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Street lamp CFD simulation Aerodynamic of a street lamp, CFD simulation (velocity field highlighted) - Courtesy of Erre Design

Catamaran sailboat simulation under waves Aeroelastic study on an airfoil - Collaboration with PhD Marco Berci, University of Leeds


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Aerodynamics

Aerodynamics numerical modeling is of course one of the first and biggest application field of history.

The software FLOW-3D can help you in simulating any flow regime, from subsonic till hypersonic regimes, starting from a 2D approach and growing in complexity until fully 3D turbulent approaches.
Users can easily import their geometry, and the meshing phase is greatly reduced through the use of the FAVORTM algorithm. The FAVOR is an immersive boundary approach, where the mesh is quickly drawn by creating boxes around complex shapes. No need to follow the contour of the solid obstacle, to mesh it.
The solver use a time-marching technique, that allows high accuracy and computational speed, especially when solving transient problems.

Simulation provides in output several quantities of interest for aerodynamicists:
    • pressure and velocity value in every cell location at every time-frame
    • drag and lift forces acting over solid objects (decomposed by pressure and shear)
    • torques acting over solid objects (decomposed by pressure and shear)
    • particle dynamics
    • streamlines seeding
    • vorticity and stagnation zones
    • local shear stress
    • rigid body motion dynamics

Additionally, users can introduce in the simulation multiple solid moving objects, with up to 6 DoF each, interacting each other and with the fluid through a collision model and full fluid-momentum equation coupling, making aeroelastic CFD.

In aerodynamics, it is often used to perform optimization over any simplified 2D model or panel method.
To search for very extremum performance in a very quick way, try the software IOSO Technology (by SigmaTechnology).
IOSO will work in loop with your modeling tools, using a new optimization "push-button" technology, that adopt a Self-Organization Strategy making use of up to 7 different well-known optimization methods (gradients, genetic, neural network, search region,...).



To know more:
IOSO
FLOW-3D

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