MG-local-PCA Method for the Reduction of a Collisional-Radiative Argon Plasma Mechanism

Bellemans, André; Magin, Thierry; Coussement, Axel; Degrez, Gérard; Parente, Alessandro

doi:10.2514/6.2015-3105

Cited by 2 publications

(3 citation statements)

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“…Of course, many reports are published relevant to the electron temperature measurement of argon-based lowpressure discharge plasmas by the OES measurement assisted with the CR model [60]. Simplification of the Ar CR model is also discussed in terms of statistical mathematics like principal component analysis [61,62].…”

Section: Introductionmentioning

confidence: 99%

Optical Emission Spectroscopic (OES) analysis for diagnostics of electron density and temperature in non-equilibrium argon plasma based on collisional-radiative model

Akatsuka

2019

Advances in Physics: X

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This paper describes the use of Optical Emission Spectroscopy (OES) to measure electron densities and temperatures in nonequilibrium plasmas. The ways to interpret relative lineintensities of neutral argon atoms are evaluated based upon a collisional-radiative model including atomic collisional processes. A conversion from an excitation temperature determined from relative line intensities assuming a Boltzmann population distribution to the thermal electron temperature in the electron temperature range 1-4 eV and electron density range 10 10-10 12 cm-3 is given. Procedures to obtain electron temperature T e and density N e of non-equilibrium argon plasma by OES measurement with collisional radiative model.

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Section: Introductionmentioning

confidence: 99%

Optical Emission Spectroscopic (OES) analysis for diagnostics of electron density and temperature in non-equilibrium argon plasma based on collisional-radiative model

Akatsuka

2019

Advances in Physics: X

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“…Another method consists in relating the chosen principal components to variables expressed in the original space of mass fractions. This technique has lead to development of MG-PCA, which has already been discussed and applied to argon plasma in previous work by the authors [52].…”

Section: Principal Component Analysis For Chemistry Reductionmentioning

confidence: 99%

“…As a first attempt of applying the method to plasma flows, Peerenboom [51] has coupled PCA with non-linear regression to reduce the vibrational levels of CO 2 . More recently, PCA has successfully been applied on a collisional-radiative model for argon plasma to study non-equilibrium phenomena in shock relaxation calculations reducing the dimensionality of the system by 90 % [52,53]. PCA can be used as a tool to analyze the dynamics of a reacting system and to retrieve its main variables which can thereafter be used in a reduced model.…”

Section: Introductionmentioning

confidence: 99%

Principal component analysis acceleration of rovibrational coarse-grain models for internal energy excitation and dissociation

Bellemans

Parente

Magin

2018

The Journal of Chemical Physics

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The present work introduces a novel approach for obtaining reduced chemistry representations of large kinetic mechanisms in strong non-equilibrium conditions. The need for accurate reduced-order models arises from compression of large ab initio quantum chemistry databases for their use in fluid codes. The method presented in this paper builds on existing physics-based strategies and proposes a new approach based on the combination of a simple coarse grain model with Principal Component Analysis (PCA). The internal energy levels of the chemical species are regrouped in distinct energy groups with a uniform lumping technique. Following the philosophy of machine learning, PCA is applied on the training data provided by the coarse grain model to find an optimally reduced representation of the full kinetic mechanism. Compared to recently published complex lumping strategies, no expert judgment is required before the application of PCA. In this work, we will demonstrate the benefits of the combined approach, stressing its simplicity, reliability, and accuracy. The technique is demonstrated by reducing the complex quantum N(Σg+1)-N(Su4) database for studying molecular dissociation and excitation in strong non-equilibrium. Starting from detailed kinetics, an accurate reduced model is developed and used to study non-equilibrium properties of the N(Σg+1)-N(Su4) system in shock relaxation simulations.

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MG-local-PCA Method for the Reduction of a Collisional-Radiative Argon Plasma Mechanism

Cited by 2 publications

References 34 publications

Optical Emission Spectroscopic (OES) analysis for diagnostics of electron density and temperature in non-equilibrium argon plasma based on collisional-radiative model

Optical Emission Spectroscopic (OES) analysis for diagnostics of electron density and temperature in non-equilibrium argon plasma based on collisional-radiative model

Principal component analysis acceleration of rovibrational coarse-grain models for internal energy excitation and dissociation

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