Pressure Drop

Pressure drop, the reduction in fluid pressure during flow, is a critical parameter across diverse fields, with research focusing on accurate prediction and modeling for improved system design and safety. Current efforts utilize machine learning techniques, including hybrid deep learning models (like Bi-LSTM and Bi-GRU networks) and novel architectures such as correlated-informed neural networks, to enhance prediction accuracy and generalizability across various conditions, particularly in micro-channels and complex systems like ventilators. These advancements have significant implications for optimizing engineering designs in areas such as cryogenic heat exchangers and robotics, improving safety protocols in human-robot interaction, and enhancing the efficacy of medical devices like ventilators.