Tabulation-based sample-partitioning adaptive reduced chemistry and cell agglomeration

Cuoci, Alberto, Nobili, A., Parente, A. and Grenga, Temistocle (2023) Tabulation-based sample-partitioning adaptive reduced chemistry and cell agglomeration. Andreini, Antonio, Commodo, Mario, De Falco, Gianluigi, De Paepe, Ward, Parente, Alessandro, Sorrentino, Giancarlo and Tregrossi, Antonio (eds.) In Proceedings of the 45th Joint Meeting of the Belgian and Italian Sections of the Combustion Institute. Associazione Sezione Italiana del Combustion Institute. pp. 267-273 .

Abstract

In this study, we combine the SPARC (Sample-Partitioning Adaptive Reduced Chemistry) and the Cell Agglomeration (CA) techniques, to accelerate the simulation of laminar and turbulent reactive flows with detailed kinetics.
More specifically, the reduced mechanisms adopted by SPARC are generated on the basis of representative thermochemical states corresponding to laminar, steady-state flamelets parametrized by the mixture fraction and a progress variable, similar to the TRAC (Tabulated Reactions for Adaptive Chemistry) method, recently proposed by Surapaneni and Mira (Comb. & Flame 251, 2023). To further speed-up the calculation, CA (consisting in grouping the computational cells having similar thermochemical states during the chemical step) is carried out before identifying the local reduced mechanism by SPARC.
To demonstrate the effectiveness of the approach, we considered two benchmark cases: i) a laminar, pulsating laminar coflow diffusion flame fueled by a mixture of C2H4 and N2 burning in air; ii) a 2D, turbulent, non-premixed flame burning n-C7H16 in air subject to decaying isotropic turbulence. In both cases, a detailed kinetic mechanism accounting for the formation of PAHs and soot particles and aggregates was considered. Preliminary numerical tests were conducted to investigate the feasibility of the proposed tabulation-based SPARC-CA methodology. The results are promising, showing both accuracy and computational efficiency, demonstrating the potential of the proposed methodology for advancing multi-dimensional CFD simulations of reactive flows with complex chemistry.

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Contributors

Author: Temistocle Grenga

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