Results 71 to 80 of about 3,071,655 (192)

Analysis of liquid steel flow in a multi-strand tundish using numerical methods

Metalurgija, 2015
The article presents the results of liquid steel flow and mixing in tundish when applying turbulence inhibitor to modernize the tundish working zone.
P. Warzecha, M. Warzecha, T. Merder
doaj  

Flow and transport simulation of Madeira River using three depth-averaged two-equation turbulence closure models

Water Science and Engineering, 2012
This paper describes a numerical simulation in the Amazon water system, aiming to develop a quasi-three-dimensional numerical tool for refined modeling of turbulent flow and passive transport of mass in natural waters.
Li-ren Yu
doaj   +1 more source

Turbulence: Numerical Analysis, Modeling, and Simulation

Fluids, 2018
The problem of accurate and reliable prediction of turbulent flows is a central and intractable challenge that crosses disciplinary boundaries. [...]
William Layton
doaj   +1 more source

Turbulence modeling for high speed compressible flows [PDF]

, 1990
Turbulence models are necessary in numerical simulations because of the impracticality of computing all scales of turbulent motion. Approximate methods, or turbulence models, are introduced to simplify and make the computations practical.
Chandra, Suresh
core  

Impact of Hall effect on energy decay in magnetohydrodynamic turbulence [PDF]

, 2003
We examine numerically the influence of Hall effect corrections to Ohm's law upon the decay of homogeneous compressible magnetohydrodynamic turbulence and conclude that there are no significant differences in global decay rate associated with the Hall ...
Dmitruk, Pablo, Matthaeus, William H., D. Smith, Oughton, Sean, Ghosh, S., S. Oughton, P. Dmitruk, W. H. Matthaeus, S. Ghosh, Smith, D.   +9 more
core   +1 more source

Effect of network architecture on physics-informed deep learning of the Reynolds-averaged turbulent flow field around cylinders without training data

Frontiers in Physics
Unsupervised physics-informed deep learning can be used to solve computational physics problems by training neural networks to satisfy the underlying equations and boundary conditions without labeled data.
Jan Hauke Harmening, Jan Hauke Harmening, Franz-Josef Peitzmann, Ould el Moctar   +3 more
doaj   +1 more source

RNG in turbulence and modeling of bypass transition [PDF]

, 1991
Two projects are considered: the Renormalization Group (RNG) analysis of turbulence modeling, and the calculation of bypass transition through turbulence modeling.
Yang, Zhigang
core  

Aerodynamic Performance and Numerical Validation Study of a Scaled-Down and Full-Scale Wind Turbine Models

Energies
Understanding the aerodynamic performance of scaled-down models is vital for providing crucial insights into wind energy optimization. In this study, the aerodynamic performance of a scaled-down model (12%) was investigated.
Zahid Mehmood, Zhenyu Wang, Xin Zhang, Guiying Shen   +3 more
doaj   +1 more source

Experience with turbulence interaction and turbulence-chemistry models at Fluent Inc. [PDF]

, 1995
This viewgraph presentation discusses (1) turbulence modeling: challenges in turbulence modeling, desirable attributes of turbulence models, turbulence models in FLUENT, and examples using FLUENT; and (2) combustion modeling: turbulence-chemistry ...
Kim, S. E., Missaghi, M., Tselepidakis, D. P., Choudhury, D.   +3 more
core  

Phenomenology of hydromagnetic turbulence in a uniformly expanding medium [PDF]

, 1996
A simple phenomenology is developed for the decay and transport of turbulence in a constant-speed, uniformly expanding medium. The fluctuations are assumed to be locally incompressible, and either of the hydrodynamic or non-Alfvénic magnetohydrodynamic ...
Matthaeus, William H., Oughton, Sean, Zank, Gary P.   +2 more
core   +1 more source