Design of Fuzzy System Based on Look up Table for Modeling and Predicting Diffusional Mass Transfer in Nanofluids

In this study, a fuzzy inference system based on look up table was used for modeling and predicting the diffusion coefficient of benzoic acid in the water based γ-Alumina and Silica nanofluids. Due to evaluate the designed fuzzy system, Nanofluids Diffusion coefficients of benzoic acid at constant temperature of 20 ◦C were measured with using a simple and inexpensive technique. The results revealed that the designed fuzzy system could accurately mimic the diffusional mass transfer in nanofluids. The deviation between fuzzy model and experiments for γ-Alumina and Silica nanofluids were about 0.939 and 0.997, respectively. The measurements showed that nanoparticles at low concentration did not have a significant effect on benzoic acid diffusion in nanofluids relative to that in pure water. But diffusion in silica nanofluids strongly reduced at high concentration of nanoparticles, as in volume fraction of 0.8% diffusion coefficient decreased up to 35% relative to that in base fluid. Such factors as the type of tests to determine the diffusion coefficient in nanofluids, nanoparticles concentration and type, could strongly influence of diffusional mass transfer in nanofluids.