Measurement of thermal conductivity of triple hybrid water based nanofluid containing MWCNT (10%)-Al2O3 (60%)-ZnO (30%) nanoparticles

In this study, the thermal conductivity (TC) of MWCNT (10%)-Al2O3 (60%)-ZnO (30%)/water hybrid nanofluids (HNFs) in different solid volume fractions (SVFs) and temperatures are measured experimentally and then statistically studied. Therefore, the components affecting RTC or Thermal Conductivity Enhancement (TCE) are given special attention. The results show that increasing the SVF and then increasing the number of collisions of nanoparticles (NPs) in all laboratory conditions improves the RTC of the HNFs. The rate of TCE improvement in the best test conditions of this study is reported to be 29.50%. In this research, modeling and optimization of RTC are performed using the response surface methodology (RSM). The maximum agreement of the proposed model with the 4th order with the experimental results has given acceptable validity to the theory section. Another indicator for determining the quality and accuracy of the correlation relationship is -1.05% <+ 1.08%. It is also found that with increasing the SVF, the sensitivity of RTC increases, which in the highest SVF (SVF=1.68%) had the highest sensitivity equal to 1.76%.

Automated summary

This study experimentally measures the thermal conductivity of MWCNT (10%)-Al2O3 (60%)-ZnO (30%)/water hybrid nanofluids at different solid volume fractions and temperatures, and statistically studies the components affecting the thermal conductivity. The study finds that increasing the solid volume fraction and the number of nanoparticle collisions improves the thermal conductivity of the hybrid nanofluids, with a reported improvement rate of 29.50% under the best test conditions. The study also utilizes the response surface methodology for modeling and optimizing the thermal conductivity.