Skidding characteristics of urban rail vehicle axle-box bearings considering surface waviness on races

As one of the core transmission components, axle-box bearings have been widely applied in urban rail vehicles and played a crucial role in their safe and stable operation. No matter in the starting and stopping stage or stable operation stage of the vehicle, the skidding phenomenon in axle-box bearings exists and impacts their own dynamic characteristics. Furthermore, as one of the main shape errors of the bearing surface, waviness may cause fluctuations for skidding characteristics of axle-box bearings. This study investigates the skidding dynamic analysis of axle-box bearings, taking into account race surface waviness. Firstly, a dynamics model for double-row cylindrical roller bearings is established, considering the cage flexibility and friction forces between different components. Then, this model is coupled with a three-dimension vehicle–track model, allowing for more precise dynamic simulation of axle-box bearings under actual running conditions. Furthermore, an excitation related to race surface waviness is added to the coupling model through time-varying displacement and contact stiffness. At last, the influence of race surface waviness on skidding characteristics of axle-box bearings is analyzed. The effectiveness of the proposed model is validated through theoretical analysis and field tests. Simulation results demonstrate that race surface waviness can impact the cage and roller slip ratio of axle-box bearings. Overall, this study provides valuable insights into the skidding dynamic analysis of axle-box bearings, highlighting the importance of considering race surface waviness in designing and maintaining axle-box bearings.

[1]  Liang Ling,et al.  Fault diagnosis method of wheel diameter difference based on stacked autoencoder and multiple kernel learning , 2022, Journal of Vibration and Control.

[2]  Hongli Gao,et al.  Multisource Partial Transfer Network for Machinery Fault Diagnostics , 2022, IEEE Transactions on Industrial Electronics.

[3]  R. G. Metcalfe,et al.  Hydrogen embrittlement of a tapered roller bearing due to lubricant breakdown , 2022, Engineering Failure Analysis.

[4]  Dingcheng Zhang,et al.  An Adaptive Graph Morlet Wavelet Transform for Railway Wayside Acoustic Detection , 2022, Journal of Sound and Vibration.

[5]  Kaiyun Wang,et al.  Dynamic analysis of traction motor in a locomotive considering surface waviness on races of a motor bearing , 2021, Railway Engineering Science.

[6]  Hongli Gao,et al.  Pareto-Optimal Adaptive Loss Residual Shrinkage Network for Imbalanced Fault Diagnostics of Machines , 2021, IEEE Transactions on Industrial Informatics.

[7]  Hongchuan Cheng,et al.  Mechanical characteristics and nonlinear dynamic response analysis of rotor-bearing-coupling system , 2021 .

[8]  W. Zhai,et al.  Skidding dynamic performance of rolling bearing with cage flexibility under accelerating conditions , 2021 .

[9]  Zhiqiang Zhang,et al.  Fault signature enhancement and skidding evaluation of rolling bearing based on estimating the phase of the impulse envelope signal , 2020 .

[10]  Paul Allen,et al.  Influence of wheel-polygonal wear on the dynamic forces within the axle-box bearing of a high-speed train , 2020, Vehicle System Dynamics.

[11]  Qiong Liu,et al.  Supporting Frontline Nurses During the Fight Against COVID-19 , 2020, Journal of the American Psychiatric Nurses Association.

[12]  Jing Liu,et al.  A time-varying friction moment calculation method of an angular contact ball bearing with the waviness error , 2020 .

[13]  Yao Cheng,et al.  Effect of vehicle vibration environment of high-speed train on dynamic performance of axle box bearing , 2019 .

[14]  W. Zhai,et al.  An advanced vehicle–slab track interaction model considering rail random irregularities , 2018 .

[15]  Xi Zhang,et al.  CAR-T cells and allogeneic hematopoietic stem cell transplantation for relapsed/refractory B-cell acute lymphoblastic leukemia. , 2017, Immunotherapy.

[16]  Jing Liu,et al.  A comparative study of surface waviness models for predicting vibrations of a ball bearing , 2017 .

[17]  Zhenwei Lu,et al.  Cage slip characteristics of a cylindrical roller bearing with a trilobe-raceway , 2017 .

[18]  Zhengjia He,et al.  An investigation on the occurrence of stable cage whirl motions in ball bearings based on dynamic simulations , 2016 .

[19]  Xiaojun Zhou,et al.  Dynamic analysis of double-row self-aligning ball bearings due to applied loads, internal clearance, surface waviness and number of balls , 2014 .

[20]  Jing-Shan Zhao,et al.  A study on waviness induced vibration of ball bearings based on signal coherence theory , 2014 .

[21]  Chris K. Mechefske,et al.  An analytical model to investigate skidding in rolling element bearings during acceleration , 2012 .

[22]  F. Sadeghi,et al.  A Discrete Element Approach for Modeling Cage Flexibility in Ball Bearing Dynamics Simulations , 2009 .

[23]  Stefan Björklund,et al.  Friction models for sliding dry, boundary and mixed lubricated contacts , 2007 .

[24]  Pradeep K. Gupta,et al.  Dynamics of Rolling-Element Bearings—Part III: Ball Bearing Analysis , 1979 .

[25]  Pradeep K. Gupta,et al.  Transient Ball Motion and Skid in Ball Bearings , 1975 .

[26]  Pradeep K. Gupta,et al.  Generalized dynamic simulation of skid in ball bearings , 1975 .

[27]  T. A. Harris.  An Analytical Method to Predict Skidding in High Speed Roller Bearings , 1966 .

[28]  T. E. Tallian,et al.  Progress in Rolling Bearing Vibration Research and Control , 1965 .