Thermal Energy Storage Systems and Applications. Ibrahim Dincer

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be obtained using appropriate assumptions.

      The essential first step in the solution of a convection heat transfer problem is to determine whether the boundary layer is laminar or turbulent. These conditions affect the convection heat transfer coefficient and hence the convection heat transfer rates.

      The conditions of laminar and turbulent flows on a flat plate are shown in Figure 1.13. In the laminar boundary layer, fluid motion is highly ordered and it is possible to identify streamlines along which particles move. Fluid motion in the turbulent boundary layer, on the other hand, is highly irregular, and is characterized by velocity fluctuations that begin to develop in the transition region (after this, the boundary layer becomes completely turbulent). These fluctuations enhance the transfer of momentum, heat, and species, and hence increase surface friction as well as convection transfer rates. In the laminar sublayer, which is nearly linear, transport is dominated by diffusion and the velocity profile. There is an adjoining buffer layer in which diffusion and turbulent mixing are comparable. In the turbulent region, transport is dominated by turbulent mixing.

      The critical Reynolds number is the value of Re for which transition begins, and for external flow it is known to vary from 105 to 3 × 106, depending on the surface roughness, the turbulence level of the free stream, and the nature of the pressure variation along the surface. A representative value of Re is generally assumed for boundary layer calculations:

      (1.122)equation

      For smooth circular tubes, when the Reynolds number is less than 2100, the flow is laminar, and when it is greater than 10 000, the flow is turbulent. The range between these values represents the transition region.

      Source: Dincer and Rosen [9].

Equation or correlation
Correlations for flat plate in external flow
images
Correlations for circular cylinders in cross‐flow
Nu = cRenPr1/3 for Pr ≥ 0.7 for average; Tfm; 0.4 < Re < 4 × 106
where
c = 0.989 and n = 0.330 for 0.4 < Re < 4
c = 0.911 and n = 0.385 for 4 < Re < 40
c = 0.683 and n = 0.466 for 40 < Re < 4000
c = 0.193 and n = 0.618 for 4000 < Re < 40 000
c = 0.027 and n = 0.805 for 40 000 < Re < 400 000
Nu = cRenPrs(Pra/Prs)1/4 for 0.7 < Pr < 500 for average; Ta; 1 < Re < 106
where
c = 0.750 and n = 0.4 for 1 < Re < 40
c = 0.510 and n = 0.5 for 40 < Re < 1000
c = 0.260 and n = 0.6 for 103 < Re < 2 × 105
c = 0.076 and n = 0.7 for 2 × 105 < Re < 106
s = 0.37 for Pr ≤ 10
s = 0.36 for Pr > 10
Nu = 0.3 + [(0.62Re1/2Pr1/3)/(1 + (0.4/Pr)2/3)1/4][1 + (Re/28 200)5/8]4/5 for RePr>0.2 for average; Tfm
Correlations for spheres in cross‐flow
images
for average; Ta; 3.5 < Re < 7.6 × 104; 1 < (μa/μs) < 3.2
Correlation for falling drop
Nu = 2 + 0.6Re1/2Pr1/3[25(x/D)−0.7] for average; Ta

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