Study of the effect of preparation parameters on thermal conductivity of metal oxide nanofluids using Taguchi method

Abstract

The optimization of process parameters of the nanofluid preparation process for maximum stability and high heat transfer is an active and important area of research. In this work, the effect of the surfactant material, surfactant weight, and ultrasonication time are studied on distilled water-based CuO, Fe3O4, and CuO+Fe3O4 nanofluids. Taguchi L9 orthogonal array was used for the design of the experiment and 9 samples were prepared using this array. The effect of each level of process parameter on the thermal conductivity is analyzed by calculating Signal to Noise Ratio (SNR) and optimum levels of these parameters are identified. The crucial role of stability in delivering high thermal conductivity nanofluids as predicted by SNR analysis is further confirmed using Analysis of Variance (ANOVA).

Optimization of the Effects of Binary Hybrid Nanofluid Synthesis Parameters on the Thermal and Hydraulic Characteristics

“…These outcomes are consistent with the research conducted by Wohld et al [23]. Furthermore, Mane and Hemadri [24] emphasized in their ANOVA results that the CuO+Fe3O4 nanofluid contributed the highest enhancement to thermal conductivity, consistent with the findings of this study, highlighting the role of surfactant utilization. Lastly, Karmare et al[] stated that particle loading is a significant factor influencing both viscosity and thermal conductivity, aligning with the results of our study.…”

Experimental Investigation of the Viscosity and Stability of Scleroglucan-Based Nanofluids for Enhanced Oil Recovery

“…Furthermore, the agglomeration of the NPs over time increases their particle size, reducing their Brownian velocity. When the Brownian velocity reaches terminal settling velocity, the NPs cannot overcome the gravitational force and precipitate in the nanofluids, causing viscosity reduction over time [ 54 ].…”