The RSM approach to develop a new correlation for density of metal-oxide aqueous nanofluids

International Technical Postgraduate Conference

Montazer, E.^1 ; Salami, E.^1 ; Yarmand, H.^1 ; Kazi, S.N.^1 ; Badarudin, A.^1

Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur

50603, Malaysia^1

关键词: Conducting performance;    Density prediction;    Empirical correlations;    Mass concentration;    Performance parameters;    Quadratic modeling;    Response surface methodology;    Thermo-physical property;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/210/1/012071/pdf
DOI  :  10.1088/1757-899X/210/1/012071

来源: IOP

【 摘 要 】

Density is one of the basic thermo-physical properties of a fluid that should be analysed before conducting performance analysis of the fluid. In the present study, the influence of design parameters on the density of nanofluids was investigated using response surface methodology (RSM). The quadratic model generated by RSM is used to predict the performance parameters, i.e. temperature and mass concentration with reasonably good accuracy. Improved empirical correlations were proposed based on the experimental data for density prediction of the metal oxide nanofluids. Experimentally measured densities of two different nanofluids at the nanoparticle mass fraction of up to 0.2% and the temperature range of 20°C-40°C were examined. The enhancement of densities compared to the density of base fluid at 20°C and 40°C, are about 0.217% for 0.2% fraction of ZnO nanoparticles. In addition, the densities of SiO2nanofluids are improved 0.117% compared to the density of distilled water. Finally the RSM outputs were compared with the results obtained from the experimental data. It was observed that the optimal RSM model is accurate and the absolute maximum deviations measured values from the predicted densities of ZnO and SiO2nanofluids are 0.008% and 0.014% respectively.