TY - JOUR
TI - Study of a novel ternary second-order viscosity model on Al2O3-water nanofluid
AU - Huang Hongyan
AU - Li Chunquan
AU - Huang Siyuan
AU - Shang Yuling
AU - Wang Qiao
JN - Thermal Science
PY - 2023
VL - 27
IS - 5
SP - 4223
EP - 4234
PT - Article
AB - In terms of heat dissipation, nanofluids with strong thermal conductivity are  becoming more and more common, attracting more and more research and  attention to date.In this study, Al2O3-H2O nanofluids were studied using  molecular dynamics simulations and model parameterization. The dynamic  viscosity distribution patterns were obtained at various  temperatures(290K~360K), nanoparticle volume fractions(1.24%~6.2%), and  particle sphericity(0.69~1.0), and an efficient ternary second-order  polynomial viscosity prediction model was proposed on the basis of these  results.The findings demonstrate the model's goodness-of-fit with a  coefficient of determination over 0.96 and a root mean square error under  0.05, as well as its high predictive ability with a maximum relative error  between simulated and predicted values under 9%. Using this viscosity  prediction model, a subsequent parametric sensitivity study showsthat the  volume fraction had the most significant impact on viscosity, exhibiting not  just a second order effect but also an interacting effect with temperature  and sphericity. The relative nanofluid viscosity, which is the ratio of  nanofluid viscosity to aqueous base fluid viscosity, exhibits a convex  parabolic growth at constant temperature and sphericity and increases more  quickly at the same volume fraction the higher the temperature. The  viscosity of the nanofluid increases by up to 34% when the volume fraction  is equal to 6.28% and the particle sphericity is equal to 1.An efficient  viscosity prediction model makes it easier to control important variables to  reduce energy consumption during flow and increase its capacity to dissipate  heat.