Prediction of Nanofluid Temperature Inside the Cavity by Integration of Grid Partition Clustering Categorization of a Learning Structure with the Fuzzy System
Narjes Nabipour, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian
Abstract
, especially cavity nodes, which were absent in CFD simulations. The simulation findings indicated that there is a good agreement between CFD and clustering approach, while the total simulation time for learning and prediction is shorter than the time needed for calculation using the CFD method.
Topics & Concepts
Computational fluid dynamicsAdaptive neuro fuzzy inference systemCluster analysisComputer scienceArtificial intelligenceMechanicsFuzzy logicAlgorithmFuzzy control systemPhysicsNanofluid Flow and Heat TransferHeat Transfer and OptimizationLattice Boltzmann Simulation Studies