Photothermal Anti/De-icing Performances of Superhydrophobic Surfaces with Various Micropatterns

doi:10.16356/j.1005-1120.2023.02.003

Transactions of Nanjing University of Aeronautics & Astronautics

+Advanced Search

Archive > Volume Issue 2 > 2023(2):137-147. DOI:10.16356/j.1005-1120.2023.02.003 Prev Next

Photothermal Anti/De-icing Performances of Superhydrophobic Surfaces with Various Micropatterns

Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials

Abstract:

Superhydrophobic photothermal surface shows significant potential in the anti/de-icing field. In this work， we focus on the photothermal anti/de-icing performances of superhydrophobic surfaces with various micropatterns. A finite element simulation， coupling the wave optics and heat transfer models， is employed to illuminate the enhanced photothermal efficiency achieved by the reasonable design of surface micro/nano-structures. The effects of nanoparticle size， volume fraction， and coating thickness on the absorptivity and temperature rise of the photothermal coatings are discussed in detail. Furthermore， two hierarchical textures， including micropillars and microcones， are considered to expound the contribution of micro-scale structures on photothermal performances. Numerical results show that the surface with hierarchical textures has a better absorption efficiency of long waves than the single-scale surface， and the microcones topology presents the best photothermal efficiency. Moreover， the effects of geometric micropattern parameters， e.g. characteristic length and aspect ratio， are also discussed in detail. The illumination and ice melting test demonstrates the efficient anti/de-icing abilities of the superhydrophobic photothermal surfaces prepared in this study. The temperature rise of the optimal structure in this work can reach 45 ℃ under the 1 sun illumination. This work could shed new light on the design optimization of anti/de-icing materials.

Keywords:

Project Supported:

This work was supported by the National Natural Science Foundation of China （Nos.11972215， 12072174， 12172189， 52111540269）， the National Key R&D Program of China （Nos.2022YFC2402600， 2018FYA0305800）， and the China Postdoctoral Science Foundation （No.2021M701907）.

Clc Number:

TN925