🚀 New in version PLASIMO-11.0 (compared to 10.1):

NEW FEATURES

  • New Chemistry Reduction Model
    • Reduces a (Global model) chemistry using the Directed Relational Graph with Error Propagation (DRGEP) algorithm.
    • Automatic mode, reduces a Global model chemistry based on specified species densities and/or temperature constraints.
  • New 5-Temperature model for CO2 laser mixtures
    • Calculates a set of Landau-Teller equations describing the time evolution of the energy stored in the three CO2 vibrational modes and the N2 vibrational mode.
    • Calculates the population inversion of a selected line from the vibrational temperatures of the modes.
    • Uses the built-in BOLSIG+ library to automatically calculate the fractions of the absorbed energy supplied to the five energy reservoirs.
  • New Amplifier model
    • A one-dimensional model describing the growth of a monochromatic beam propagating through a medium with an inverted population.
    • Calculates the gain of a two level system.
  • New 5T-Amplifier model
    • A one-dimensional model that self-consistently couples the 5-Temperature model with the Amplifier model.
    • The following model options are available:
      • Include vibrational and rotational relaxation.
      • Include gas cooling.
      • Amplify multiple pulses with different wavelengths in the range of 10-12 um.
      • Specify forward- and/or backward-propagating beams with different time schedules.
      • Keep the gas temperature constant in time.
      • Introduce additional transmission loss elements into the amplifying medium. Loss elements can be specified independently for each pulse.
      • Specify a user-defined input power density as a function of time.
      • Calculate the output power when the beam spot size is provided.
      • Specify the pulse shape entering the active medium.
  • Drift-Diffusion model
    • Add functionality to calculate small-signal gain for user-specified levels in the mixture. The module calculates the local intensity and local gain.
    • Support Flow sub-module of type Fixed.
    • Add a new potential type ShortTransmissionLineCurrentSource, which models an external circuit with a current source connected to the electrode by a short transmission line.
    • Make output files, such as volume charge density, particle flux densities, and nodal and interface permittivity output files, optional. These output files are no longer stored by default and are generated only when requested by the user.
    • Wall processes can be named using an optional Name leaf. The user-defined name is displayed in the GUI model tree for easy navigation.
    • History data is specified in HistoryData sections, with the available types VolumeAveraged and VolumeIntegrated. Name and OutputFile leaves are supported for user-configurable output naming.
  • Particle Growth model
    • Add a chemistry analysis viewer for the coagulation reactions, including the nucleation species and dust particles.
  • Multi-dimensional lookup table for BOLSIG+
    • The BOLSIG+ EEDF plugin in the Global model and Drift Diffusion model can pre-calculate the internal lookup table for all species fractions, eliminating the need for BOLSIG+ recalculations during the model run.
  • New alternative way of defining structured grids
    • Introduce a new Geometry section of type Objects where all grid specifications are completely leaf-based. This way of defining the grid can generally be used for large grids, replacing large CellVector or CellMatrix sections, resolving precise small or complex features more easily, and facilitating parametric studies using parameterized runs.
    • The cell size and material assignment are based on overlapping regions. Control over the desired cell size replaces user-defined stretch functions in geometries of type Cells.
  • Add a boundary condition that accounts for heat deposition on the plasma-wall interfaces. Processes that can contribute to heat generation are cathode and anode falls, the Thomson effect, radiation, and convection.
  • Improve accuracy and performance on unstructured meshes
    • Advanced numerical methods and algorithms significantly increase the accuracy of models running on unstructured meshes.
    • Computational performance is improved by more than 30% in certain cases.

For any additional information, please send an email to info@plasma-matters.nl.