Experimental and numerical analysis of rheological characterization of hybrid nano-lubricants containing COOH-Functionalized MWCNTs and oxide nanoparticles
作者： Ahmadreza Ghaffarkhah , Amin Bazzi , Zahra Azimi Dijvejin , Mohsen Talebkeikhah , Mostafa Keshavarz Moraveji
DOI: 10.1016/J.ICHEATMASSTRANSFER.2019.01.003
关键词:
摘要: Abstract In this study, the dynamic viscosity of four different hybrid nano-lubricants was investigated. The base fluid SAE 40 engine oil. suspended nanoparticles consisted 20 Vol% COOH-Functionalized MWCNTs and 80 oxide (SiO2, Al2O3, MgO, ZnO). experiments were performed at temperatures between 25 50°∁ solid volume fractions 0.05, 0.25, 0.50, 0.75 1%. addition, decision tree, random forest, Support Vector Machine (SVM), Radial Basis Function Artificial Neural Networks (RBF-ANN) used to predict prepared nanofluids. tree forest methods have highest accuracy in terms predicting nano-lubricants.
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