Development of knowledge management in investigating the rheological behavior of SiO2/SAE50 nano-lubricant by response surface methodology (RSM)

The development of knowledge management in dynamic viscosity enables the effective use of fluid to optimize processes and innovations. By collecting, organizing, sharing and applying knowledge, professionals in various industries can take advantage of the potential of dynamic viscosity for optimal performance. Robust model results were developed to predict the viscosity of SiO2/SAE 50 nanofluid (NF) using RSM with a knowledge management approach in laboratory conditions of temperatures T = 25–50 °C, solid volume fractions in the range of SVF= 0–1.5% and shear rates in the range of SR= 666.5–7998 s−1 has been reported to establish a background in using the mentioned NF at high engine speed. After examining the four statistical models Linear, Quadratic, Cubic and Quartic in terms of statistical parameters extracted from ANOVA and measurement charts of the models, it was determined that the model Quartic has high precision compared to the three models in predicting the desired response. Thus, the values of R2 = 0.9923, Predicted R2 =0.9887 and Adjusted R2 = 0.9906 were reported for the selected model; and the MOD values of the Quartic model are − 7