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Predictions of undesirable air-sand flow behaviors in a dual fluidized bed cold flow system via a CFD full-loop model

机译:通过CFD全环模型预测双流化床冷流系统中的不期望的空气砂流动

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A two-dimensional computational fluid dynamics (CFD) multiphase flow model based on a laboratory-scale dual fluidized bed cold flow system has been developed to study the unsteady flow characteristics in that system. Different sizes of silica sand as multiple solid phases were simulated to thoroughly describe the actual sand flow, and hence enhance the accuracy of the simulation results. The fluidizing air velocity and sand bed height in the riser were found to have strong influences on the results of solid volume fraction, system pressure, and sand circulation rate. It was noteworthy that when the initial sand height and air inlet velocity in the riser were increased over their critical values, an undesirable reverse flow could occur in the system, causing pressure imbalance and unstable system operation. Therefore, the saturated carrying ability of the fluidizing air should be carefully considered to prevent those unexpected phenomena. The proposed CFD model could provide valuable predictions and insights into the sand flow behaviors for the optimization of the design and operation of practical systems. (C) 2019 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:已经开发了一种基于实验室级双流化床冷流系统的二维计算流体动力学(CFD)多相流动模型,以研究该系统中的不稳定流动特性。模拟不同尺寸的二氧化硅砂作为多个固相来彻底描述实际的砂流,因此提高了模拟结果的准确性。发现提升管中的流化空气速度和砂床高度对固体体积分数,系统压力和砂循环速率的结果产生强烈影响。值得注意的是,当提升器中的初始砂高度和空气入口速度在其临界值上增加时,在系统中可能发生不希望的反向流动,导致压力不平衡和不稳定的系统操作。因此,应仔细考虑流化空气的饱和承载能力以防止这些意外的现象。拟议的CFD模型可以为砂流行为提供有价值的预测和见解,以优化实用系统的设计和操作。 (c)2019年台湾化工工程师研究所。 elsevier b.v出版。保留所有权利。

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