Advanced understanding of local wetting behaviour in gas-liquid-solid packed beds using CFD with a volume of fluid (VOF) method

流体体积法 润湿 计算流体力学 填充床 体积热力学 材料科学 机械 粒子(生态学) 流量(数学) 停留时间分布 毛细管作用 流体力学 化学 色谱法 热力学 复合材料 海洋学 物理 地质学
作者
Wei Du,Jianzhou Zhang,Panpan Lu,Jian Xu,Weisheng Wei,Guangxiang He,Lifeng Zhang
出处
期刊:Chemical Engineering Science [Elsevier]
卷期号:170: 378-392 被引量:26
标识
DOI:10.1016/j.ces.2017.02.033
摘要

Gas-liquid-solid packed bed reactors or trickle-bed reactors (TBRs) have been widely employed in various industrial applications such as hydrocracking, selective hydrogenation process of gas oil, wastewater treatment and so on. Since the multiphase flow in TBRs is complex, uniform liquid distribution can hardly be obtained. The liquid coverage on particles at various locations in the bed affects the overall reactor performance. In this work, computational fluid dynamics (CFD) simulations with a volume of fluid (VOF) model were employed to investigate liquid mal-distribution at the micro-level in a packed bed reactor. In this study, two different parameters (the local liquid coverage (HL) and local liquid holdup (hL)) were employed to describe liquid distribution on individual particles. The liquid distribution at different particle layers was investigated. The results revealed that the distributions for local liquid coverage and local liquid holdup were similar. The wetting efficiency and the liquid residence time decreased with increasing the voidage. In a packed bed with cylindrical particles, the capillary effect cannot be ignored in smaller channels formed between the particles, leading to higher flow resistance. It was also found that the wetting efficiency and liquid film thickness increased with an increase in the liquid velocity. Both wetting efficiency and the time required to reach steady state decreased when increasing the contact angle. The flow on particle surface could change from rivulet to film as the liquid density decreased. The newly unveiled information of local liquid holdup distribution could significantly advance the understanding of gas-liquid flow hysteresis inside packed beds, based on which the reactor performance can be further improved.
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