Yes, twelve times! 10 minutes instead of 2 hours. To the artist this means that more iterations can be run in less time, making the work with fluids more intuitive and productive. And implementing this pipeline using the latest High Performance Computing technology to optimally exploit Memory Caches, Multi-Core CPUs and advanced vector instruction sets. This includes a careful selection of efficient numerical methods that provide high accuracy and stability throughout the simulation pipeline. That is why TurbulenceFD's simulation pipeline has been designed from the ground up to optimize performance. The biggest technological challenge in fluid simulation is the handling of the large amounts of data that a sequence of voxel grids requires. The flow then carries along these emissions in a physically plausbile way that creates the realistic look of fire, explosions, vapor, clouds, dust and much more. To setup a fluid simulation, the artist uses any type of geometric object or particle system to paint the sources of smoke, heat, fuel, etc. This simulation process produces a voxel grid for each frame, which is cached on disk for use by the Volumetric Renderer.

For each voxel TurbulenceFD calculates the velocity of the fluid as well as several channels to describe properties like temperature, smoke density, amount of fuel, etc.

That means it uses a voxel grid to describe the volumetric clouds of smoke and fire and solves the equations that describe the motion of fluid on that grid. Jawset TurbulenceFD's simulation pipeline implements a voxel-based solver based on the incompressible Navier Stokes equations.

Jawset turbulencefd for cinema 4d