Volume 2, Issue 2 (2018)                   IQBQ 2018, 2(2): 75-89 | Back to browse issues page

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derakhshanfard F, attari H. Studying experimental data related to change in viscosity of crude oil. IQBQ 2018; 2 (2) :75-89
URL: http://arcpe.modares.ac.ir/article-38-12879-en.html
Studying experimental data related to change in viscosity of crude oil
Fahimeh Derakhshanfard 1, Hassan Attari2
1- Chemical Engineering, Ahar Branch, Islamic Azad University, Ahar Branch, Ahar, Iran
2- Department of Chemical Engineering, Ahar Branch, Islamic Azad University, Ahar Branch, Ahar, Iran
Abstract:   (9214 Views)
In this research, general performance of Radial basis function (RBF) Artificial neural networks in experimental data on effect of the NiO, WO3, TiO2,ZnO and Fe2O3 nanoparticles in different temperatures and mass fractions on the viscosity of crude oil has been studied. The morphology and stability of the nanoparticles has been analyzed by DLS and TEM analysis, the results showed that the average diameter of the nanoparticles is from 10 to 30 nm which defers for different oxide nanoparticles. The general method for calculating the optimum span of the Isotropic Gaussian function with special algorithm for learning RBF networks, has been presented. This study's results declared that the RBF artificial neural networks, because of having strong academic basis and having the ability to filter the noises, has a good performance. With increase in temperature, the ratio of the viscosity of the nanofluids decreases compering to the viscosity of the basefluid. Also with increase in nanoparticles mass fraction the related viscosity increases boldly. For temperatures higher than 50°C, the related viscosity is less than the viscosity of the basefluid.
Keywords: nanofluids, viscosity, oxide nanoparticles, Artificial neural networks
Full-Text [PDF 1956 kb]   (2497 Downloads)    
Subject: Biomedical Enginireeng
Received: 2018/02/7 | Accepted: 2018/07/21 | Published: 2018/10/15
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