Internal Flow Characteristics in a Prototype Spray Tower Based on CFD

To investigate the mechanisms by which inlet water velocity and rotational speed affect spray tower performance, computational fluid dynamics (CFD) was employed to analyze key performance indicators, including outlet flow velocity, flow rate, and the ratio of internal to external outlet flow rates. The results show that outlet flow rate is strongly positively correlated with rotational speed, while inlet water velocity demonstrates nonlinear effects on internal flow velocity. Significant parameter interaction exists—the correlation between inlet velocity and outlet velocity varies with rotational speed (R = −0.9831 to 0.5229), and the outlet flow rate ratio shows a strong negative correlation with rotational speed (R = −0.9918). The gray model demonstrated superior robustness with minimal error fluctuations, whereas the partial least squares regression model exhibited significantly increased errors under extreme conditions. This study provides a theoretical foundation and data support for spray tower parameter optimization.

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Publication Details

Journal
Processes
Published
2025-07-20
DOI
https://doi.org/10.3390/pr13072308
Primary Topic
Aerosol Filtration and Electrostatic Precipitation
Type
article
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article

Internal Flow Characteristics in a Prototype Spray Tower Based on CFD

Xiaowei Xu, Xin Ying Li, Yuliang Zhang, Hui‐Fan Huang
Processes
Aerosol Filtration and Electrostatic Precipitation
article

Internal Flow Characteristics in a Prototype Spray Tower Based on CFD

Xiaowei Xu, Xin Ying Li, Yuliang Zhang, Hui‐Fan Huang
article en

Abstract

To investigate the mechanisms by which inlet water velocity and rotational speed affect spray tower performance, computational fluid dynamics (CFD) was employed to analyze key performance indicators, including outlet flow velocity, flow rate, and the ratio of internal to external outlet flow rates. The results show that outlet flow rate is strongly positively correlated with rotational speed, while inlet water velocity demonstrates nonlinear effects on internal flow velocity. Significant parameter interaction exists—the correlation between inlet velocity and outlet velocity varies with rotational speed (R = −0.9831 to 0.5229), and the outlet flow rate ratio shows a strong negative correlation with rotational speed (R = −0.9918). The gray model demonstrated superior robustness with minimal error fluctuations, whereas the partial least squares regression model exhibited significantly increased errors under extreme conditions. This study provides a theoretical foundation and data support for spray tower parameter optimization.

ProcessesVol. 13(7)
Quzhou University (CN), Hunan University of Technology (CN)
Openalex Percentile: Top 84%
Aerosol Filtration and Electrostatic Precipitation
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