This paper reports fundamental research on the general conditions for railway wheel polygonal wear to evolve. A common workflow for prediction of railway wheel polygonization is presented including assumptions, simulation scheme, and wear models. Based on this workflow, some rules for the evolution of railway wheel polygonization are proposed providing innovative perspectives to understand the basic mechanism of railway wheel polygonization. After summarising these rules, the general conditions for railway wheel polygonal wear to evolve are established. The phase between the instantaneous wear depth and the excitation is the key indicator determining the wheel OOR (Out-Of-Roundness) evolution direction (to grow or to diminish). The evolution tendency curve obtained from the instantaneous wear FRF (Frequency Response Function) is a useful tool to predict the OOR evolution, especially for predicting the OOR order that would grow predominantly at a given speed. If one or more structural modes can dominate the evolution tendency curve, and the energy distribution of track excitation allows this/these structural modes to be excited effectively, corresponding OOR orders can occur dominantly.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    General conditions for railway wheel polygonal wear to evolve


    Contributors:
    Peng, Bo (author) / Iwnicki, Simon (author) / Shackleton, Philip (author) / Song, Yang (author)

    Published in:

    Vehicle System Dynamics ; 59 , 4 ; 568-587


    Publication date :

    2021-04-03


    Size :

    20 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Influence of polygonal wear of railway wheels on the wheel set axle stress

    Wu,X. / Chi,M. / Wu,P. et al. | Automotive engineering | 2015



    Influence of polygonal wear of railway wheels on the wheel set axle stress

    Wu, Xingwen / Chi, Maoru / Wu, Pingbo | Taylor & Francis Verlag | 2015


    A new DFT-based dynamic detection framework for polygonal wear state of railway wheel

    Wang, Qiushi / Xiao, Zhongmin / Zhou, Jinsong et al. | Taylor & Francis Verlag | 2023


    A dynamic detection method for polygonal wear of railway wheel based on parametric power spectral estimation

    Wang, Qiushi / Xiao, Zhongmin / Zhou, Jinsong et al. | Taylor & Francis Verlag | 2023