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Machine learning based pressure drop estimation of evaporating R134a flow in micro-fin tubes: Investigation of the optimal dimensionless feature set

Keivan Ardam, Behzad Najafi, Andrea Lucchini, Fabio Rinaldi, Luigi Pietro Maria Colombo

2021International Journal of Refrigeration20 citationsDOI

Topics & Concepts

Pressure dropDimensionless quantityPipeline (software)Computer sciencePipeline transportTwo-phase flowFlow (mathematics)Artificial intelligenceMachine learningSimulationAlgorithmMechanicsMechanical engineeringEngineeringPhysicsProgramming languageHeat Transfer and Boiling StudiesHeat Transfer and OptimizationInnovative Microfluidic and Catalytic Techniques Innovation
Machine learning based pressure drop estimation of evaporating R134a flow in micro-fin tubes: Investigation of the optimal dimensionless feature set | Litcius