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Importance of nanofluid evaluations at identical velocity and pumping power: a specific evaluation for Ag-MgO/water hybrid nanofluid flow through a pipe under turbulent regime

In this study, heat transfer and fluid flow characteristics of Ag-MgO/water hybrid nanofluid flow through a pipe were numerically investigated under turbulent regime at identical Reynolds number, velocity and pumping power. To model the flow, the standard k turbulence model was used. In the analyses, Reynolds number was in the range from Re=10000 to Re=100000 and velocity ranged from V=0.3 m/s to V=3.0 m/s. As a result, it was found that the enhancements in convective heat transfer coefficient were obtained to be 23.72% for identical Reynolds number, 6.27% for identical velocity and 0.44% for identical pumping power. Nanofluids had higher velocities compared to their base fluid to be able to compare them at identical Reynolds number. It was found that this velocity differences can already cause a convective heat transfer enhancement of 16.29% without nanoparticle addition. Nanofluids have higher performance evaluation criteria than unity at identical Reynolds number while they have lower values than unity at identical velocity and pumping power. It can be concluded that the results obtained for identical Reynolds number are extremely optimistic and not realistic. Nanofluids should be examined at identical velocity or pumping power for a fair comparison. Keywords: Entropy generation Heat convection Heat transfer enhancement Nanofluid Turbulence

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Experimental and Artificial Neural Network Investigation on the Thermal Efficiency of Two-Phase Closed Thermosyphon

The main purpose of this study is to investigate the thermal efficiency of a Two-Phase Closed Thermosyphon (TPCT). For this purpose, initially, an experimental study was performed, then to predict the other experimental conditions ANN model which has used a wide range of thermal engineering systems was developed. A vertical copper pipe charged with different working fluids as pure water, ethanol, and ethylene glycol were used for TPCT. Impact of the various parameter such as heating power input, inclination angle, cooling water flow rate and working fluid type on the TPCT efficiency are examined. It is found that the increase in the inclination angle increased the TPCT efficiency while the increase in heating power input decreased efficiency. Regression analysis was applied to examine the performance of ANN between estimated and experimental data. The Mean Absolute Percentage Error (MAPE) was found to be less than 1.3 % for the training set and 3.1% for the test data set. The ANN predictions yield R2 in the range of 0.9998 for the training set and 0.9989 for the test data set. The obtained results from the experimental study and ANN were found in good agreement, and it is also concluded that from the study the ANN is a useful tool to estimate such thermal engineering problems. Keywords: Thermal efficiency Heat pipe Two-phase closed thermosyphon ANN

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