateral direction of the wheel tread and has the obvious peak area, which is basically the same as the actual wear distribution location in the field. The matching of the LMA wheel tread and the CN60N rail tread is a good choice to slow down the hollow wear and reduce the wheel wear rate. And the wheel reprofiling should be timely carried out, otherwise the wear rate would increase and the hollow wear would become more serious.

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“…Luo et al [9] analyzed the influence of the vehicle parameters on the wheel profile wear with a frictional work model. Ignesti et al [10] developed a mathematical model for wheel-rail wear evaluation in complex railway lines and compared the performance provided by different wheel profiles in terms of resistance to wear and running stability. Pombo [11] used a computational tool to simulate the dynamic performance of an integrated railway system and predict the wear evolution of wheel profiles, taking into account the influence of track condition.…”

Section: Introductionmentioning

confidence: 99%

Parametric analysis of wheel wear in high-speed vehicles

Zeng

2014

J. Mod. Transport.

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In order to reduce the wheel profile wear of highspeed trains and extend the service life of wheels, a dynamic model for a high-speed vehicle was set up, in which the wheelset was regarded as flexible body, and the actual measured track irregularities and line conditions were considered. The wear depth of the wheel profile was calculated by the well-known Archard wear law. Through this model, the influence of the wheel profile, primary suspension stiffness, track gage, and rail cant on the wear of wheel profile were studied through multiple iterative calculations. Numerical simulation results show that the type XP55 wheel profile has the smallest cumulative wear depth, and the type LM wheel profile has the largest wear depth. To reduce the wear of the wheel profile, the equivalent conicity of the wheel should not be too large or too small. On the other hand, a small primary vertical stiffness, a track gage around 1,435-1,438 mm, and a rail cant around 1:35-1:40 are beneficial for dynamic performance improvement and wheel wear alleviation.

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Development of a wear model for the wheel profile optimisation on railway vehicles

Cited by 27 publications

References 19 publications

Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method

Risk Evaluation of Bogie System Based on Extension Theory and Entropy Weight Method

Study on Influence of Diversified Parameters of Vehicle and Track on Wheel Hollow Wear

Parametric analysis of wheel wear in high-speed vehicles

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