Wheel Wear Prediction on Trains using In-House and Commercial Softwares

2014 ◽  
Vol 3 (4) ◽  
pp. 43-71 ◽  
Author(s):  
N. Kuka ◽  
R. Verardi ◽  
C. Ariaudo
Keyword(s):  
Wheel Wear ◽  
Wear Prediction

Predicting Railway Wheel Wear Starting From Multi-Body Analysis: A Preliminary Study

2008 ◽  
Author(s):  
Roger Lewis ◽  
Naim Kuka ◽  
Caterina Ariaudo ◽  
Rob Dwyer-Joyce ◽  
Nicola Tassini ◽  
...  
Keyword(s):  
Rolling Contact ◽  
Prediction Tool ◽  
Wheel Wear ◽  
Dynamic Data ◽  
Wear Prediction ◽  
Railway Dynamics ◽  
The Past ◽  
Preliminary Study ◽  
Multi Body ◽  
Contact Parameters

One of the key-elements of train design is the wheelset lifetime, which is strongly dependent on the levels of wheel wear. In order to reduce costs and increase safety, wheel wear needs to be predicted with increasing precision. In the past few years specific tools have been introduced to combine the predicted dynamic data from multi-body models, with the analytical computation of the wheel-rail contact parameters, to achieve an improved wear prediction. The aim of the present work is to consider the different methodologies for wear prediction and to create a wear prediction tool which is based on available railway dynamics codes enhanced by improved rolling contact analysis, combined with recent research on wear.

Wheel wear prediction on a high-speed train in China

2019 ◽  
Vol 58 (12) ◽  
pp. 1839-1858 ◽  
Author(s):  
Yuyi Li ◽  
Zunsong Ren ◽  
Roger Enblom ◽  
Sebastian Stichel ◽  
Guodong Li
Keyword(s):  
High Speed ◽  
High Speed Train ◽  
Wheel Wear ◽  
Wear Prediction

Research on the wheel wear of metro vehicles based on the time-varying passenger flow

2019 ◽  
Vol 71 (9) ◽  
pp. 1038-1046
Author(s):  
AiHua Zhu ◽  
Caozheng Fu ◽  
JianWei Yang ◽  
Qiang Li ◽  
Jiao Zhang ◽  
...  
Keyword(s):  
Load Condition ◽  
Constant Load ◽  
Variable Load ◽  
Time Varying ◽  
Wheel Wear ◽  
Wear Prediction ◽  
Content Type ◽  
Passenger Flow ◽  
Wheel Profile ◽  
Simulation Results

Purpose This study aims to investigate the effect of time-varying passenger flow on the wheel wear of metro vehicles to provide a more accurate model for predicting wheel wear and a new idea for reducing wheel wear. Design/methodology/approach Sectional passage flow data were collected from an operational metro line. A wheel wear simulation based on time-varying passenger flow was performed via the SIMPACK software to obtain the worn wheel profile and wear distribution. The simulation involves the following models: vehicle system dynamics model, wheel-track rolling contact model, wheel wear model and variable load application model. Later, the simulation results were compared with those obtained under the traditional constant load condition and the measured wear data. Findings For different distances traveled by the metro vehicle, the simulated wheel profile and wear distribution under the variable load remained closer to the measurements than those obtained under the constant load. As the distance traveled increased, the depth and position of maximum wear and wear growth rate under the variable load tended to approach the corresponding measured values. In contrast, the simulation results under the constant load differed greatly from the measured values. This suggests that the model accuracy under the variable load was significantly improved and the simulation results can offer a more accurate basis for wear prediction. Practical implications These results will help to predict wheel wear more accurately and provide a new idea for simulating wheel wear of metro vehicles. At the same time, measures for reducing wheel wear were discussed from the perspective of passenger flow changes. Originality/value Existing research on the wheel wear of metro vehicles is mainly based on the constant load condition, which is quite different from the variable load condition where the passenger flow in real vehicles varies over time. A method of simulating wheel wear based on time-varying load is proposed in this paper. The proposed method shows a great improvement in simulation accuracy compared to traditional methods and can provide a more accurate basis for wear prediction and wheel repair.

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