Numerical investigation of TiO2 and MWCNTs turbine meter oil nanofluids: Flow and hydrodynamic properties
Atiyeh Aghaei Sarvari,S. Zeinali Heris,Mousa Mohammadpourfard,Seyed Borhan Mousavi,Patrice Estellé +4 more
TLDR
In this article , the influence of multi-walled carbon nanotubes (MWCNTs) and TiO2 nanoparticles (NPs) on lubricant and fluid flow within natural gas turbine meters was evaluated.About:
This article is published in Fuel.The article was published on 2022-07-01 and is currently open access. It has received 26 citations till now. The article focuses on the topics: Nanofluid & Pressure drop.read more
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Investigation of H2O2/UV advanced oxidation process on the removal rate of coliforms from the industrial effluent: A pilot-scale study
Meysaam Ashrafi,Seyed Borhan Mousavi,S. Zeinali Heris,Mohammad Heidari,Mousa Mohammadpourfard,Hassan Aslani +5 more
TL;DR: In this paper , the efficiency of the advanced oxidation process using UV and H2O2 combination was investigated on fecal coliform (FC) inactivation from a real industrial effluent; furthermore, the optimal condition for disinfection of the effluent using various parameters such as pH, pH, H 2O2 concentration, and contact time was determined.
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The Catalytic Reduction of Nitroanilines Using Synthesized CuFe2O4 Nanoparticles in an Aqueous Medium
TL;DR: In this paper , the reduction of 4-nitroaniline (4-NA) and 2-nitrogen (2−NA) using synthesized copper ferrite nanoparticles (NPs) via facile one-step hydrothermal method as a heterogeneous nano-catalyst was investigated.
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Facile copper ferrite/carbon quantum dot magnetic nanocomposite as an effective nanocatalyst for reduction of para-nitroaniline and ortho-nitroaniline
TL;DR: In this paper , the mesoporous structure of a magnetic nanocatalyst with copper ferrite (CuFe2O4) and gelatin-derived carbon quantum dots (CQDs) was shown using the BET/Barrett-Joyner-Halenda technique.
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Optimizing the heat transfer characteristics of MWCNTs and TiO2 water-based nanofluids through a novel designed pilot-scale setup
TL;DR: In this article , the effect of using multi-walled carbon nanotubes (MWCNTs) nanofluid was compared with the results of TiO2 and previous work.
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The novel Carbon Nanotube-assisted development of highly porous CaZrO3-CaO xerogel with boosted sorption activity towards high-temperature cyclic CO2 capture
TL;DR: In this article , the authors employed three minor concentrations of Carbon Nanotubes (CNT), 2.5, 5, and 10 wt.%, as an auxiliary additive to boost the textural and structural features and CO2 capture potential of sol-gel-derived CaZrO3-CaO adsorbents.
References
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Investigation on ethylene glycol Nano fluid flow over a vertical permeable circular cylinder under effect of magnetic field
TL;DR: In this article, the mixed convection stationary point flow of an incompressible viscous nano fluid into a vertical permeable circular cylinder along with electric conductivity is analyzed, and the strong nonlinear systems calculations are presented using the Numerical Method after non-dimensionalization.
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Statistical investigation for developing a new model for rheological behavior of Silica–ethylene glycol/Water hybrid Newtonian nanofluid using experimental data
TL;DR: In this paper, the authors developed a new model for rheological behavior of Silica-Ethylene glycol/Water (30: 70 vol %) hybrid Newtonian nanofluid and found that the relationship between shear stress and shear rate is linear; then the desired fluid is Newtonian.
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Advances in carbon nanomaterials as lubricants modifiers
Imran Ali,Imran Ali,Al Arsh Basheer,Anastasia Kucherova,N. R. Memetov,Tatiana Pasko,Kirill Ovchinnikov,Vladimir Pershin,Denis Kuznetsov,Evgeny Galunin,Vladimir A. Grachev,Alexey Tkachev +11 more
TL;DR: In this article, the application of carbon nanostructures such as carbon nanotubes and graphene, as nano-additives to lubricants in order to improve their tribological characteristics i.e. to decrease friction and wear.
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Designing an Artificial Neural Network (ANN) to predict the viscosity of Silver/Ethylene glycol nanofluid at different temperatures and volume fraction of nanoparticles
TL;DR: In this article, an Artificial Neural Network (ANN) is designed to predict the dynamic viscosity of Ag/Ethylene glycol nanofluid and finally the results of ANN and correlation has been compared.
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Measurement of the thermal conductivity of MWCNT-CuO/water hybrid nanofluid using artificial neural networks (ANNs)
TL;DR: In this article, the authors used ANNs to predict thermal conductivity of multi-walled carbon nanotubes (MWCNTs)-CuO/water nanofluid.