Calculation Of Heat Transfer Coefficient Of Cuo (Copper Oxide) Produced As Nanofluid And Creation Of Predictive Model
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 10
Abstract
It is important to be able to use the energy in a more beneficial way by increasing the heat transfer in the in-pipe flows. Because, with the technological developments, there is an increasing energy demand in the industry sector. For this reason, researchers have been working on new generation heat transfer fluids in recent years. In this study, CuO (copper oxide) nanoparticle production was performed. SEM image analysis and ultraviolet - visible light (UV-Vis) analysis showing that the material produced has a nano material characteristic was performed. Heat transfer coefficients (h) were determined using pure water, ethanol and ethylene glycol materials together with CuO nanoparticles. It was observed that the number of Reynolds changes between 846 and 2292 in the experiments performed. A predictive model was obtained by using the decision tree regression for the calculated heat transfer coefficient of nanofluid. The mean absolute error (MAE), root mean squared error (RMSE), relative absolute error (RAE) and root relative absolute error (RRAE) analyzes were performed for the predictive model in decision tree regression.
Authors and Affiliations
Ahmet Beyzade Demirpolat, Aydın Çitlak, Mehmet Daş
Keywords
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