Accurate Density Prediction of Nanofluids using an Optimized Artificial Neural Network for Enhanced Heat Transfer and Energy Systems
Author:
Affiliation:
1. Manipal University Jaipur,Computer Science and Engineering,Jaipur,Rajasthan,India
2. Poornima Institute of Engineering and Technology,Department of Mathematics,Jaipur,Rajasthan,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10295545/10295580/10295725.pdf?arnumber=10295725
Reference24 articles.
1. A comprehensive statistical approach for determining the effect of two non-ionic surfactants on thermal conductivity and density of Al2O3–water-based nanofluids
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3. Dynamic viscosity of Titania nanotubes dispersions in ethylene glycol/water-based nanofluids: Experimental evaluation and predictions from empirical correlation and artificial neural network
4. Isobaric heat capacity and density of ethylene glycol based nanofluids containing various nitride nanoparticle types: An experimental study;?y?a;Journal of Molecular Liquids,2018
5. Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network
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