基于智能化仿真试验平台的货运列车再充气特性
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U260.35

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国家重点研发计划(2017YFB1201302-12B),上海市自然科学基金(17ZR1432000)


Re-inflating Characteristics of Wagon Based on Intelligent Simulation Test Platform
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    摘要:

    基于气体流动理论,依据气体状态方程和质量方程以及流量特性,建立货运列车制动系统再充气过程的数学模型,然后在智能化仿真试验平台上对该模型进行验证,试验所得曲线与仿真曲线基本吻合.考察150辆编组货运列车首车和尾车的再充气过程,得到了不同位置车辆再充气缓解过程的变化特征,并且测试出不同位置处车辆列车管与制动缸的作用时间差.

    Abstract:

    Based on the gas flow theory, according to the gas state equation and mass equation and the flow characteristics, the mathematical model of the re-inflation process of wagon brake system was established. Then, the model was verified on an intelligent simulation test platform. The experimental curve is basically in agreement with the simulation curve. The re-inflation process of the first and tail vehicles of 150 trains was investigated, and the variation characteristics of the vehicle reinflation mitigation process at different positions of the train were obtained, and the time difference between train tube and brake cylinder at different positions was tested.

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应之丁,陈家敏.基于智能化仿真试验平台的货运列车再充气特性[J].同济大学学报(自然科学版),2019,47(10):1508~1513

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  • 收稿日期:2019-01-24
  • 最后修改日期:2019-07-20
  • 录用日期:2019-06-21
  • 在线发布日期: 2019-10-17
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