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Plasma Simulation Software

Our self-developed R&D software is being used to simulate very energetic gas flows at very low densities - which is exactly what all hardware-based technologies under development at SPARC Industries have in common.

Standard fluid simulation tools fail in reproducing physics accurately due to invalid assumptions. Those standard approaches are known as CFD (Computational Fluid Dynamics) solvers for electrically neutral flows (e.g. air, water, plasma) or MHD (Magnetohydrodynamic) solvers for plasmas or other flows containing a significant amount of charged particles. In all cases, the implemented algorithms are based on the assumptions that the particle energies are distributed in a well-known and pre-defined way. This assumption is valid in many cases where the density of the flow is sufficiently high, e.g. in air flows around cars and airplanes and many others. However, the lower the density and the more energy is in the gas, the more questionable becomes the aforementioned assumption such that, as for all technologies SPARC Industries is dealing with, another type of R&D software is required. Researching the availability of such tools it turned out that no available software suits our needs sufficiently well. In most cases the software tools were either

  • violating conservation laws (like PIC-MCC codes, but also explicit pure PIC codes w/o special extensions ) ,
  • modelling-wise overloaded and without any commercial standards (typical for academic codes developed by Universities with priorities defined in scientific projects),
  • bound to critical customs regulations (ITAR), or
  • open source but heavily constricted by a large structural heritage.

Successfull Two-Stream-Instability Simulation in 3D

Having more than 10 years of experience in developing the required types of plasma simulation tools, we decided to develop our own software. From the very beginning, the code requirements were defined …

  • to serve our internal R&D needs (e.g. realized by being fullly independent of all energy distribution functions in all degrees of freedom),
  • to avoid standard problems induced by using grids (realized by being grid-free in all solvers), and
  • to be ready for the future challanges (e.g. being able to easily resolve relative motion between macroscopic objects which are surrounded by plasma).

If you would like to learn more, let us know: d.petkow@sparc-industries.com

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