2023.1
Physics and theory for nanoFluidX.
Information about advanced solver features.
View new features for nanoFluidX 2023.1.
nanoFluidX is a software to simulate single and multi-phase flows based on the Lagrangian Particle Method Smoothed Particle Hydrodynamics (SPH).
Discover nanoFluidX functionality with interactive tutorials.
Create a nanoFluidX model using SimLab.
How to run a nanoFluidX model.
How to post-process nanoFluidX results using ParaView.
Guidance on modeling specific usecases with nanoFluidX.
nanoFluidX commands and parameters with examples.
Standard SPH interpolation heavily depends on the basic premise that each particle has the so called full support. Full support implies that the owner particles can see particles all around itself within the smoothing length of the particle, which mathematically implies that the sum of the kernel, also known as Shepard coefficient, is equal to one.
Keychain validator compares the keychains in the .cfg file with valid nanoFluidX keychains, when activated.
The operationMode option allows you to change the solver for either minimal run time or maximum accuracy.
The Riemann problem can be defined as a category of initial value problems that involve a conservation equation and a piecewise data set with a single discontinuity.
nanoFluidX options available in combination with the WEIGHTED and RIEMANN solvers.
Sub-phasing capability, while essentially optional, represents structural change inside nanoFluidX more than a classic feature.
Some main principles and consequences of the transport velocity.
Validation cases for the dynamic testing of nanoFluidX.
Performance benchmark results for nanoFluidX.
This glossary contains generic messages generated by nanoFluidX, their likely causes, and possible methods to resolve the related issues.
This section provides quick responses to typical and frequently asked questions regarding nanoFluidX.
References used throughout the nanoFluidX manual.
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