Results 21 to 30 of about 50 (50)
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A Three Equation Curvature and Rotation Sensitive Variant of the SST K-Omega Turbulence Model
ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting: Volume 1, Symposia – Parts A, B, and C, 2010To date, eddy viscosity models are the most accepted and widely used RANS-based turbulence closures, attributable to their computational efficiency and relative robustness. One notable shortcoming of these models is their insensitivity to system rotation and streamline curvature.
D. Keith Walters, Tej P. Dhakal
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Volume 3B: Combustion, Fuels, and Emissions, 2023
Abstract For swirl-stabilized gas turbine combustors, turbulence modelling is generally undertaken using Scale-Resolved Simulations (SRS) methods such as Large Eddy Simulations (LES). However, LES is expensive due to large mesh sizes and small time-step size required to estimate the correct large-scale turbulence motion generated within ...
George Klavaris+5 more
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Abstract For swirl-stabilized gas turbine combustors, turbulence modelling is generally undertaken using Scale-Resolved Simulations (SRS) methods such as Large Eddy Simulations (LES). However, LES is expensive due to large mesh sizes and small time-step size required to estimate the correct large-scale turbulence motion generated within ...
George Klavaris+5 more
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The Anisotropic Hybrid k-$$\omega $$ SST/Stochastic Turbulence Model
2020This chapter focuses on a brief summary of the mathematical formulation of the anisotropic hybrid k-\(\omega \) Shear-Stress Transport (SST)/Stochastic Turbulence Model (STM) related to a new hypothesis on the Reynolds stress tensor (2.41) proposed in the first volume of this book [17]. The mathematical formulation of the anisotropic hybrid k-\(\omega \
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Four equation k-omega based turbulence model with algebraic flux for supercritical flows
Annals of Nuclear Energy, 2019Abstract Hydrocarbon and nuclear fuels will contribute substantially to the growing global energy portfolio for some time to come. At the same time atmospheric carbon levels and economic concerns are increasingly shaping the power generation environment. Supercritical fluid technologies are being investigated to address both concerns.
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ASME 2023 Gas Turbine India Conference, 2023
Abstract The paper outlines the CFD study carried out on the Highly Efficient Centrifugal Compressor (HECC) consisting of three blade rows which are an Impeller (main blade/splitter blade), a Diffuser (main/splitter vane) and a Deswirl.
Shivani Ranjan+3 more
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Abstract The paper outlines the CFD study carried out on the Highly Efficient Centrifugal Compressor (HECC) consisting of three blade rows which are an Impeller (main blade/splitter blade), a Diffuser (main/splitter vane) and a Deswirl.
Shivani Ranjan+3 more
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2019
In this investigation, qualitative comparisons with experimentally obtained PIV data from a scale-model wind tunnel facility are made with numerical solutions obtained using CFD for the Japan Bulk Carrier (JBC) geometry. Distributions of relevant quantities such as local velocity, local vorticity and local turbulence quantities at specific locations in
Sharkey, P. S., Menter, F. R.
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In this investigation, qualitative comparisons with experimentally obtained PIV data from a scale-model wind tunnel facility are made with numerical solutions obtained using CFD for the Japan Bulk Carrier (JBC) geometry. Distributions of relevant quantities such as local velocity, local vorticity and local turbulence quantities at specific locations in
Sharkey, P. S., Menter, F. R.
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Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, 2022
Abstract This paper presents a complete and general machine-learning assisted optimization framework for the Generalized k-ω (GEKO) turbulence model based on experimental measurements. The optimization framework is applied to the use case of a turbocharger radial compressor for three different operating conditions including design and ...
Patrick Amstad+2 more
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Abstract This paper presents a complete and general machine-learning assisted optimization framework for the Generalized k-ω (GEKO) turbulence model based on experimental measurements. The optimization framework is applied to the use case of a turbocharger radial compressor for three different operating conditions including design and ...
Patrick Amstad+2 more
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The k- $$\omega $$ ω Shear-Stress Transport (SST) Turbulence Model
2019This chapter focuses on the mathematical formulations of the turbulent kinetic energy k and specific dissipation rate \(\omega \) Shear-Stress Transport (SST) turbulence model proposed by Menter [3, 4] to provide a closure model to the Boussinesq-type counterparts of the new hypothesis on the anisotropic Reynolds stress tensor discussed in Chap. 5. The
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A new extension for k– turbulence models to account for wall roughness
International Journal of Heat and Fluid Flow, 2009Abstract This paper presents a new extension for k– ω turbulence models to account for surface roughness for transitionally and fully rough surfaces. It is based on the equivalent sand grain approach and accounts for theoretical considerations on the log-layer solution for fully rough surfaces.
Knopp, Tobias+2 more
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Volume 2: Fora, 2005
In this study, the influence of surface roughness in the prediction of the mean flow and turbulent properties of a high-speed supersonic (M = 2.9, Re/m = 2.0e7) turbulent boundary layer flow over a flat plate is performed using the k-ω and the stress-ω models.
Muhammad A. R. Sharif, Guanghong Guo
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In this study, the influence of surface roughness in the prediction of the mean flow and turbulent properties of a high-speed supersonic (M = 2.9, Re/m = 2.0e7) turbulent boundary layer flow over a flat plate is performed using the k-ω and the stress-ω models.
Muhammad A. R. Sharif, Guanghong Guo
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