Modeling and Multi-Objective Optimization of Thermophysical Properties for Thermal Conductivity and Reynolds number of CuO-Water Nanofluid using Artificial Neural Network.
In nanofluids, due to the small size of the particles, they greatly reduce the problems caused by corrosion, impurities, andpressure drop, and the stability of fluids against sediment is significantly improved. Due to the high conductivity of nanoparticles, with the distribution in the base fluid, t...
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| Format: | Article |
| Language: | English |
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Yeshwantrao Chavan College of Engineering, India
2020-11-01
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| Series: | Journal of Research in Engineering and Applied Sciences |
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| Online Access: | http://www.mgijournal.com/Data/Issues_AdminPdf/214/Modeling_and_Multi-Objective_Optimization_of_Thermophysical_Properties_for_Thermal%20_Conductivity_and_Reynolds_number_of_CuO-Water_Nanofluid_using_Artificial_Neural_Network.pdf |