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Comparison of eddy viscosity turbulence models and stereoscopic PIV measurements for a flow past rectangular-winglet pair vortex generator

Authors :
Thierry Lemenand
Serge Russeil
Mohammad Oneissi
Charbel Habchi
Daniel Bougeard
Notre Dame University-Louaize [Lebanon] (NDU)
Lebanese International University (LIU)
Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Nord Europe)
Institut Mines-Télécom [Paris] (IMT)
Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS)
Université d'Angers (UA)
Source :
Chemical Engineering and Processing: Process Intensification, Chemical Engineering and Processing: Process Intensification, Elsevier, 2021, 169, pp.108637. ⟨10.1016/j.cep.2021.108637⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

Vortex generators (VG) are widely used in enhancing the heat transfer coefficients in heat exchangers due to the development of longitudinal and transverse vortices. Therefore, understanding the development of these vortices has a high importance for the design and optimization of heat exchangers. When using numerical simulations, the choice of an appropriate turbulence model that can better predict the flow structure downstream a VG is fundamental. In the present study, three-dimensional numerical simulations, with two different commonly used eddy viscosity turbulence models, are performed for channel flow fitted with rectangular-winglet pairs (RWP) vortex generators. The numerical results are compared to experimental data obtained by stereoscopic particle image velocimetry (SPIV). The shear-stress transport (SST) κ-ω model and the re-normalization-group (RNG) κ-e model are used for modeling turbulence. Validation is conducted by comparing the flow structure topology and velocity field obtained from numerical simulations to those obtained using the SPIV method. It is found that the SST κ-ω model is better than the RNG κ-e turbulence model in predicting the flow characteristics downstream the RWP.

Details

Language :
English
ISSN :
02552701
Database :
OpenAIRE
Journal :
Chemical Engineering and Processing: Process Intensification, Chemical Engineering and Processing: Process Intensification, Elsevier, 2021, 169, pp.108637. ⟨10.1016/j.cep.2021.108637⟩
Accession number :
edsair.doi.dedup.....9a7e7add262c917edca406d6b6a10acc
Full Text :
https://doi.org/10.1016/j.cep.2021.108637⟩