Communication Dans Un Congrès Année : 2023

TRF models for data generation

Résumé

In order to select the best performing model to simulate gasoline combustion, ignition delay times, burning velocities and species profiles were simulated against a wide range of experimental data from the literature for 12 different detailed TRF mechanisms. These data cover temperature, pressure, and equivalence ratio ranges from 298K to 2000K, 0.0065 to 60 atm and 0.25 to 2, respectively. The mechanisms were compared using their accuracy, stability, and computational time with the aim of generating data for a machine-learning algorithm.

Fichier principal
Vignette du fichier
ECM_Fages_VF.pdf (692.31 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-05245258 , version 1 (08-09-2025)

Licence

Identifiants

  • HAL Id : hal-05245258 , version 1

Citer

Timothée Fages, R Fournet, Baptiste Sirjean, Pierre-Alexandre Pierre-Alexandre Glaude. TRF models for data generation. 11th European Combustion Meeting 2023, CORIA UMR 6614; Groupement Français de Combustion, Apr 2023, Rouen, France. ⟨hal-05245258⟩
60 Consultations
135 Téléchargements

Partager

  • More