Regression analysis for thermal properties of Al2O3/H2O nanofluid using machine learning techniques
Author:
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference31 articles.
1. Review on nanofluids theoretical thermal conductivity models;Mukesh Kumar;Eng. J.,2015
2. Temperature dependence of thermal conductivity enhancement for nanofluids;Das;J. Heat Trans., ASME,2013
3. Thermal Conductivity of non-Newtonian nanofluids: experimental data and modeling using neural network;Hojjat;Int. J. Heat Mass Tran.,2011
4. Experimental determination of thermal conductivity of three nanofluids and development of new correlations;Vajjha;Int. J. Heat Mass Tran.,2009
5. Optimization of thermal conductivity of Al2O3 nanofluid by using ANN and GRG methods;Jamal;Int. J. Nanosci. Nanotechnol.,2013
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