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Direct Numerical Simulation of Heated Cryogenic Channel Flow at Supercritical Pressure

机译:超临界压力下低温通道热流的直接数值模拟

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Predicting heat transfer characteristics in regenerative cooling channels at supercritical pressure is crucial to thermal designs of liquid rocket engines. Past numerical studies indicated that current Reynolds-Averaged Navier-Stokes (RANS) simulations have poor accuracy in predicting heat transfer characteristics of transcritical flow with deteriorated heat transfer. For the discussion of the poor accuracy in current RANS, comparison between Direct Numerical Simulation (DNS) is an attractive approach. However, there are two large problems in conducting DNS of deteriorated heat transfer flowfields. Firstly, it is not clear if the deteriorated heat transfer can be observed even at low Reynolds number flowfields. Secondly, conventional constant heat flux conditions may cause large temperature fluctuation on the channel wall. To investigate those two problems, RANS and DNS simulations of heated cryogenic channel flow at supercritical pressure are conducted. RANS clarified that deteriorated heat transfer can be observed even at low-Reynolds number flowfields. A comparison between RANS and DNS shows that turbulent heat flux in DNS is larger than RANS. The large heat flux is caused by temperature fluctuation on the wall and the fluctuation is due to a constant instantaneous heat flux condition. This DNS result indicates that constant heat flux wall conditions without temperature fluctuation have to be imposed in DNS of the deteriorated heat transfer flowfields.
机译:预测超临界压力下再生冷却通道中的传热特性对液体火箭发动机的热设计至关重要。过去的数值研究表明,当前的雷诺平均Navier-Stokes(RANS)模拟在预测传热变差的跨临界流的传热特性时准确性较差。对于当前RANS精度差的讨论,直接数值模拟(DNS)之间的比较是一种有吸引力的方法。然而,在进行恶化的传热流场的DNS的处理中存在两个大问题。首先,不清楚即使在低雷诺数流场下是否也能观察到传热恶化。其次,常规的恒定热通量条件可能会在通道壁上引起较大的温度波动。为了研究这两个问题,进行了超临界压力下的低温通道热流的RANS和DNS模拟。 RANS阐明,即使在低雷诺数流场下,也可以观察到传热恶化。 RANS与DNS之间的比较表明,DNS中的湍流通量大于RANS。大的热通量是由壁上的温度波动引起的,并且该波动是由于恒定的瞬时热通量条件引起的。该DNS结果表明,必须在恶化的传热流场的DNS中施加恒定的热通量壁条件而没有温度波动。

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