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Computing Different Modes on Cathodes of DC Glow and High‐Pressure Arc Discharges: Time‐Dependent Versus Stationary Solvers
Author(s) -
Almeida Pedro G. C.,
Benilov Mikhail S.,
Cunha Mário D.,
Gomes José G. L.
Publication year - 2017
Publication title -
plasma processes and polymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.644
H-Index - 74
eISSN - 1612-8869
pISSN - 1612-8850
DOI - 10.1002/ppap.201600122
Subject(s) - solver , cathode , arc (geometry) , stability (learning theory) , mechanics , current (fluid) , work (physics) , statistical physics , glow discharge , simple (philosophy) , computational physics , plasma , physics , computer science , materials science , algorithm , chemistry , mathematics , thermodynamics , mathematical optimization , geometry , philosophy , epistemology , quantum mechanics , machine learning
Complex behavior can appear in the modeling of gas discharges even in apparently simple steady‐state situations. Time‐dependent solvers may fail to deliver essential information in such cases. One of such cases considered in this work is the 1D DC discharge. The other case is represented by multiple multidimensional solutions existing in the theory of DC discharges and describing modes of current transfer with different patterns of spots on the cathodes. It is shown that, although some of the solutions, including those describing beautiful self‐organized patterns, can be computed by means of a time‐dependent solver, in most examples results of time‐dependent modeling are at best incomplete. In most examples, numerical stability of the time‐dependent solver was not equivalent to physical stability.