par Özden, Aysu ;Procacci, Alberto ;Galassi, Riccardo Malpica;Contino, Francesco ;Parente, Alessandro
Référence Applied thermal engineering, 246, 122902
Publication Publié, 2024-06-01
Référence Applied thermal engineering, 246, 122902
Publication Publié, 2024-06-01
Article révisé par les pairs
Résumé : | This study introduces a framework for developing a multi-fidelity reduced order model (MF-ROM) of a combustion furnace operating under Moderate and Intense Low-oxygen Dilution (MILD) conditions. It integrates Proper Orthogonal Decomposition for data compression, Procrustes manifold alignment for fidelity transfer, and CoKriging for interpolation. Design parameters such as air injector diameter, fuel composition, and equivalence ratio were used to generate two- and three-dimensional simulations and build the MF-ROM. Additionally, the key question concerning the optimal number of high-fidelity simulations to balance accuracy and training cost is addressed when building the MF-ROM. Through incremental sampling strategies, it is demonstrated that around half of the training cost can be conserved while maintaining comparable error values. |