Experimental and CFD analysis of two-phase flow in a ceramic porous media under plasma-assisted wastewater treatment conditions
Year: 2025
Type: article
Abstract: This study investigates hydrodynamic parameters governing pollutant degradation in a low-temperature plasma (LTP) reactor utilizing porous alumina ceramic media. A validated 3D Volume of Fluid (VOF) model simulated air–water two-phase flow to resolve film thickness, wettability, wetting area, residence time, and liquid hold-up across varying flow rates. Experimental measurements confirmed the CFD predictions and showed that increasing the flow rate led to a sharp decline in degradation efficiency due to reduced residence time and increased film thickness. Notably, maximum degradation (~33.4 mg/L) occurred at intermediate flow conditions (Q ≈ 7.0 L/h, RT ≈ 6.1 s), whereas degradation stagnated at higher flow rates due to shortened treatment time and possible side reactions indicated by conductivity shifts. Kinetic analysis of the experimental data confirmed a zero-order degradation mechanism, with a strong linear correlation between residence time and indigo carmine removal (R² = 0.997). Regression and desirability-based optimisation identified 10.97 L/h as the ideal flowrate, balancing surface wetting and residence time for effective degradation (~31.2 mg/L). Sensitivity analysis confirmed that film thickness and residence time were the most influential factors. The study offers a quantitative framework for optimising LTP reactors by integrating CFD, experiments, and multi-criteria optimisation. • CFD–VOF model predicts flow and saturation in porous ceramics with high accuracy • Film thickness and residence time control plasma-assisted degradation efficiency • Maximum degradation of 33.4 mg/L observed at ~7 L/h and RT ≈ 6.1 s • Degradation follows zero-order kinetics with R² = 0.997 across flow conditions • Multi-criteria optimisation identifies 10.97 L/h as the optimal flowrate for LTP
Authors: Masoud Haghshenasfard, Stefan Schönekerl, Gisa Scale, Christel Pfefferkorn, Daniela Haase, Sarah Trepte, Hossein Mehdipour, André Lerch
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
OpenAlex ID: W4414398594
