par Peerenboom, Kim 
;Parente, Alessandro ;Kozák, Thomas;Bogaerts, Annemie A M B A.;Degrez, Gérard
Référence Plasma sources science & technology, 24, 2
Publication Publié, 2015
;Parente, Alessandro ;Kozák, Thomas;Bogaerts, Annemie A M B A.;Degrez, Gérard Référence Plasma sources science & technology, 24, 2
Publication Publié, 2015
Article révisé par les pairs
| Résumé : | The chemical complexity of non-equilibrium plasmas poses a challenge for plasma modeling because of the computational load. This paper presents a dimension reduction method for such chemically complex plasmas based on principal component analysis (PCA). PCA is used to identify a low-dimensional manifold in chemical state space that is described by a small number of parameters: the principal components. Reduction is obtained since continuity equations only need to be solved for these principal components and not for all the species. Application of the presented method to a CO2 plasma model including state-to-state vibrational kinetics of CO2 and CO demonstrates the potential of the PCA method for dimension reduction. A manifold described by only two principal components is able to predict the CO2 to CO conversion at varying ionization degrees very accurately. |
