A novel comprehensive experimental study concerned Graphene Oxide nanoparticles dispersed in Water: Synthesise, characterisation, thermal conductivity measurement and present a new approach of RLSF neural network

In last decade, Graphene Oxide is widely used in flexible rechargeable battery electrode, Graphene oxide lens, energy conversion, and Hydrogen storage. In following research, preparation, thermal conductivity (TC) measurement, stability, and modeling studied for Graphene Oxide-Water nanofluid synthesised through Modified hummers method. Furthermore, X-ray diffraction analysis (XRD), dynamic light scattering analysis (DLS), Fourier transform infrared (FTIR), field emission scanning electron microscope plus energy dispersive X-ray analysis (FESEM-EDX) and transmission electron microscopy (TEM) tests were used to study Microstructural-observation, Phase and structural analysis of nanoparticles. Also, the nanofluid stability was investigated using the Ultraviolet–visible spectroscopy analysis (UV-Vis), Zeta-potential and differential scanning calorimetry plus thermo gravimetric analysis (DSC-TG) tests. Nanofluid TC measurement was done in temperature and mass fraction ranges of 25–50oC and 1.0–4.5mg/ml. Stability results showed that nanofluid stability is more than 3 months and also 1.0mg/ml nanofluid can work in applications with operational range up to 1000oC. Results indicated utmost thermal conductivity enhancement (TCE) of 25.27%, which was in 4.5mg/ml mass fraction at 50oC temperature. Although, new correlation including 1.01% utmost deviation in order to compute nanofluid’s TC, has been offered. Moreover, Recursive Least Squares Fuzzy model has been applied with R2=0.99. In the end, as reported by the results, it can be declared that GO nanoparticles synthesised by MH method, can be proposed as stable nanofluid with acceptable heat transfer potential in thermal systems.

Graphene Oxide; Thermal conductivity; Correlation; RLSF