A new approach to model the fluid dynamics in sandwich packings

Author:

Franke Patrick1ORCID,Shabanilemraski Iman2,Schubert Markus23,Hampel Uwe3,Kenig Eugeny Y.1

Affiliation:

1. Paderborn University, Chair of Fluid Process Engineering , Pohlweg 55, 33098 Paderborn , Germany

2. Technical University Dresden, Institute of Power Engineering , 01069 Dresden , Germany

3. Helmholtz-Zentrum Dresden-Rossendorf, Institute of Fluid Dynamics , Bautzner Landstraße 400, 01328 Dresden , Germany

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.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Walter de Gruyter GmbH

Subject

Modeling and Simulation,General Chemical Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CPPM special issue in honor of Professor Faïçal Larachi;Chemical Product and Process Modeling;2024-04-01

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