Ice Adhesion. Группа авторов

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rel="nofollow" href="#ulink_04f0ff79-e675-5f23-abc1-73b0033aa8a4">(1.7) c01_Inline_15_13.jpg

      (1.8)c01_Inline_15_14.jpg

      (1.9)c01_Inline_16_11.jpg

      where

      (1.10)c01_Inline_16_12.jpg

      where c01_Inline_16_17.jpg and m = cos(θIW). Note that as x approaches 0, fconvex approaches unity and Equation 1.12 agrees exactly with that for the homogeneous nucleation case.

      where c01_Inline_17_11.jpg

      Further analysis of the geometric factors, fconvex and fconcave, can give insight into why surface roughness has been shown to both increase [79] and decrease [80] the rate of heterogeneous ice formation. Equations 1.13 and 1.14 have been plotted for a range of ice-water contact angles (i.e. temperatures) in Figure 1.5. Note that ƒ < 1 in all cases, and therefore c01_Inline_17_12.jpg agreeing with the intuitive assessment that ice nucleates more readily on a foreign solid surface. Equations 1.12-1.14 show that the free energy for the heterogeneous formation of a stable ice embryo is maximized for surfaces which:

      1 Have a minimized overall surface area, as ∆G* is a function of surface area.

      2 Are exclusively decorated with nanoconvexities, as fconvex > fconcave.

      3 Are decorated with nanoconvexities with minimized radii of curvature, as fconvex is maximized as Rs → 0.

      Naturally, conclusions 1 and 2 are mutually exclusive. One cannot minimize surface area while also exclusively decorating a surface with nanoscale bumps. Thus, a compromise must be reached between decorating a surface with nanoconvex features and minimizing the overall surface area.

      Taking conclusion 3 as the starting point for the thermodynamic surface design, one aims for a surface decorated with nanoscale spikes (that is, convex features with Rs → 0). Next, the distance between these nanospikes must be minimized while also minimizing the overall surface area. This can be realized by joining the nanospikes with spherical nanoconcavities. Figure 1.5(b) shows nanoconcavities with radii c01_Inline_18_8.jpg should be avoided in order to maximize fconcave (and thus ∆G*). One should strive to reach this limit of c01_Inline_18_9.jpg for the nanoconcavities of the engineered surface in order to maximize the occurrence of the desired nanospikes. In the case of the 1.5 nm critical nuclei radius calculated for -25°C supercooling, a roughness radius of curvature for the nanoconcavities of 15 nm is desired. Such a hypothetical surface for the suppression of ice nucleation is shown in Figure 1.6.

Schematic illustration of geometric factors, ƒ, for heterogeneous ice nucleation free energy barrier calculation on both (a) convex and (b) concave solid surfaces as a function of surface roughness radius of curvature.

      Figure 1.5 Geometric factors, ƒ, for heterogeneous ice nucleation free energy barrier calculation on both (a) convex and (b) concave solid surfaces as a function of surface roughness radius of curvature, Rs. Adapted from [78].

      1.2.3 Predicting Delays in Ice Nucleation

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