化工学报2016，Vol.5Issue(5)：1694-1700,7.DOI:10.11949/j.issn.0438-1157.20151476
基于均龄理论高效计算萃取塔轴向混合分布
Efficient estimation of axial mixing distribution for extraction in rotating disc contactor based on simulation using mean age theory
摘要
Abstract
In this study, on basis of verification of single-phase flow field simulation by computational fluid dynamics (CFD), the mean age theory was employed to estimate axial mixing distribution in a pilot-scale rotating disc contactor (RDC). In order to validate the mean age theory, two results of theoretical mean residence time and the simulated values by species transport model were compared. It showed that the mean age theory is capable to relatively accurately predict the axial mixing distribution in RDC within ten seconds of computional time, far shorter than two weeks by traditional species transport model, hence possesses the advantage of low computational cost. Moreover, the mean age theory is also capable to provide the spatial distribution information of axial mixing distribution, while the traditional species transport model does not. Hence, the mean age theory can provide more information for structural optimization, and is an efficient method to calculate the axial mixing distribution for extraction. Subsequent analysis on hydrodynamics in RDC showed that it is appropriately mixed flow in compartments and plug flow between compartments, which is favorable for extraction operation. Compared with the well mixing between rotors, the flow field between stators has apparent dead flow zones, which are mainly attributed to two factors of low flow velocity and cyclic vortex structure. The dead zones cause acertain flow non-idealities and are disadvantage for extraction efficiency. Hence, the structure of the stators in RDC needs to be further improved.关键词
萃取/转盘塔/计算流体力学/均龄理论/数值模拟/轴向混合Key words
extraction/rotating disc contactor/CFD/mean age theory/numerical simulation/axial mixing分类
化学化工引用本文复制引用
陈杭,孙泽,宋兴福,于建国..基于均龄理论高效计算萃取塔轴向混合分布[J].化工学报,2016,5(5):1694-1700,7.基金项目
国家自然科学基金项目(21206038).supported by the National Natural Science Foundation of China (21206038). （21206038）
