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Coupling CFD and Artificial Neural Networks for Predictive Optimization of Steam Methane Reforming Process

Abdelhakim Settar et al.
HAL (France) · Papers
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This study develops an integrated computational fluid dynamics‐artificial neural network (CFD‐ANN) framework to optimize hydrogen production via steam methane reforming (SMR) in a plate reactor. We first established a two‐dimensional CFD model using OpenFOAM to simulate transport phenomena and catal
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