CRH3型高速动车组重型设备安装布置研究

在高速运行以及紧急制动时,动车组车下悬吊的重型设备会产生较大的动态载荷并发生一定频率的振动,对列车运行的安全性、平稳性、舒适性以及运行寿命都会有很大影响.为了减少这些因素的影响,对重型设备的分布、悬吊方式和悬吊结构进行了研究.     

高速列车设备舱压力特性分析

利用CFD数值模拟方法,研究了在隧道内会车工况下CRH3型列车设备舱的压力特性,为列车设备舱的结构设计提供了理论依据。     

250km/h动车组头车司机室及客室内流场数值分析

以某250 km/h动车组头车为研究对象,建立了其司机室和客室内流场的计算模型,利用计算流体力学数值仿真方法,采用κ-ε标准湍流计算模型和SIMPLE算法,对头车司机室和客室的空调风道和内流场进行了数值计算,获得了流场内流动参数的详细信息,并结合国际铁路联盟规程UIC 553-01-2005（客车的通风、采暖和空调型式试验）对头车司机室和客室的温度场和速度场进行评估.研究结果表明该头车空调通风系统设计合理,满足人体舒适性要求.     

CRH3型动车组设备舱温度分布和变化规律

为确定动车组设备舱通风散热性能,对列车在环境温度为35~-25℃下运行时,设备舱内空气流动以及传热进行仿真分析,获得牵引变流器表面温度随不同环境温度的变化规律,这为车下设备的合理布局和设计提供依据.     

地铁车空调风道及车室内气流组织数值仿真

以某厂地铁车厢头车为研究对象,结合计算流体力学软件——FLUENT对空调风道及车厢内部三维空间区域的空气流动和传热状况进行了数值分析,根据欧洲标准EN14750-1对空调通风设计方案进行了评估,计算中综合考虑了车体壁面传热、人体散热等多种传热过程.计算结果表明将空调机组下方的八个风道出风口去掉,地铁风道的出风口均匀性得到了有效地改善,风道出风口的平均速度最大差值由2.92 m/s变为2.23 m/s;条缝型送风口能够提供较好的空气品质;在车厢内定员226人的情况下,地铁车厢头车的空调通风系统满足了乘客热舒适性的要求.研究结果为地铁空调列车通风系统的合理设计提供了参考依据.     

A new approach of intelligent design and optimization for shell nosing

Preform design for shell nosing product without machining the inner surface after forming is an experience-extensive work. Generally, the initial design needs to be modified and simulated consequently to get proper preform and nosing die, and the iterative process is time consuming. This paper puts forward a new approach, in which the suitable initial design can be obtained by knowledge-based intelligent technology and the optimal design can be acquired by finite element method (FEM) based geometrical modification. With the CAX object model as the bridge of CAD and CAE, the CAD model with simulation knowledge can be transferred into CAE automatically, and the CAE result can be automatically utilized as well. Based on the comparison between the simulated shape and the desired shape, the dissatisfactory area will be modified. A new simulation and modification process will be carried out based on the modified design. The process is repeated iteratively to get the optimal design. This approach utilizes the commercial CAD and CAE software, without the need of complex back-forward FEM procedures. Based on the new approach, an in-home intelligent shell nosing design and optimization system is developed, and a case study proves that this system can reach a reasonable design efficiently.