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A model for the residence time distribution of bubble-train flow in a square mini-channel based on direct numerical simulation results

机译:基于直接数值模拟结果的方形小通道内气泡运动的停留时间分布模型

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This paper presents an original method for evaluating the liquid phase residence time distribution in bubble-train flow using data from direct numerical simulations (DNS). The method is a particle method and relies on the uniform introduction of virtual particles in the volume occupied by the liquid phase within a single flow unit cell. The residence time distribution is obtained by statistical evaluation of the time needed by any particle to travel an axial distance equivalent to the length of the flow unit cell. Residence time curves are evaluated from DNS data of bubble-train flow in a square mini-channel for different lengths of the flow unit cell. The curves obtained are well fitted by an exponential relationship, which has been developed on basis of a two-tanks-in-series compartment model, where the first tank is a plug flow reactor and the second is a continuous stirred tank reactor.
机译:本文提出了一种使用直接数值模拟(DNS)数据评估气泡流中液相停留时间分布的原始方法。该方法是颗粒方法,并且依赖于在单个流动单位单元内液相占据的体积中虚拟颗粒的均匀引入。滞留时间分布是通过统计评估任何粒子沿轴向移动等于流动单位池长度所需的时间而获得的。对于不同长度的流动单元,从方形小通道中气泡火车流动的DNS数据评估停留时间曲线。所获得的曲线通过指数关系很好地拟合,该指数关系是基于串联的两槽式隔室模型开发的,其中第一个釜是活塞流反应器,第二个是连续搅拌釜反应器。

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