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Heat transfer coefficient as function of Reynolds number at 300 K, ε = 0.5 and θ = 0.

Heat transfer coefficient as function of Reynolds number at 300 K, ε = 0.5 and θ = 0.

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This paper presents the results of extensive numerical simulations, based on the control volume method, of 2D nanofluid fluid flow around a heated elliptical cylinder with different incidence angle and aspect ratio. The continuity and momentum equations have been numerically solved using a SIMPLE algorithm. Two types of nanofluids consisting of Al2...

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... known Reynolds number presents typical dependence related to the velocity of the flow, thus the heat transfer coefficient will be enhanced by the growth of Reynolds number, since the velocity enhance considerably the flux of temperature. From Figure 8, it is obvious, for a given particle concentration that the heat transfer coefficient increases linearly in different concentrations. To throw more light into the combined effect of the aspect ratio and the incidence angle, the Figure 9 shows the variation of those two parameters with respect to the heat transfer coefficient using nanofluid EG-water (60:40) Al 2 O 3 5%. ...

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... The numerical methods used to solve the flow and energy equations using the implicit alternative direction method (ADI). Table 1 shows the thermophysical characteristics of the base fluid (water) and (EG Water (60:40)) [14,15] Table 2 shows the thermophysical characteristics of the three nanoparticles that constitute the nanofluids [15,16]. Table 2. Nanoparticles thermophysical properties. ...
... Where W ̅ is the average axial velocity and substituting equation (15) into equation (14) gets: ...
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... In the homogenous method, 100 it is assumed that the solid particles and the base fluid are in ther-101 mal equilibrium and have the same temperature and velocity. 102 There are many numerical studies in this field which have been 103 used homogeneous approach for simulation of the nanofluids 104 [14][15][16][17][18][19]. Purusothaman et al. [20], Cho et al. [21], Sheremet et al. 105 [22], Alsabery et al. [23] and Mahmoodi [24] presented a numerical 106 study of natural and mixed convection heat transfer of nanofluid 107 flow in different geometries. ...
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... The numerical methods used to solve the flow and energy equations using the implicit alternative direction method (ADI). Table 1 shows the thermophysical characteristics of the base fluid (water) and (EG Water (60:40)) [14,15] Table 2 shows the thermophysical characteristics of the three nanoparticles that constitute the nanofluids [15,16]. Table 2. Nanoparticles thermophysical properties. ...
... Where W ̅ is the average axial velocity and substituting equation (15) into equation (14) gets: ...
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Power spectral analysis of heart rate variability (HRV) has been used to indicate cardiac autonomic function. High-frequency power relates to respiratory sinus arrhythmia and therefore to parasympathetic cardiovagal tone; however, the relationship of low-frequency (LF) power to cardiac sympathetic innervation and function has been controversial. Alternatively, LF power might reflect baro reflexive modulation of autonomic outflows. We studied normal volunteers and chronic autonomic failure syndrome patients with and without loss of cardiac noradrenergic nerves to examine the relationships of LF power with cardiac sympathetic innervation and baroreflex function. We compared LF power of HRV in patients with cardiac sympathetic denervation, as indicated by low myocardial concentrations of 6-[(18)F]fluorodopamine-derived radioactivity or low rates of norepinephrine entry into coronary sinus plasma (cardiac norepinephrine spillover) to values in patients with intact innervation, at baseline, during infusion of yohimbine, which increases exocytotic norepinephrine release from sympathetic nerves, or during infusion of tyramine, which increases non-exocytotic release. Baroreflex-cardiovagal slope (BRS) was calculated from the cardiac interbeat interval and systolic pressure during the Valsalva maneuver. Results. LF power was unrelated to myocardial 6-[(18)F]fluorodopamine-derived radioactivity or cardiac norepinephrine spillover. In contrast, the log of LF power correlated positively with the log of BRS (r = 0.72, P < 0.0001). Patients with a low BRS (</=3 msec/mm Hg) had low LF power, regardless of cardiac innervation. Tyramine and yohimbine increased LF power in subjects with normal BRS but not in those with low BRS. BRS at baseline predicted LF responses to tyramine and yohimbine. LF power reflects baroreflex function, not cardiac sympathetic innervation.