New dynamic scale similarity based finite-rate combustion models for LES and a priori DNS assessment in non-premixed jet flames with high level of local extinction

A Shamooni, A Cuoci, T Faravelli, A Sadiki - Flow, Turbulence and …, 2020 - Springer
Flow, Turbulence and Combustion, 2020Springer
In this work, the performances of two recently developed finite-rate dynamic scale similarity
(SS) sub-grid scale (SGS) combustion models (named DB and DC) for non-premixed
turbulent combustion are a priori assessed based on three Direct Numerical Simulation
(DNS) databases. These numerical experiments feature temporally evolving syngas jet
flames with different Reynolds (Re) numbers (2510, 4487 and 9079), experiencing a high
level of local extinction. For comparison purposes, the predicting capability of these models …
Abstract
In this work, the performances of two recently developed finite-rate dynamic scale similarity (SS) sub-grid scale (SGS) combustion models (named DB and DC) for non-premixed turbulent combustion are a priori assessed based on three Direct Numerical Simulation (DNS) databases. These numerical experiments feature temporally evolving syngas jet flames with different Reynolds (Re) numbers (2510, 4487 and 9079), experiencing a high level of local extinction. For comparison purposes, the predicting capability of these models is compared with three classical non-dynamic SS models, namely the scale similarity resolved reaction rate model (SSRRRM or A), the scale similarity filtered reaction rate model (SSFRRM or B), and a SS model derived by the “test filtering” approach (C), as well as an existing dynamic version of SSRRRM (DA). Improvements in the prediction of heat release rates using a new dynamic model DC are observed in high Re flame case. By decreasing Re, dynamic procedures produce results roughly similar to their non-dynamic counterparts. In the lowest Re, the dynamic methods lead to higher errors.
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