1. Three-Dimensional Superhydrophobic Nanowire Networks for Enhancing Condensation Heat Transfer 
Rongfu Wen, Shanshan Xu, Xuehu Ma, Yung-Cheng Lee, Ronggui Yang 
Joule 
Volume 2, Issue 2, Pages (February 2018)
DOI: /j.joule
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2. Joule 2018 2, DOI: ( /j.joule )
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3. Figure 1
Structure Morphology of Straight Copper Nanowire Arrays and 3D Copper Nanowire Networks
(A and B) SEM images of a conventional porous AAO template (A) and a 3D porous AAO template (B).
(C and D) Plane view (left) and cross-sectional view (right) SEM images of straight copper nanowire arrays (C) and 3D copper nanowire networks (D). High magnification SEM images showing the micro-defects (inset in C) and homogeneous morphology of 3D nanowire networks (inset in D).
(E and F) Transmission electron microscopy images of a separated straight copper nanowire (E) and a separated copper nanowire with nanoscale bumps from 3D nanowire networks (F).
See also Figures S1–S6.
Joule 2018 2, DOI: ( /j.joule )
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4. Figure 2
Wetting State and Dynamic Behavior of Droplets with Increased Surface Subcooling
(A) Schematic of condensation chamber showing the vertically mounted test surfaces.
(B) Conventional dropwise condensation on the plain hydrophobic surface with droplet removal by gravity at various surface subcooling.
(C) Condensation mode from jumping to flooding on straight superhydrophobic nanowire arrays (20 μm long) with the increase in surface subcooling where the droplet wetting state transitions from a mobile suspended or partially wetting state to a pinned state.
(D) Stable jumping droplet condensation on 3D superhydrophobic nanowire networks (20 μm long) without flooding phenomenon under a wide range of surface subcooling.
See also Figures S7 and S8.
Joule 2018 2, DOI: ( /j.joule )
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5. Figure 3 Quantitative Analysis of Condensed Droplet Characteristics
(A and B) Averaged droplet departure radius (A) and surface coverage (B) on the plain hydrophobic surface, straight nanowire arrays (20 μm long), and 3D nanowire networks (20 μm long) as a function of surface subcooling ΔT. Droplet departure radius was estimated by comparing sequential images during a 30 s period of condensation. Surface coverage was averaged over the images recorded in a field of view of 3.5 × 3.5 mm. Error bars are calculated from the measurement uncertainties of temperature and flow rate via error propagation (see Supplemental Information for details).
Joule 2018 2, DOI: ( /j.joule )
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6. Figure 4 Enhanced Condensation Heat Transfer Performance
(A and B) Heat flux q (A) and heat transfer coefficient h (B) as a function of surface subcooling ΔT for the plain hydrophobic surface, straight nanowire arrays (20 μm long), and 3D nanowire networks (20 μm long). For straight nanowire arrays, rapid surface refreshing due to droplet jumping results in significantly enhanced heat flux and heat transfer coefficient under small surface subcooling. However, flooding leads to degradation of heat transfer under large surface subcooling. For 3D nanowire networks, stable jumping droplet condensation enables continuous heat transfer enhancement. Error bars are calculated from the measurement uncertainties via error propagation (see Supplemental Information). See also Figure S9.
Joule 2018 2, DOI: ( /j.joule )
Copyright © 2017 Elsevier Inc. Terms and Conditions