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What is Hybrid FGM and ML for Diffusion Flame Simulation about?

This study investigates a hybrid model combining Flamelet Generated Manifold (FGM) and machine learning (ML) techniques for simulating n-dodecane counterflow diffusion flames. Four ML methods, including Artificial Neural Networks, Random Forest, and Gradient Boosted Trees, were compared in terms of performance, with a focus on improving the prediction of the progress variable source term through data preprocessing. The findings indicate that ensemble models like Random Forest and Gradient Boosted Trees demo

Author

albie072123

Language

EN