Statistical and artificial based optimization on thermo-physical properties of an oil based hybrid nanofluid using NSGA-II and RSM
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DOI: 10.1016/j.physa.2019.122126
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- Alikar, Najmeh & Mousavi, Seyed Mohsen & Raja Ghazilla, Raja Ariffin & Tavana, Madjid & Olugu, Ezutah Udoncy, 2017. "Application of the NSGA-II algorithm to a multi-period inventory-redundancy allocation problem in a series-parallel system," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 1-10.
- Ebrahimi-Moghadam, Amir & Mohseni-Gharyehsafa, Behnam & Farzaneh-Gord, Mahmood, 2018. "Using artificial neural network and quadratic algorithm for minimizing entropy generation of Al2O3-EG/W nanofluid flow inside parabolic trough solar collector," Renewable Energy, Elsevier, vol. 129(PA), pages 473-485.
- Hemmat Esfe, Mohammad & Abbasian Arani, Ali Akbar & Esfandeh, Saeed & Afrand, Masoud, 2019. "Proposing new hybrid nano-engine oil for lubrication of internal combustion engines: Preventing cold start engine damages and saving energy," Energy, Elsevier, vol. 170(C), pages 228-238.
- Bigdeli, Masoud Bozorg & Fasano, Matteo & Cardellini, Annalisa & Chiavazzo, Eliodoro & Asinari, Pietro, 2016. "A review on the heat and mass transfer phenomena in nanofluid coolants with special focus on automotive applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1615-1633.
- Chandran, M. Neelesh & Manikandan, S. & Suganthi, K.S. & Rajan, K.S., 2017. "Novel hybrid nanofluid with tunable specific heat and thermal conductivity: Characterization and performance assessment for energy related applications," Energy, Elsevier, vol. 140(P1), pages 27-39.
- Iacobazzi, Fabrizio & Milanese, Marco & Colangelo, Gianpiero & Lomascolo, Mauro & de Risi, Arturo, 2016. "An explanation of the Al2O3 nanofluid thermal conductivity based on the phonon theory of liquid," Energy, Elsevier, vol. 116(P1), pages 786-794.
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- Tian, Zhe & Rostami, Sara & Taherialekouhi, Roozbeh & Karimipour, Arash & Moradikazerouni, Alireza & Yarmand, Hooman & Zulkifli, Nurin Wahidah Binti Mohd, 2020. "Prediction of rheological behavior of a new hybrid nanofluid consists of copper oxide and multi wall carbon nanotubes suspended in a mixture of water and ethylene glycol using curve-fitting on experim," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
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Keywords
Hybrid nanofluid; Optimization; NSGA-II; TC; Viscosity;All these keywords.
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