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首页> 外文会议>Proceedings of the ASME/IEEE joint rail conference 2009 >PREDICTED WHEEL WEAR AND RCF PERFORMANCE USING VAMPIRE AUTOMATION ROUTINES
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PREDICTED WHEEL WEAR AND RCF PERFORMANCE USING VAMPIRE AUTOMATION ROUTINES

机译：使用吸血鬼自动化程序预测的轮毂磨损和RCF性能

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摘要

Predicted wheel performance is an invaluable tool in developing new components such as wheel profiles and truck components and also in understanding and controlling wheel and rail wear and rolling contact fatigue (RCF). This paper outlines a vehicle dynamics trial using VAMPIRE Pro to compare the predicted wear and RCF performance of the WRISA2 wheel profile developed by the National Research Council of Canada (NRC) and the United Kingdom P8 wheel profile using measured wheel profiles from an in-service trial.rnWRISA2 and P8 profiles were fitted to two passenger trains running in normal service. Wheel profiles were measured every 10,000 miles. These measured profiles were used to predict wear and RCF damage for each wheel of the investigated rail vehicle, using a combination of VAMPIRE transient analysis and another program called the "Whole Life Rail Model" (WLRM). This process was repeated up to 190,000 miles run in service, allowing a clear comparison of the changing rail wear and RCF performance of the two profiles up to this mileage.rnThis process was automated using new features within VAMPIRE that allow communication to 3rd party computer programs including the WLRM, Microsoft Excel, and Microsoft Visual Basic. This research process presents itself to be a very useful tool in predicting wheel wear performance for any number of new wheel and truck components.
机译：预测的车轮性能是开发新组件（如车轮轮廓和卡车组件）以及了解和控制车轮和轨道磨损以及滚动接触疲劳（RCF）的宝贵工具。本文概述了使用VAMPIRE Pro进行的车辆动力学试验，以比较由加拿大国家研究委员会（NRC）和英国P8车轮轮廓开发的WRISA2车轮轮廓的预计磨损和RCF性能，并使用了在役的车轮轮廓trial.rnWRISA2和P8配置文件已安装到正常运行的两列旅客列车上。每10,000英里测量一次车轮轮廓。通过结合VAMPIRE瞬态分析和另一个称为“终身轨道模型”（WLRM）的程序，这些测量的轮廓用于预测所研究轨道车辆的每个车轮的磨损和RCF损坏。重复此过程直至运行了190,000英里，从而可以清晰地比较直至此里程的两个轮廓的变化的铁路磨损和RCF性能。rn该过程是使用VAMPIRE中的新功能自动进行的，该功能允许与第三方计算机程序进行通信包括WLRM，Microsoft Excel和Microsoft Visual Basic。该研究过程本身对预测任何数量的新车轮和卡车零部件的车轮磨损性能是非常有用的工具。

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