Litcius/Paper detail

Utilizing machine learning algorithms for prediction of the rheological behavior of ZnO (50%)-MWCNTs (50%)/ Ethylene glycol (20%)-water (80%) nano-refrigerant

Xiedong Song, Mohammadreza Baghoolizadeh, As’ad Alizadeh, Dheyaa J. Jasim, Ali Basem, Abbas J. Sultan, Soheil Salahshour, Mostafa Piromradian

2024International Communications in Heat and Mass Transfer15 citationsDOI

Topics & Concepts

Ethylene glycolRefrigerantMaterials scienceRheologyNano-Chemical engineeringComposite materialAlgorithmComputer scienceThermodynamicsHeat exchangerPhysicsEngineeringPhase Equilibria and ThermodynamicsNanofluid Flow and Heat TransferAdsorption and Cooling Systems