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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Barium sulfate precipitation in jet reactors: Large eddy simulations, kinetics study and design considerations
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Barium sulfate precipitation in jet reactors: Large eddy simulations, kinetics study and design considerations

机译:喷气反应器中硫酸钡沉淀:大涡模拟,动力学研究和设计考虑

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The paper presents an application of large eddy simulations (LES) to predict the course of barium sulfate precipitation carried out in jet reactors and basic guidelines for a reactor design. The reactors in question were of different geometries and made in different sizes in order to achieve high mixing intensities and low residence times in a mixing chamber, thus enabling to reflect and understand the effects of process conditions and influence of mixing on the course of precipitation better. The system's behavior is explained using experimental and simulation results. Simulations were validated by comparing LES model predictions with experimental data, as well as the k-epsilon model supplemented with the multiple-timescale mixing model. The BaSO4 precipitation results obtained with a CFD based precipitation model are in a very good agreement with experiments and are used to distinguish the jet reactors that allow obtaining a product with favorable characteristics, i.e., the smallest mean particle size. In general, the smallest studied reactors are found to best meet this criterion. A special attention is given to precipitation kinetics models, the choice of which can significantly affect predictions' accuracy. Several literature precipitation kinetics models were tested and the ones working best in jet reactors were identified. Finally, a time-scale analysis of process controlling mechanisms is highlighted and the assumption of negligibility of the subgrid closure for precipitation in LES is validated. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
机译:本文介绍了大型涡流模拟(LES)的应用,以预测喷射反应器中硫酸钡沉淀的过程和反应器设计的基本准则。有问题的反应器是不同的几何形状,并以不同的尺寸制成,以便在混合室中实现高混合强度和低停留时间,从而能够更好地反映和理解加工条件的影响和混合在降水过程中的影响。使用实验和仿真结果来解释系统的行为。通过将LES模型预测与实验数据进行比较,以及补充多时间尺度混合模型的K-EPSILON模型来验证模拟。通过基于CFD的沉淀模型获得的BasO4降水结果与实验非常好,用于区分允许获得具有有利特性的产品的喷射反应器,即最小的平均粒度。通常,发现最小的研究反应堆最佳符合此标准。特别注意降水动力学模型,选择可以显着影响预测的准确性。测试了几种文献沉淀动力学模型,鉴定了最佳的射流反应器中最佳的沉淀动力学模型。最后,突出了对过程控制机制的时间尺度分析,验证了LES中沉淀的底底闭合的可忽略率的假设。 (c)2020化学工程师机构。 elsevier b.v出版。保留所有权利。

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