Journal ArticleDOI
Application of the energy-dissipation model of turbulence to the calculation of flow near a spinning disc
Brian Launder,B. I. Sharma +1 more
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This article is published in Letters in Heat and Mass Transfer.The article was published on 1974-11-01. It has received 2691 citations till now. The article focuses on the topics: K-omega turbulence model & K-epsilon turbulence model.read more
Citations
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Journal ArticleDOI
Turbulent flow investigation inside and outside plain-orifice atomizers with rounded orifice inlets
TL;DR: In this paper, the performance of three linear eddy viscosity models and one algebraic Reynolds stress model on the simulation of the internal and external flows in the plain-orifice atomizers with rounded orifice inlets are evaluated.
Proceedings ArticleDOI
Learning to Predict the Wind for Safe Aerial Vehicle Planning
Florian Achermann,Nicholas R. J. Lawrance,Rene Ranftl,Alexey Dosovitskiy,Jen Jen Chung,Roland Siegwart +5 more
TL;DR: This paper presents an approach for predicting high-resolution wind fields based on a terrain elevation model and known inflow conditions and uses a deep convolutional neural network (CNN) to generate 3D wind estimates with lower prediction error than existing methods.
Journal ArticleDOI
A simplified v2–f model for near‐wall turbulence
Mizanur Rahman,Timo Siikonen +1 more
Abstract: A simplified version of the v2–f model is proposed that accounts for the distinct effects of low-Reynolds number and near-wall turbulence. It incorporates modified Ce(1,2) coefficients to amplify the level of dissipation in non-equilibrium flow regions, thus reducing the kinetic energy and length scale magnitudes to improve prediction of adverse pressure gradient flows, involving flow separation and reattachment. Unlike the conventional v2–f, it requires one additional equation (i.e. the elliptic equation for the elliptic relaxation parameter fµ) to be solved in conjunction with the k–e model. The scaling is evaluated from k in collaboration with an anisotropic coefficient Cv and fµ. Consequently, the model needs no boundary condition on and avoids free stream sensitivity. The model is validated against a few flow cases, yielding predictions in good agreement with the direct numerical simulation (DNS) and experimental data. Copyright © 2007 John Wiley & Sons, Ltd.
Efficient uncertainty quantification in computational fluid dynamics
TL;DR: In this article, the Probabilistic Collocation method was developed as an efficient non-intrusive uncertainty propagation method for computational fluid dynamics (CFD) simulations, which can have a significant impact on the computed aerodynamic performance.
References
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Journal ArticleDOI
The prediction of laminarization with a two-equation model of turbulence
W.P. Jones,Brian Launder +1 more
TL;DR: In this article, the local turbulent viscosity is determined from the solution of transport equations for the turbulence kinetic energy and the energy dissipation rate, and the predicted hydrodynamic and heat-transfer development of the boundary layers is in close agreement with the measured behaviour.
Journal ArticleDOI
The calculation of low-Reynolds-number phenomena with a two-equation model of turbulence
W.P. Jones,Brian Launder +1 more
TL;DR: In this article, the authors present numerical predictions of various turbulent shear flows in which the structure of the viscous sublayer exerts appreciable influence on the flow, where the turbulence energy and its dissipation rate are calculated by way of transport equations which are solved simultaneously with the conservation equations for the mean flow.
Journal ArticleDOI
Heat and mass transfer from rotating cones
C. L. Tien,D. T. Campbell +1 more
TL;DR: In this article, heat transfer by convection from isothermal rotating cones is investigated experimentally by measuring the sublimation rate from naphthalene-coated cones and using the analogy between heat and mass transfer.