Assessment of predictive capability of hybrid URANS/LES methods in residence time calculation. (29th June 2018)

• Record Type: Journal Article
• Authors: Mehdizadeh, A.; Doost, S.; Sadiki, A.; Janicka, J.; Karimi, N.
• Is Part Of: Chemical engineering science. Volume 183(2018)
• Page Start: 47
• Page End: 59
• Publication Date: 2018-06-29
• Subjects: Complex swirled flow -- Residence time characteristics -- Hybrid URANS/LES approach; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2018.02.035
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: Hybrid URANS/LES methodology has been applied for the first time to calculate the residence time characteristics. It was established that there is a direct interplay between flow field and residence time characteristics predictions. There is a need to improve the hybrid methods to make them a reliable tool to investigate full scale geometries. Abstract: The present study aims to assess capability of mostly used hybrid URANS/LES methods in dealing with a complex swirled configuration/reactor when the residence time characteristics need to be predicted at acceptable level of accuracy and fidelity. The configuration is quite complex and out of reach of the classical RANS turbulence models as it consists of different, partly swirled inlet channels and a large variety of time and length scales. In this work only the flow field is considered and is investigated using three different hybrid URANS/LES simulation methods. The models: the Scale Adaptive Simulation (SAS), the Improved Delayed Detached Eddy Simulation(SA-IDDES) and the k - ω - DES, use different triggering mechanisms and underlying RANS models. The results of the flow field, the residence time characteristics and all related quantities are compared with both the Large Eddy Simulation (LES) and experimental data reported in Doost et al. (2016). It turns out that none of the considered hybrid methods is able to predict the residence time characteristics as well as LES does mainly due to the inaccurate prediction of the flow field. It was found that there is a need to improve the hybrid approaches by addressing the shortcomings, particularly those regarding triggering mechanism to make hybrid approaches a reliable computational tool for study complex turbulent flows inside full scale configurations where LES can be prohibitively expensive.