Hamed Gholipour

Unveiling the potential of machine learning for heat transfer prediction and flow regime classification in falling film evaporation over plain horizontal tubes

Accurate characterization of the Heat Transfer Coefficient (HTC) and reliable identification of the prevailing flow regime constitute fundamental prerequisites for the rational design and optimization of falling film evaporators. Machine Learning (ML) methodologies offer a valuab...