SINGLE WOOD PARTICLE DRYING: A COMPARATIVE STUDY OF PHYSICS-BASED AND PHYSICS-INFORMED NEURAL OPERATOR MODELS
To support the optimized control for the modern drying system, this paper presents a physics-informed deep learning approach for simulating coupled heat and mass transfer during the drying of wood particles, a critical unit operation in modern biomass energy processing. Firstly, a physics-based reference model was deve...