Examples of what you can produce with EnSight

Prometheus Engineers Improved Fire

“Communicating the results of CFD analysis is critical to a successful project and our business.  It can be difficult to explain to someone not familiar with CFD what they are looking at.  The ease with which we can change views, compare different cases side-by-side, and create animations in EnSight allows us to provide the necessary perspective to our customers for a more successful presentation.  Furthermore, the ability to use macros to format the data is invaluable for reviewing results quickly and efficiently.  ”  Emmanuella Sotiropoulou, Vice President, Engineering Prometheus Applied Technologies, LLC. Solver used was Converge from Convergent Science Inc.

Helicopter Rotor Force Distribution

EnSight post processing of rotor simulation. The image shown is combining the force distribution on the blades, along with the vorticity generated from the tip vortex of the blade. The lower surface is an elevated surface of mach. EnSight’s unique co-processing capability was used to generate this animation. In this mode, EnSight runs along with the solver to generate the post processing after each time step of the solver is completed. This greatly reduces the time to post process the results, as well as being able to remove the previous datasets, reducing disk space requirements from Tb to Mb. Solver used was OverFlow.

Comparing Vetter-Sturtevant Shocktube Experiments

The Vetter-Sturtevant shocktube experiments:
– Two gases, air and SF6, initially separated by a membrane inside a tube, are mixed by the passage of a strong shock through the interface between them.
– Used as a test of our continuous adaptive mesh refinement code RAGE.

How can you compare different 3D simulations of these experiments?

Use EnSight and Python to perform a dimensional reduction of the 3D simulation data:
-Use Python script with EnSight to place an integration plane at positions along the tube axis oriented perpendicular to the axis.
– At each position EnSight computes the mix parameter by integration over the plane and returns the result to Python.
– In this way a 1D plot of the mix parameter vs position is generated at each time.
– 3D mix is reduced to a plot of the1D mix parameter vs position that can be compared between simulations over time.
– EnSight is used to integrate the mix parameter along the axis and plot the result over time.
– Animate everything together on the same image to study the quantitative evolution of the shock induced mixing.

Simulation courtesy of F. Grinstein, LANL
1850×988, 12MB