Experimental investigation of synthesized Al2O3 Ionanofluid's energy storage properties: Model-prediction using gene expression programming

In this work, 3-hydroxy-1-(4-(1-methyl piperidine-1-ium-1-yl) butyl) quinuclidine-1-ium bromide ionic liquid (IL) is synthesized. Al2O3 (similar to 50 nm) nanoparticles (NPs) were dispersed in the IL as base fluid to prepare Ion-anofluids (INF). The experiments were undertaken to determine the stability, viscosity (VST), and thermal conductivity (TC) of IL and INF in the temperature and concentration range of 30 to 60 degrees C and 0 to 10 wt%, respectively. The IL is characterized by nuclear magnetic resonance (NMR) spectroscopy. The pH and zeta po-tential values of INF are determined. The experimental outcomes show the maximum TC and VST enhancement of 32.9 and 76.3 % at 60 and 30 degrees C compared to IL. Additionally, the experimental data of TC and VST is compared with the theoretical models presented in the literature. The correlations are presented for the eval-uation of the TC and VST of the studied INF based on experimental data. Furthermore, the gene expression programming (GEP) model is adopted. The predicted values of TC and VST of INF are attained with R-2 = 0.9978 and 0.9972, respectively. The performance enhancement ratio (PER) indicates that studied INFs are beneficial for energy storage applications.

Automated summary

In this study, a new ionic liquid (IL) was synthesized and used to prepare ionanofluids (INF). The stability, viscosity, and thermal conductivity of IL and INF were experimentally determined. The results showed significant increases in thermal conductivity and viscosity of INF at high temperatures, and good agreement between the experimental data and theoretical models. Furthermore, a gene expression programming (GEP) model was able to accurately predict the performance of INF.