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Prediction of the pressure drop for CuO/(Ethylene glycol-water) nanofluid flows in the car radiator by means of Artificial Neural Networks analysis integrated with genetic algorithm

Mohammad Hossein Ahmadi, Mahyar Ghazvini, Heydar Maddah, Mostafa Kahani, Samira Pourfarhang, Amin Pourfarhang, Saeed Zeinali Heris

2020Physica A Statistical Mechanics and its Applications60 citationsDOI

Topics & Concepts

NanofluidPressure dropArtificial neural networkMaterials scienceRadiator (engine cooling)Genetic algorithmPerceptronEthylene glycolReynolds numberBiological systemAlgorithmMechanicsComputer scienceMechanical engineeringEngineeringArtificial intelligenceNanotechnologyMachine learningChemical engineeringTurbulencePhysicsNanoparticleBiologyNanofluid Flow and Heat TransferPower Transformer Diagnostics and InsulationHeat Transfer Mechanisms
Prediction of the pressure drop for CuO/(Ethylene glycol-water) nanofluid flows in the car radiator by means of Artificial Neural Networks analysis integrated with genetic algorithm | Litcius