Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114405
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Title: A new one-equation turbulence model based on the combined standard k-ε and k-ω turbulence models for benchmark flow configurations
Authors: Wang, F 
Chan, TL 
Issue Date: 2022
Source: Proceedings of the 7th World Congress on Momentum, Heat and Mass Transfer (MHMT'22), April 07 - 09, 2022, Virtual Conference, 145, p. 145-1 - 145-8
Abstract: A new one-equation turbulence model based on the two-equation standard k-ε and Wilcox's k-ω turbulence models is proposed and developed for validating the benchmark flow configurations. The desirable features of both these two-equation turbulence models are combined into the new one-equation turbulence model in the complete form without neglecting the third-order velocity gradient term than simply assuming that equal coefficients in the diffusion terms. This new one-equation turbulence model is used to simulate for different benchmark flow configurations including the flow over a flat plate at zero pressure gradient, the bump-in-channel flow, the backward facing step flow and the NASA wall-mounted hump separated flow. The numerical results are fully validated and compared with the results of the experimental dataset, the one- and two-equation turbulence models, and the high-accuracy NASA codes (i.e., CFL3D and FUN3D). The new one-equation turbulence model is proved to be more accurate when compared with the one-equation Wray-Agarwal and two-equation shear stress transport (SST) k-ω turbulence models for the benchmark flow configurations.
Keywords: Benchmark flows
CFD
One- and two-equation turbulence models
Third-order velocity gradients
Turbulence modelling
Publisher: Avestia Publishing
ISBN: 978-1-990800-00-9
DOI: 10.11159/icmfht22.145
Rights: Posted with permission of the author.
The following publication Wang, F., & Chan, T. L. (2022). A New One-equation Turbulence Model based on the Combined Standard k-ε and k-ω Turbulence Models for Benchmark Flow Configurations, 145 is available at https://avestia.com/MHMT2022_Proceedings/files/paper/ICMFHT/ICMFHT_145.pdf.
Appears in Collections:Conference Paper

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