Litcius/Paper detail

Employing response surface methodology and neural network to accurately model thermal conductivity of TiO2–water nanofluid using experimental data

Mohammad Hemmat Esfe, Sayyid Majid Motallebi, Mehdi Bahiraei

2020Chinese Journal of Physics32 citationsDOI

Topics & Concepts

NanofluidThermal conductivityMaterials scienceResponse surface methodologyParticle (ecology)NanoparticleArtificial neural networkConductivityVolume fractionThermalParticle sizeThermodynamicsComposite materialNanotechnologyChemical engineeringMachine learningComputer scienceChemistryPhysicsPhysical chemistryGeologyEngineeringOceanographyNanofluid Flow and Heat TransferSolar Thermal and Photovoltaic SystemsHeat Transfer Mechanisms
Employing response surface methodology and neural network to accurately model thermal conductivity of TiO2–water nanofluid using experimental data | Litcius