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Plasma Spray Process On‐Line Control by Artificial Intelligence Methodology
Author(s) -
Kanta A.F.,
Montavon G.,
Planche M.P.,
Coddet C.
Publication year - 2007
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.200600215
Subject(s) - plasma , materials science , amplitude , jet (fluid) , parametric statistics , momentum (technical analysis) , particle (ecology) , mechanics , power (physics) , process (computing) , thermodynamics , physics , computer science , optics , mathematics , statistics , oceanography , finance , economics , geology , quantum mechanics , operating system
Parametric drifts and fluctuations occur during plasma spraying. These drifts and fluctuations originate especially from the electrode wear and intrinsic plasma jet instabilities: the plasma net power varies in this case modifying significantly its thermodynamic properties hence modifying the momentum and heat transfers to the particles. It is possible to control the in‐flight particle characteristics by adjusting continuously the operating parameters, in particular the power parameters. Due to the large amplitudes of these drifts and fluctuations, the strategy to adopt will depend on the required corrections to apply to the particle characteristics.