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The thermal resistance of deionized water and nanofluids at various Reynolds numbers.

The thermal resistance of deionized water and nanofluids at various Reynolds numbers.

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The current article used four different models (single-phase, Mixture, Eulerian, and discrete phase model) to investigate the flow and heat transfer characteristics of nanofluids under a laminar state. We explored the Al2O3-water nanofluid inside a microscale trapezoidal channel and the CuO-oil inside a circular channel with a regular size. The vel...

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... Initially, the concept of stable nanoparticle suspension was employed by Choi and Eastman [6] to generate a modern kind of solidliquid. It is clear that several studies have been done to analyze the impact of using nanoparticle on heat transfer and thermal conductivity in different situations [7][8][9][10][11][12][13][14][15][16]. ...
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Copper oxide-thermal oil nanofluid are utilized to be analyzed the effect of nanofluid on forced convection and friction factor in downward flow in slope pipes. Respectively, the shape of flow is fully developed and other boundary condition is isothermal wall of tube. The effectiveness of solid-fluid, and negative slope on forced convection is investigated with Prantle number. The results of forced convection soar slightly when nanoparticle mass concentration augments. A couple of equations advise to be applied for evaluating forced convection and pressure drop in downward flow under contact wall temperature and fully developed flow in this article. The peaked deviation is 18% that can accept for experimental study that can apply in manufacturing usage. The accompanying forced convection rate with pumping power rate is computed. If the rise of pumping power rate is more than forced convection enhancement, it is not to be suitable to utilize copper oxide and thermal oil and negative slope. The FOM rise up to 66% which is computed with 1.5% weight mass fraction and a slope of-30º at Reynolds number of 780. The upshot demonstrate that the most of values are more than unit, so the forced convection improvement is more than the rise of pumping power rate.
... Fig. 1 illustrates the average error in the comparison is within 3%, therefore the mesh quality for the present calculation is acceptable, meanwhile the calculation model and boundary conditions' settings are proved to be ideal. Calculation accuracy of different models are further compared and shown in Fig. 2. Taking the case of 1.5% mass fraction as an example, as shown in Fig. 2, the results from discrete phase model are closer to the experimental data compared to those of the other two ones, which is consistent with the results of Wang et al. [29][30][31]. However, the more accurate models including discrete phase model and Euler model require more calculation resources. ...
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