2020
DOI: 10.1615/heattransres.2020034645
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Prediction of Dynamic Viscosity of a New Non-Newtonian Hybrid Nanofluid Using Experimental and Artificial Neural Network (Ann) Methods

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Cited by 21 publications
(3 citation statements)
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“…The application of conventional heat transfer fluids such as water, methanol, ethylene glycol, and engine oil, due to their low thermal conductivities is limited [1]. To upgrade the energy efficiency of systems in engineering applications the conventional heat transfer fluids were replaced with nanofluids (NFs) [2]. nanofluids are suspension of small solid particles of metallic or non-metallic, called nanoparticle in the aforementioned base fluids [3].…”
Section: Introductionmentioning
confidence: 99%
“…The application of conventional heat transfer fluids such as water, methanol, ethylene glycol, and engine oil, due to their low thermal conductivities is limited [1]. To upgrade the energy efficiency of systems in engineering applications the conventional heat transfer fluids were replaced with nanofluids (NFs) [2]. nanofluids are suspension of small solid particles of metallic or non-metallic, called nanoparticle in the aforementioned base fluids [3].…”
Section: Introductionmentioning
confidence: 99%
“…Complex challenges, particularly nonanalytical, nonlinear, and nonstationary, may be solved with ANNs because of their ability to ease high-level programming in their crude mimicry of a biological network, which can be used to handle a wide range of problems. The experimental study is carried out using artificial neural networks strategies, to simulate energy and exergy of the evacuated solar-tubes is performed in the study by Sadeghi et al (2020), thermal conductivity model nanofluid-based study is carried out in the study by Pare and Ghosh (2021), non-Newtonian hybrid nanofluid is taken to predict the dynamic viscosity (Toghraie et al, 2020), and statistical tools applied for thermos-physical properties of nanofluid (Esfe et al, 2022). The third-grade nanofluidic model along with convective conditions has been taken through a stretchable surface which is further solved by neural technique in the study by Shoaib et al (2021).…”
Section: Introductionmentioning
confidence: 99%
“…In this article, an analysis was performed on the convection of a Newtonian fluid flow between two asymmetric parallel surfaces in a porous medium. Mondal [17] researched irreversibility minimization in a viscoelastic liquid flow [18–49]. The viscoelastic parameters, the Peclet number, and the temperature gradient were studied in this paper.…”
Section: Introductionmentioning
confidence: 99%