气泡
机械
阻力
泥浆
粒子(生态学)
阻力系数
双流体模型
跟踪(教育)
边界(拓扑)
体积分数
多相流
比例(比率)
物理
热力学
数学
地质学
数学分析
心理学
教育学
海洋学
量子力学
作者
M.W. Baltussen,L.J.H. Seelen,J.A.M. Kuipers,N.G. Deen
标识
DOI:10.1016/j.ces.2013.02.052
摘要
Gas–liquid–solid three phase flows are encountered in for example the Fischer–Tropsch process for the production of synthetic fuels in bubble slurry columns. To predict the hydrodynamics in large slurry bubble columns a multi-scale modeling approach can be used, which accounts for the large variation in time and length scales. In this paper, the smallest scale model has been developed using the Front Tracking model of Dijkhuizen et al. (2010b) and the Immersed Boundary model of Kriebitzsch (2011). In the Front Tracking model, each bubble is tracked separately. Furthermore, the Immersed Boundary method introduces the particle–fluid and the particle–particle (via a hard sphere model) interactions in the model. The resulting hybrid Front Tracking Immersed Boundary model is able to simulate dense three-phase flows and accounts for swarm effects in a fundamental manner. From our simulations we found that the relative drag coefficient of bubbles in three-phase flows seems to increase with increasing solids volume fraction. However, longer averaging periods are needed to derive a fully predictive correlation for the relative drag coefficient with respect to the solid volume fraction.
科研通智能强力驱动
Strongly Powered by AbleSci AI