nanoFluidX is a particle-based fluid dynamics simulation tool to predict the flow in complex geometries with complex motion.
nanoFluidX can be used to predict, for example, the oiling in powertrain systems with rotating shafts/gears and analyze forces and torques on individual components of the system or predict the sloshing in tanks with transient motions. Utilizing the GPU technology empowers high performance simulations of real geometries.
The particle-based nature of the nanoFluidX code allows for an elegant and efficient approach to flows which undergo high deformation during the simulation, such as sloshing, violent multiphase flows or rapid movement through complex geometry.
General free-surface flows
Simulate sloshing of oil in the powertrain systems, free flowing fluids in an open environment, open or closed tanks under high accelerations and similar phenomena.
High-density ratio multiphase flows
The Smooth Particle Hydrodynamics (SPH) method of nanoFluidX allows for easy treatment of high-density ratio multiphase flows (e.g. water-air) without additional computational effort. The fluid interfaces are a natural by-product of the SPH method and no additional interface reconstruction is required, therefore saving computational time.
Rotating gears, crankshafts and connecting rods
nanoFluidX has implemented options for prescribing different types of motion, therefore simulating rotating gears, crankshafts and connecting rods comes easy. Measure forces and torques experienced by the solid elements as they interact with the surrounding fluid.
Measure forces experienced by the tank or a vehicle during drastic acceleration, e.g. braking or sudden lane change.
FluiDyna GmbH is an Nvidia Preferred Solution Provider, allowing the nanoFluidX team a competitive edge in terms of code optimization and performance. GPU computing provides a significant performance advantage and power savings with respect to their more cumbersome CPU counterparts.
For a moderate size case (300.000 particles), with the following hardware specifications: 96 CPU cores, 8 nodes, dual socket, 6-core CPUs Vs. 4 Nvidia K40 GPUs, you get around 33% savings in hardware cost, 63% faster runtime and 74% less used energy!*
Mesh in a classic sense is not needed. Import the geometry, select the element and generate the particles. No more hours of pre-processing and devising a good-enough mesh.
Rigid body motion
Besides the rotational motion, the nanoFluidX code allows for element trajectories prescribed by an input file. Study the interaction of an arbitrary translationally moving solid and the surrounding fluid.
*The quoted numbers are case and configuration dependent.
nanoFluidX is ideal for the following industrial applications: