带液体注入的隔水管系统的三相 CFD-DEM 流体动力学研究

IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY ACS Chemical Neuroscience Pub Date : 2024-11-13 DOI:10.1016/j.cej.2024.157449
Juan Ramírez, Levi Peene, Maike Baltussen, Kay Buist, Johannes A.M. (Hans) Kuipers
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引用次数: 0

摘要

立管反应器经常被应用于加工工业中非常重要的催化过程。在这项工作中,针对带有液体注入的立管开发了一种计算流体动力学-离散元素法(CFD-DEM)。该模型将气体视为连续相,而液滴和催化剂颗粒则被视为离散元素。液滴的存在会导致颗粒潮湿,这一点可通过颗粒的覆盖模型加以考虑。此外,颗粒上的液体会改变碰撞行为,这将通过能量平衡方法加以考虑。这项 CFD-DEM 研究模拟的是实验室规模的伪 2D 立管。根据比较结果,假设颗粒完全覆盖会导致立管的固体滞留和聚类行为显著增加,尤其是在低液体流速时,会导致预测过高。部分覆盖模拟显示,只有一半的颗粒被覆盖,这对碰撞有很大影响。
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Three-phase CFD-DEM study on the hydrodynamics of a riser system with liquid injection
Riser reactors are frequently applied in the process industry for highly important catalytic processes. In this work, a computational fluid dynamics- discrete element method (CFD-DEM) for a riser with liquid injection was developed. This model treats the gas as a continuous phase whereas the liquid droplets and catalyst particles are treated as discrete elements. The presence of droplets causes particles to be wet, which is taken into account via coverage models of the particles. In addition, the liquid on the particles will change the collision behavior, which is included using an energy balance approach. This CFD-DEM study is conducted simulating a lab-scale pseudo-2D riser. Based on the comparison, the assumption of fully covered particles results in a significant increase in the solids holdup and clustering behavior of the riser which, especially at the low liquid flow rate, results in an over-prediction. The partial coverage simulations show that only half of the particles are covered, which has a major effect on the collisions.
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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍: ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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