air

The dataset contains results of a unified one-dimensional model of an arc plasma in air, between copper electrodes, that includes the change of the gap distance. The occurance of multiple reversals of the electric field and the anode voltage drop is observed. The evolution of the spatial distribution of the electron and heavy particle temperatures with the gap distance and the opening speed is also studied. The model quantitatively predicts a number of plasma properties under conditions that are relevant to the contact separation in low-voltage switching devices.

The dataset contains the data presented in the paper introducing the FEDM (Finite Element Discharge Modelling) code. The FEDM code was developed using the open-source computing platform FEniCS (https://fenicsproject.org). Building on FEniCS, the FEDM code utilises the finite element method to solve partial differential equations. It extends FEniCS with features that allow the automated implementation and numerical solution of fully-coupled fluid-Poisson models, including an arbitrary number of particle balance equations.

The dataset includes all the input and output files for the paper: Comparison of six simulation codes for positive streamers in air (https://doi.org/10.1088/1361-6595/aad768). Three test cases for axisymmetric positive streamers are described in the paper. The codes are of the finite volume or the finite element type, and they use both explicit and implicit time stepping. The computational domain and initial conditions are kept simple, so other codes can be compared relatively easily to the data published here.