地铁列车供风系统静态气密性研究

Static Airtightness of Air Supply System for Metro Trains

  • 摘要:
    目的 地铁列车供风系统为车载用风设备提供动力,若气密性较低将会导致供风系统效能下降,使得制动装置、车门控制及悬挂系统等关键车载设备可靠性下降。因此,有必要对地铁列车供风系统气密性状态进行研究。
    方法 对小孔泄漏模型,以及平板或环形缝隙泄漏模型进行了分析,总结了泄漏处位置及泄漏孔数量对泄漏速度的影响。依据供风系统部件气密性要求,建立了带有泄漏特性的元件模型。结合不同泄漏参数对泄漏速度的影响,搭建了地铁列车供风系统仿真模型,针对两种典型泄漏工况进行了24 h静态气密性仿真分析,并验证了该模型的准确性。
    结果及结论 与实际泄漏特征更为接近的缝隙泄漏模型中,总风缸压力在泄漏24 h后仍可保持约200 kPa,而小孔泄漏在20 h后压力已接近0值,证实了系统中由缝隙泄漏占主导。泄漏位置及泄漏孔数量对总泄漏速度影响较小,在相同压力水平下,多个泄漏点可等效为单一泄漏点。通过实测压力数据对模型泄漏参数进行修正,可使模型适配不同车辆类型,实现对供风系统气密性状态的准确预测与长时性能评估。

     

    Abstract:
    Objective The metro train air supply system provides power for onboard pneumatic equipment. Insufficient airtightness may lead to a reduction in the efficiency of the air supply system, thereby decreasing the reliability of critical onboard equipment such as braking devices, door control systems, and suspension systems. Therefore, it is necessary to study the airtightness condition of the metro train air supply system.
    Method Small-orifice leakage models as well as flat-plate or annular gap leakage models are analyzed, the effects of leakage location and leakage opening numbers on leakage speed are summarized. Based on the airtightness requirements of air supply system components, a component model with leakage characteristics is developed. Combining the impact of different leakage parameters on leakage speed, a simulation model of the metro train air supply system is developed. A 24-hour static airtightness simulation analysis is conducted for two typical leakage conditions, and the accuracy of the model is verified.
    Result & Conclusion  In the gap leakage model that is closer to the actual leakage characteristics, the total air reservoir pressure can still be maintained at approximately 200 kPa after 24 h of leakage, whereas in the small-orifice leakage model, the pressure approaches zero after 20 h, confirming that the gap leakage is the dominant leakage mode in the system. Leakage location and leakage opening numbers have a relatively small effect on the total leakage speed; at the same pressure level, multiple leakage points can be equivalently represented as a single leakage point. By calibrating the model leakage parameters using measured pressure data, the model can be adapted to different vehicle types, enabling accurate prediction of the airtightness condition and long-term performance evaluation of the air supply system.

     

/

返回文章
返回