Development and Evaluation of a Simplified CFD Model for a Swirl Diffuser with the Aid of 2D Particle Image Velocimetry

In numerical modeling of swirl diffusers, simplifying the diffuser geometry can substantially reduce simulation costs. This study describes the development and performance evaluation of simplified computational fluid dynamics (CFD) models of a swirl diffuser by using 2D particle image velocimetry (PIV). Two simplified models were created by replacing the diffuser with simple supply openings, where momentums were prescribed. The first model defined momentums solely based on geometric rules. In the second, it was demonstrated how the accuracy of the first, geometry-based model, can be improved by adjusting the momentums using results from a detailed CFD model. The effect of using the Reynolds stress model or the SST <i>k-ω</i> turbulence model on the accuracy of the CFD model and computation time was investigated. The simplified models were benchmarked against both the detailed CFD model and the PIV measurements. The corrected simplified geometry combined with the SST <i>k-ω</i> turbulence model achieved a favorable balance between reliability and computational efficiency. Although the two-dimensional nature of the PIV measurements presented challenges for three-dimensional CFD validation, they proved valuable for developing and assessing the simplified models.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-02-19
DOI
https://doi.org/10.1021/acsomega.5c12904
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Evaluation of a Simplified CFD Model for a Swirl Diffuser with the Aid of 2D Particle Image Velocimetry

Michal Krajčík, Ondřej Šikula, M. Kaan Arici, Pavel Zubík et al.
ACS Omega
Particle Dynamics in Fluid Flows
article

Development and Evaluation of a Simplified CFD Model for a Swirl Diffuser with the Aid of 2D Particle Image Velocimetry

Michal Krajčík, Ondřej Šikula, M. Kaan Arici, Pavel Zubík, Aliaksandra Mishuk
article en

Abstract

In numerical modeling of swirl diffusers, simplifying the diffuser geometry can substantially reduce simulation costs. This study describes the development and performance evaluation of simplified computational fluid dynamics (CFD) models of a swirl diffuser by using 2D particle image velocimetry (PIV). Two simplified models were created by replacing the diffuser with simple supply openings, where momentums were prescribed. The first model defined momentums solely based on geometric rules. In the second, it was demonstrated how the accuracy of the first, geometry-based model, can be improved by adjusting the momentums using results from a detailed CFD model. The effect of using the Reynolds stress model or the SST <i>k-ω</i> turbulence model on the accuracy of the CFD model and computation time was investigated. The simplified models were benchmarked against both the detailed CFD model and the PIV measurements. The corrected simplified geometry combined with the SST <i>k-ω</i> turbulence model achieved a favorable balance between reliability and computational efficiency. Although the two-dimensional nature of the PIV measurements presented challenges for three-dimensional CFD validation, they proved valuable for developing and assessing the simplified models.

ACS OmegaVol. 11(8)
Slovak University of Technology in Bratislava (SK), Slovak Academy of Sciences (SK), Institute of Construction and Architecture of the Slovak Academy of Sciences (SK), Faculty (United Kingdom) (GB), Kocaeli Üniversitesi (TR), Brno University of Technology (CZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Particle Dynamics in Fluid Flows
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.