An insight derived from <scp>CFD</scp> investigation on the regulation of vortex flow in jet impact negative pressure reactors: <scp>VG</scp> baffle structure

Abstract The jet impact negative pressure reactor (JI‐NPR) is capable of achieving high efficiency and energy savings through continuous ammonia removal. A large number of multi‐scale vortex structures appear during the evolution of porous jet impingement under negative pressure conditions. The mixed model of mixture and the turbulence model of rsealizable k ‐ ε were used to simulate the flow field and vortex in the reactor. Firstly, the most suitable method to describe the multi‐scale vortex structure is determined. Next, the vortex core and other flow structures were modulated by configuring the spoiler elements. Specifically, the influence of parameters, including the quantity of spoiler elements (baffles), radial distances, and wing widths, on the turbulent flow field were investigated. Finally, the response surface method was used to construct the regression model equations for pressure drop and homogeneity. It is demonstrated that the Ω‐criterion offers a more accurate identification of the flow field inside the JI‐NPR. The baffle structure is conducive to reducing energy dissipation, destabilizing the flow field structure, and improving the interphase flow transfer efficiency. The relevant regression equations and optimal structural parameters are also determined. The present study can provide the foundation for the optimization of the geometry design of the JI‐NPR.

Authors

Institutions

Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2025-02-18
DOI
https://doi.org/10.1002/cjce.25649
Citations
2
Primary Topic
Plasma and Flow Control in Aerodynamics
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An insight derived from CFD investigation on the regulation of vortex flow in jet impact negative pressure reactors: VG baffle structure

Facheng Qiu, Guangzhou Yang, Xinjie Chai, Hao Zhang et al.
2 citations
The Canadian Journal of Chemical Engineering
Plasma and Flow Control in Aerodynamics
9.99
article

An insight derived from CFD investigation on the regulation of vortex flow in jet impact negative pressure reactors: VG baffle structure

Facheng Qiu, Guangzhou Yang, Xinjie Chai, Hao Zhang, Yingying Dong, Lingxing Hu
article en
2 citations

Abstract

Abstract The jet impact negative pressure reactor (JI‐NPR) is capable of achieving high efficiency and energy savings through continuous ammonia removal. A large number of multi‐scale vortex structures appear during the evolution of porous jet impingement under negative pressure conditions. The mixed model of mixture and the turbulence model of rsealizable k ‐ ε were used to simulate the flow field and vortex in the reactor. Firstly, the most suitable method to describe the multi‐scale vortex structure is determined. Next, the vortex core and other flow structures were modulated by configuring the spoiler elements. Specifically, the influence of parameters, including the quantity of spoiler elements (baffles), radial distances, and wing widths, on the turbulent flow field were investigated. Finally, the response surface method was used to construct the regression model equations for pressure drop and homogeneity. It is demonstrated that the Ω‐criterion offers a more accurate identification of the flow field inside the JI‐NPR. The baffle structure is conducive to reducing energy dissipation, destabilizing the flow field structure, and improving the interphase flow transfer efficiency. The relevant regression equations and optimal structural parameters are also determined. The present study can provide the foundation for the optimization of the geometry design of the JI‐NPR.

The Canadian Journal of Chemical EngineeringVol. 103(9)
Chongqing University (CN), Chongqing University of Science and Technology (CN), Jiangling Motors Corporation (China) (CN), Chongqing University of Technology (CN)
Natural Science Foundation of Chongqing
Affordable and clean energy
Openalex Percentile: Top 3%
Plasma and Flow Control in Aerodynamics
9.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.