作者: M.W. Baltussen , L.J.H. Seelen , J.A.M. Kuipers , N.G. Deen
DOI: 10.1016/J.CES.2013.02.052
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摘要: Abstract Gas–liquid–solid three phase flows are encountered in for example the Fischer–Tropsch process production of synthetic fuels bubble slurry columns. To predict hydrodynamics large columns a multi-scale modeling approach can be used, which accounts variation time and length scales. In this paper, smallest scale model has been developed using Front Tracking Dijkhuizen et al. (2010b) Immersed Boundary Kriebitzsch (2011) . model, each is tracked separately. Furthermore, method introduces particle–fluid particle–particle (via hard sphere model) interactions model. The resulting hybrid able to simulate dense three-phase swarm effects fundamental manner. From our simulations we found that relative drag coefficient bubbles seems increase with increasing solids volume fraction. However, longer averaging periods needed derive fully predictive correlation respect solid