Dataset on fuzzy logic based-modelling and optimization of thermophysical properties of nanofluid mixture.

ABSTRACT: This article presents the dataset generated during the process of enhancing the thermophysical properties of nanofluid mixture through fuzzy logic based-modelling and particle swarm optimization (PSO) algorithm. The details of fuzzy model and optimization phases were discussed in our work entitled "Fuzzy modeling and optimization for experimental thermophysical properties of water and ethylene glycol mixture for Al₂O₃ and TiO₂ based nanofluids" (Said et al., 2019). In (Said et al., 2019), the detail of the numerical data has not been clearly presented. However, in this article the inputs' data values for the density, viscosity, and thermal conductivity, used for training and testing of the fuzzy model, have been mentioned which is very essential if the mode

SUBMITTER: Said Z 

PROVIDER: S-EPMC6811955 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature