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NUMERICAL PREDICTION OF HIGHER SELF-PRESSURIZATION RATES IN A TYPICAL STORAGE VESSEL

机译:典型储存容器中较高自加速率的数值预测

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Self-pressurization, as a result of vaporization can occur in many scientific and technical applications like cryogenic storage tanks, pressurized water reactors etc. Predictions of both the pressurization and vaporization rates are vital in defining design requirements conforming to the tanks maximum working pressure and expected liquid losses. Predicting precisely the highly transient interface phenomenon due to mass transfer coupled with phase change due to evaporation is the major challenge encountered in modeling selfpressurization. The recent improvements of the multiphase flow modeling in the ANSYS FLUENT code make it now possible to simulate these mechanisms in detail without the need of user defined functions. The volume-of-fluid (VOF) method in conjunction with evaporationcondensation mass transfer model has been used here. In this paper we are extending the proven capability of VOF model for predicting higher selfpressurization rates due to phase change in storage vessels.
机译:由于蒸发的,因此在许多科学和技术应用中可能发生自加压,如低温储罐,加压水反应器等。加压和汽化率的预测对于定义符合罐的最大工作压力和预期的设计要求至关重要液体损失。预测由于蒸发引起的传质引起的高瞬态界面现象与相变,是在造型的自我简化中遇到的主要挑战。最近ansys中的多相流模型的改进流畅的代码现在可以在不需要用户定义的功能的情况下详细模拟这些机制。这里使用了与蒸发金属转移模型结合的流体体积(VOF)方法。在本文中,我们正在扩展VOF模型的经验证,以预测由于储存容器的相变由于相变而预测更高的自我入学率。

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