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Reduced-order kinetic plasma models using principal component analysis: model formulation and manifold sensitivity

par Bellemans, Aurélie ;Magin, Thierry E.;Coussement, Axel ;Parente, Alessandro
Référence Physical Review Fluids, 2, 7, 073201
Publication Publié, 2017

Article révisé par les pairs

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Résumé :

Plasma flows involve hundreds of species and thousands of reactions at different time scales, resulting in a very large set of governing equations to solve. Simulating large reacting systems in nonequilibrium plasma mixtures remains a challenge with the currently available computational resources. Principal component analysis (PCA) offers a general and rather simple and automated method to reduce large kinetic mechanisms by principal variable selection. This work shows how to adapt and apply the PCA-scores technique, which has its origin in the combustion field, to a collisional-radiative model. We have successfully applied this technique to argon plasmas, reducing the set of governing equations by more than 90%, leading to an important speed-up of the calculation and a reduction of computational cost.