A tri-mode energy-effective composite film with multi-dimensional array structure for All-Day Anti-/De-icing and intelligent sensing
• Surface temperature rises by > 60 °C under 1 sun at −30 °C and humidity of 80 %. • FDTD simulation describing the enhancement of photothermal conversion via LSPR. • Rapid de-icing of 6 mm-thick ice within 90 s under 4 V DC at −30 °C. • Dynamic early warning of water–ice phase transition, snowmelt and ice melt. Photothermal superhydrophobic surfaces exhibit potential to replace conventional mechanical and chemical de-icing methods across engineering scenarios. However, solar irradiation exhibits day-to-day change and seasonal variations significantly affect de-icing efficiency. Herein, a highly conductive photo/electro-thermal superhydrophobic film (AGHCS) is fabricated by scrape-coating and screen-printing with a continuous micro-nano hierarchical ridge-like grid pattern structure. AGHCS enables real-time anti-icing and rapid de-icing under irradiation. When irradiance is insufficient, the thermally/electrically conductive network confers electrothermal de-icing, ensuring all-weather anti-/de-icing. AGHCS surface temperature can reach over 60 °C under 1 sun at −30 °C and 80 %RH. Finite-difference time-domain simulations (FDTD) indicate that ridge-like Ag nanowires/microflakes induce localized surface plasmon resonances that substantially enhance the near-field electric field, thus enhancing photothermal conversion. The grid pattern rapidly melts ice and snow layers, detaching 6 mm-thick ice within 90 s via Joule heating at 4 V. Moreover, it prevents water from freezing on the surface under harsh conditions of an icing wind tunnel (−5 °C, LWC = 2 and 6 g/m 3 , wind speeds = 10–15 m/s). Further, the film supports multimodal, full-process dynamic sensing of underwater motion, snowmelt, and icing-de-icing, enabling real-time environmental-state monitoring. This work presents novel approaches to exploit tri-mode energy-efficient anti-/de-icing technologies and provides valuable insights for intelligent de-icing.
Authors
- Weicheng Jiao (ORCID: https://orcid.org/0000-0001-7763-2979)
- Xiaodong He (ORCID: https://orcid.org/0009-0008-4724-9483)
- Jieren Song (ORCID: https://orcid.org/0000-0002-4051-9515)
- Haozheng Jin
- Hongyuan Guo (ORCID: https://orcid.org/0000-0001-7182-3547)
- Yuxin Yin
- Lu Qiao
- Haomiao Sun
- Yuling Chen (ORCID: https://orcid.org/0009-0004-5276-267X)
Institutions
- North China University of Technology (CN)
- Shenzhen Institute of Information Technology (CN)
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- Materials & Design
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1016/j.matdes.2025.115060
- Primary Topic
- Icing and De-icing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00