YALES2 Gallery

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Combustion

PRECCINSTA Burner (Vincent Moureau)

Direct Numerical Simulation of an aeronautical burner [1]. The mesh features 2.6 billion tetrahedrons and a resolution of 100 microns.

PRECCINSTA burner with YALES2
Iso-surface of the Q criterion for the isothermal case
Temperature field for the fully premixed reacting case
OH radical field for the fully premixed reacting case
Couverture du Numéro Spécial Calcul Intensif des Comptes Rendus de Mécanique de l'académie des sciences

KIAI burner (Vincent Moureau)

Large-Eddy Simulations of a swirl burner designed and operated at CORIA (J.P. Frenillot, G. Cabot, B. Renou, M. Boukhalfa).

KIAI burner with YALES2
Velocity field for the cold flow - 382M tetrahedrons
Q-criterion for the cold flow - 382M tetrahedrons

Stratified combustion (Catherine Gruselle, Vincent Moureau and Ghislain Lartigue)

Large-Eddy Simulation and Direct Numerical Simulation of flame kernel development in a stratified propane/air mixture. The turbulent simulation (left movie) reproduces the experimental measurements of Balusamy S., Lecordier B. and Cessou A. from CORIA.

Stratified combustion with YALES2

Aerodynamics

Formula One (David Taieb, Guillaume Ribert & Vincent Moureau)

Computation of a Formula 1 meeting with the 2010 regulations.

The design is based on the 2008 car which was simulated with the Fluent software with less than one million cells. The new car has the main features observed during the early part of F1 season, like the coca bottle shaped sidepods, the double-deck diffuser, the outer mirror disposition (forbidden by the FIA in the second part of the season), the three elements front wing.

The body of the car is discretized with 6.5mm element leading to 36 M cells in the computational domain.

Formula One with YALES2
Formula 1 with 36 Million cells - Streamlines
Formula 1 with 36 Million cells - Iso-Q criterion

Interaction between two Le Mans Series prototypes (David Taieb, Guillaume Ribert & Vincent Moureau)

Interaction between two Le Mans Series prototypes with YALES2
Instantaneous streamlines colored by velocity RMS.
centerContour of pressure on the upper bodywork.
Streamlines of averaged velocity colored by velocity RMS.
Longitudinal slice of instantaneous velocity and downforce on bodies.

Heat transfers

T7.2 Blade (Nicolas Maheu)

Large-Eddy Simulation of heat exchanges on a turbine blade.

T7.2 blade with YALES2
T7.2 Blade - Iso-Q criterion - 240M tetrahedrons
T7.2 Blade - Iso-T 325K - 240M tetrahedrons

Two-phase flows

Triple disk injector (Vincent Moureau)

Computation of a Triple Disk injector (Grout et al 2007). The densities and viscosities are those of water and air at atmospheric pressure and temperature. The video on the left was performed with 203 million tets and the one on the right with 1.6 billion tets with a resolution of 2.5 microns.

Primary atomization with YALES2

Pouring flow (Vincent Moureau and Olivier Desjardins)

Sample computation of a 2D two-phase flow with realistic properties for air and water to highlight the robustness of the method developed by Desjardins and Moureau at the 2010 CTR Summer Program.

Primary atomization with YALES2

Splashing (Vincent Moureau)

2D computation with YALES2 of a Lagrangian spray splashing on a wall and forming a film modeled with a level set and the Ghost Fluid Method. The grey particles and the grey film have the properties of water and the color represents the velocity magnitude in the gas. The Lagrangian particle are one-way coupled to the gas through drag for sake of simplicity.

Wall splashing with YALES2

Lagrangian simulation of the MERCATO burner (Lola Guedot)

Bio-mechanics from I3M lab in Montpellier

Simulation of a cardiac cycle (Christophe Chnafa, Simon Mendez, Franck Nicoud)

Cardiac cycle with YALES2

3D computation of a cardiac cycle with the Arbitrary-Lagrangian Eulerian solver of YALES2. This solver and the calculations were done in the I3M lab of the University of Montpellier by C. Chnafa, S. Mendez and F. Nicoud. The color in the movie represents the vorticity.

The grid on which the fluid problem is computed is extracted from 4D (3D + time) medical images from a patient. Ten 3D images are taken from different times during the heart cycle. A grid is extracted from one medical image using a segmentation protocol. Then, grid deformations are computed from the combination of an image registration algorithm and of interpolations process. Hence, boundary movements are extracted from medical images and applied as boundary conditions for the fluid problem, resulting in a patient-specific computation. The spatial resolution is imposed to be close to 0.8 mm in all three spatial directions along the cycle, which yields grids of approximately three-million tetrahedral elements. Valves are modelled by immersed boundaries, and the heart is handled by a conformal mesh.

Advanced numerics

Immersed boundaries on unstructured grids (Vincent Moureau)

On the left, 2D computation with YALES2 of the flow around two moving cylinders with an immersed boundary technique implemented for unstructured grids. The color represents the velocity magnitude. On the right, simulation of a stirred-tank reactor with YALES2. The mesh consists of 31 million tetrahedra. Simulation performed by V. Moureau from CORIA and N. Perret from Rhodia-Solvay.

Immersed boundaries with YALES2

Mesh deformation (Vincent Moureau)

Demonstration of 2D mesh deformation with YALES2. Only the velocity of boundaries is prescribed and the movement of the nodes is found by inverting an elliptic system. Edge swapping is also activated in this example.

Mesh deformation with YALES2