A new approach to model the fluid dynamics in sandwich packings

IF 1.3 Q4 ENGINEERING, CHEMICAL Chemical Product and Process Modeling Pub Date : 2023-09-20 DOI:10.1515/cppm-2023-0054
Patrick Franke, Iman Shabanilemraski, Markus Schubert, Uwe Hampel, Eugeny Y. Kenig
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Abstract

Abstract Sandwich packings represent new separation column internals, with a potential to intensify mass transfer. They comprise two conventional structured packings with different specific geometrical surface areas. In this work, the complex fluid dynamics in sandwich packings is modeled using a novel approach based on a one-dimensional, steady momentum balance of the liquid and gas phases. The interactions between the three present phases (gas, liquid, and solid) are considered by closures incorporated into the momentum balance. The formulation of these closures is derived from two fluid-dynamic analogies for the film and froth flow patterns. The adjustable parameters in the closures are regressed for the film flow using dry pressure drop measurements and liquid hold-up data in trickle flow conditions. For the froth flow, the tuning parameters are fitted to overall pressure drop measurements and local liquid hold-up data acquired from ultra-fast X-ray tomography (UFXCT). The model predicts liquid hold-up and pressure drop data with an average relative deviation of 16.4 % and 19 %, respectively. Compared to previous fluid dynamic models for sandwich packings, the number of adjustable parameters could be reduced while maintaining comparable accuracy.
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一种模拟夹层充填流体力学的新方法
摘要夹层填料是一种新的分离柱内部结构,具有加强传质的潜力。它们由两种具有不同几何表面积的传统结构填料组成。在这项工作中,采用一种基于液相和气相一维稳定动量平衡的新方法对夹层填料中的复杂流体动力学进行了建模。目前三相(气、液、固)之间的相互作用通过纳入动量平衡的闭包来考虑。这些闭包的公式来源于两种流体动力学类比,用于膜和泡沫流动模式。利用干压降测量和滴流条件下的液体保持率数据,对膜流中的可调参数进行了回归。对于泡沫流动,调整参数与从超快速x射线断层扫描(UFXCT)获得的总体压降测量和局部液持率数据相匹配。该模型预测的含液率和压降数据平均相对偏差分别为16.4%和19%。与之前的三明治填料流体动力学模型相比,可调参数的数量可以减少,同时保持相当的精度。
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
期刊介绍: Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.
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