Experimental investigation and presentation of superior models in forecasting of dynamic viscosity of MWCNT-ZnO nanofluid using response surface method (RSM

Document Type : Original Article

Authors

1 Associate Professor, Department of Energy Conversion, Faculty of Civil Engineering, Water and Energy, Imam Hossein University, Tehran, Iran

2 Master's student, Department of Energy Conversion, Faculty of Civil Engineering, Water and Energy, Imam Hossein University, Tehran, Iran

Abstract

In this study, the dynamic viscosity of the hybrid nanofluid, including ZnO-MWCNT nanoparticles with a ratio of (20%-80%) on the 40w10 oil base fluid in the range of 5 oC to 55 oC and six volume fractions in the range of 0.05 to 1% and a shear of to 11997s-1 is investigated. With the help of response surface analysis method (RSM), different models are investigated. In this comparison, analysis of important parameters of different models including R², Adjusted R, Predicted R², CV%, Std. Dev are studied. The results showed that the fourth order model has the best performance among different models and its important values are R2=0.9993, Adjusted R²=0.9994, Predicted R²=0.9991, Cv%=2.46 and Std. Dev. =4.57 respectively. Also, the trend of viscosity changes is investigated. The results showed that temperature has the greatest effect on viscosity. Also, in order to reduce costs and save time, the optimal relationship for predicting the dynamic viscosity is presented.

Keywords



Articles in Press, Accepted Manuscript
Available Online from 13 January 2025
  • Receive Date: 06 January 2024
  • Revise Date: 29 July 2024
  • Accept Date: 10 November 2024
  • Publish Date: 13 January 2025