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Assessment of different chemistry reduction methods based on principal component analysis Comparison of the MG-PCA and score-PCA approaches

Abstract : Two families of PCA based combustion model were recently developed score-PCA and MG-PCA. This paper presents the first comparative study of the two aftermentioned methods. Both methods are first benchmarked on 1-D laminar flames of hydrogen-air and syngas-air, to verify the consistency of the approaches. The sensitivity to differential diffusion is carefully addressed and a rotation technique is proposed, to allow for using score-PCA with differential diffusion. Then, 2-D flame-turbulence interactions are considered, spanning a wide range of velocity and length scale ratios, to demonstrate the ability of PC-based combustion models to efficiently capture the behavior of different combustion regimes, from flamelet-like flames to distributed reaction regimes. (C) 2016 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
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Submitted on : Saturday, December 7, 2019 - 3:10:46 PM
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Axel Coussement, Benjamin J. Isaac, Olivier Gicquel, Alessandro Parente. Assessment of different chemistry reduction methods based on principal component analysis Comparison of the MG-PCA and score-PCA approaches. Combustion and Flame, Elsevier, 2016, 168, pp.83-97. ⟨10.1016/j.combustflame.2016.03.021⟩. ⟨hal-02398438⟩

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