journal article·2024-11-13

Simulation-Guided Preparation of Copper Chalcogenide Nanoparticle-Based Transparent Photothermal Coating with Enhanced Deicing Performance

Rui Tang, Ting Chen, Wei Jian, Wing-Cheung Law, Cheuk Lun Chow, Denvid Lau

ACS Applied Materials & Interfaces· Volume 16· Issue 45
Publisher page

Abstract

In this investigation, transparent photothermal coatings utilizing plasmonic copper chalcogenide (Cu 2– x S) nanoparticles were designed and fabricated for the deicing of glass surfaces. Cu 2 – x S nanoparticles, chosen for their high near-infrared (NIR) absorption and efficient photothermal conversion, were analyzed via finite difference time domain (FDTD) simulations to optimize nanoparticle morphology, thus avoiding costly trial-and-error synthesis. FDTD simulations determined that Cu 2– x S nanorods (Cu-NRs) with an optimal aspect ratio of 2.2 had superior NIR absorption. Guided by FDTD simulations, the composite coating composed of Cu-NRs in clear acrylic resin paint was brush-coated to glass, achieving 62.4% visual transmittance and over 95% NIR absorbance. Photothermal conversion tests exhibited a significant temperature increase, with the coating reaching 65 °C under NIR irradiation within 6 min. The dynamic deicing process of ice beads on the coating at −20 °C completed within 220s, in contrast to the frozen state on glass coated with clear acrylic resin paint. Furthermore, heat transfer simulations in COMSOL illustrated melting initiation at the ice-coating interface and subsequent progression through the ice layer. This simulation-driven synthesis method and photothermal testing offer a design framework for the fabrication of photothermal deicing coatings with applications for automobiles, buildings, and aircraft in cold environments.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanomaterials and Printing Technologies · Gold and Silver Nanoparticles Synthesis and Applications · Photonic Crystals and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China

Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Funding

Research Grants Council, University Grants Committee · Hong Kong Polytechnic University

References (59)

Show source-provided references
1. 10.1016/j.apsusc.2022.15417710.1016/j.apsusc.2022.154177 ↗
2. 10.1016/j.apsusc.2023.15831810.1016/j.apsusc.2023.158318 ↗
3. 10.1002/admi.20200123110.1002/admi.202001231 ↗
4. 10.1016/j.cej.2020.12616110.1016/j.cej.2020.126161 ↗
5. 10.1016/j.renene.2009.09.01310.1016/j.renene.2009.09.013 ↗
6. 10.1016/j.apsusc.2023.15919310.1016/j.apsusc.2023.159193 ↗
7. 10.1016/j.apsusc.2023.15820710.1016/j.apsusc.2023.158207 ↗
8. 10.1016/j.jallcom.2018.09.38010.1016/j.jallcom.2018.09.380 ↗
9. 10.1007/s10853-020-05459-910.1007/s10853-020-05459-9 ↗
10. 10.1016/j.cemconcomp.2023.10500510.1016/j.cemconcomp.2023.105005 ↗
11. 10.1016/j.coldregions.2013.10.00110.1016/j.coldregions.2013.10.001 ↗
12. 10.1016/j.colsurfa.2023.13192410.1016/j.colsurfa.2023.131924 ↗
13. 10.1016/j.conbuildmat.2021.12227310.1016/j.conbuildmat.2021.122273 ↗
14. 10.3390/ma1206091210.3390/ma12060912 ↗
15. 10.1016/S0169-8095(97)00057-410.1016/S0169-8095(97)00057-4 ↗
16. 10.1016/j.solener.2024.11238410.1016/j.solener.2024.112384 ↗
17. 10.1016/j.compscitech.2023.11034710.1016/j.compscitech.2023.110347 ↗
18. 10.1016/j.apsusc.2010.06.06210.1016/j.apsusc.2010.06.062 ↗
19. 10.1016/j.matdes.2017.12.01710.1016/j.matdes.2017.12.017 ↗
20. 10.1016/j.ces.2022.11801010.1016/j.ces.2022.118010 ↗
21. 10.1016/j.colsurfa.2023.13302810.1016/j.colsurfa.2023.133028 ↗
22. 10.1016/j.surfcoat.2023.13027310.1016/j.surfcoat.2023.130273 ↗
23. 10.1016/j.cej.2023.14392410.1016/j.cej.2023.143924 ↗
24. 10.1016/j.solmat.2024.11275610.1016/j.solmat.2024.112756 ↗
25. 10.1016/j.mtchem.2023.10186810.1016/j.mtchem.2023.101868 ↗
26. 10.1016/j.cej.2024.15024710.1016/j.cej.2024.150247 ↗
27. 10.1016/j.applthermaleng.2024.12249010.1016/j.applthermaleng.2024.122490 ↗
28. 10.1177/000370281773805610.1177/0003702817738056 ↗
29. 10.1016/j.cej.2021.13351010.1016/j.cej.2021.133510 ↗
30. 10.1021/acsami.1c1180210.1021/acsami.1c11802 ↗
31. 10.1021/acsomega.9b0220410.1021/acsomega.9b02204 ↗
32. 10.1016/j.solener.2024.11244410.1016/j.solener.2024.112444 ↗
33. 10.1016/j.matlet.2018.01.06210.1016/j.matlet.2018.01.062 ↗
34. 10.1039/D2NA00151A10.1039/D2NA00151A ↗
35. 10.1117/12.265807510.1117/12.2658075 ↗
36. 10.1016/j.energy.2023.12965610.1016/j.energy.2023.129656 ↗
37. 10.1016/j.cej.2021.13055310.1016/j.cej.2021.130553 ↗
38. 10.1002/adma.20231031210.1002/adma.202310312 ↗
39. 10.1021/acs.jpcc.5b0164810.1021/acs.jpcc.5b01648 ↗
40. 10.1002/adfm.20120206110.1002/adfm.201202061 ↗
41. 10.1021/acs.chemmater.7b0046110.1021/acs.chemmater.7b00461 ↗
42. 10.1021/nn302448n10.1021/nn302448n ↗
43. 10.1016/j.solmat.2022.11183810.1016/j.solmat.2022.111838 ↗
44. 10.1016/j.enbuild.2016.12.02710.1016/j.enbuild.2016.12.027 ↗
45. 10.1002/smll.20200042110.1002/smll.202000421 ↗
46. 10.1016/j.apmt.2019.10053310.1016/j.apmt.2019.100533 ↗
47. 10.1016/j.cej.2020.12731610.1016/j.cej.2020.127316 ↗
48. 10.1016/j.nanoen.2015.07.02710.1016/j.nanoen.2015.07.027 ↗
49. 10.1016/j.applthermaleng.2023.12048610.1016/j.applthermaleng.2023.120486 ↗
50. 10.1039/C8NR06738D10.1039/C8NR06738D ↗
51. 10.1021/ja805655b10.1021/ja805655b ↗
52. 10.1021/nl404777h10.1021/nl404777h ↗
53. 10.1021/nn403035s10.1021/nn403035s ↗
54. 10.1016/j.solmat.2019.11008410.1016/j.solmat.2019.110084 ↗
55. 10.1039/C5NR09144F10.1039/C5NR09144F ↗
56. 10.1039/D0MA00837K10.1039/D0MA00837K ↗
57. 10.1021/jp026731y10.1021/jp026731y ↗
58. 10.1016/j.porgcoat.2023.10766610.1016/j.porgcoat.2023.107666 ↗
59. 10.1007/s42114-022-00549-510.1007/s42114-022-00549-5 ↗