Superhydrophobic tin oxide nanostructures coated on copper plates: Wettability tuning by the etching medium
Source abstract
Abstract
Abstract In the current work, the chemical etching process and hydrothermal method were used to create bio‐inspired superhydrophobic fluorine‐free tin oxide nanostructures on copper plates. Taguchi's experimental design was also used in investigating coating wettability characteristics based on fabrication parameters. Statistical analysis results demonstrated that the optimal superhydrophobic sample with a water contact angle of 163.40° ± 1.42° and contact angle hysteresis of 3.00° ± 0.80° could be fabricated under the following conditions: sodium hydroxide (2.00 M) as an etching solution, urea‐to‐tin chloride ratio 2.5:1, and 2.00 h reaction times. The effects of each synthesis parameter on the obtained sample's superhydrophobicity were evaluated through multiple one‐variable‐at‐a‐time experiments. Testing the chemical stability of the optimal sample revealed that it was more resistant to deterioration in an alkaline environment (8–10) than in an acidic environment (4–6). The resulting superhydrophobic sample was analyzed by a delay test for water droplets freezing on its surface to determine whether ice formed and accumulated. The created bio‐inspired honeycomb‐like nanocoating demonstrated exceptional mechanical robustness and good anti‐icing performance after 10 consecutive icing cycles. These results indicated that superhydrophobic coatings could be easily and economically produced without using fluoropolymers and silanes on aluminum substrates.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Surface Modification and Superhydrophobicity · Icing and De-icing Technologies · Aerogels and thermal insulation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Nanomaterials and Surface Technology Research Laboratory School of Chemical Petroleum and Gas Engineering Iran University of Science and Technology Narmak Tehran Iran
Department of Chemical Engineering Faculty of Engineering Azarbaijan Shahid Madani University Tabriz Iran
Funding
Iran University of Science and Technology
References (59)
Show source-provided references
1. 10.1016/j.apsusc.2016.07.13810.1016/j.apsusc.2016.07.138 ↗
2. 10.1021/cr400083y10.1021/cr400083y ↗
3. 10.1016/j.surfcoat.2020.12545710.1016/j.surfcoat.2020.125457 ↗
4. 10.1039/TF944400054610.1039/TF9444000546 ↗
5. 10.1039/c0sm01504k10.1039/c0sm01504k ↗
6. 10.1007/s10832‐014‐9924‐210.1007/s10832‐014‐9924‐2 ↗
7. 10.1021/la051308c10.1021/la051308c ↗
8. 10.1021/am402531m10.1021/am402531m ↗
9. 10.1016/j.apsusc.2014.10.15610.1016/j.apsusc.2014.10.156 ↗
10. 10.1016/j.ceramint.2015.08.07310.1016/j.ceramint.2015.08.073 ↗
11. 10.1016/j.ceramint.2021.07.25010.1016/j.ceramint.2021.07.250 ↗
12. 10.1016/j.surfcoat.2021.12799210.1016/j.surfcoat.2021.127992 ↗
13. 10.1016/j.tsf.2014.08.04510.1016/j.tsf.2014.08.045 ↗
14. 10.1016/j.apsusc.2022.15559410.1016/j.apsusc.2022.155594 ↗
15. 10.1021/la301839a10.1021/la301839a ↗
16. Arianpour F · 2015
17. 10.1002/admi.20170083610.1002/admi.201700836 ↗
18. 10.1016/j.colsurfa.2021.12753210.1016/j.colsurfa.2021.127532 ↗
19. 10.1002/smll.20170186710.1002/smll.201701867 ↗
20. 10.1021/acsami.8b1120110.1021/acsami.8b11201 ↗
21. 10.1109/TPWRD.2006.87670510.1109/TPWRD.2006.876705 ↗
22. 10.1049/iet-gtd.2018.525810.1049/iet-gtd.2018.5258 ↗
23. 10.1016/j.jallcom.2018.06.04110.1016/j.jallcom.2018.06.041 ↗
24. 10.1016/j.jcis.2019.04.04010.1016/j.jcis.2019.04.040 ↗
25. 10.1016/j.surfcoat.2019.02.03510.1016/j.surfcoat.2019.02.035 ↗
26. 10.1002/adma.20110441210.1002/adma.201104412 ↗
27. 10.1021/acsnano.8b0954910.1021/acsnano.8b09549 ↗
28. 10.1016/j.matdes.2017.12.01710.1016/j.matdes.2017.12.017 ↗
29. Heydari G · 1
30. 10.1016/j.apt.2020.09.02910.1016/j.apt.2020.09.029 ↗
31. 10.1016/j.jcis.2015.12.01510.1016/j.jcis.2015.12.015 ↗
32. 10.1016/j.surfcoat.2020.12618010.1016/j.surfcoat.2020.126180 ↗
33. 10.1016/j.apsusc.2011.02.05710.1016/j.apsusc.2011.02.057 ↗
34. 10.1016/j.mee.2011.12.01210.1016/j.mee.2011.12.012 ↗
35. 10.1016/j.surfcoat.2021.12756010.1016/j.surfcoat.2021.127560 ↗
36. 10.1016/j.electacta.2012.04.02910.1016/j.electacta.2012.04.029 ↗
37. 10.1021/am900838z10.1021/am900838z ↗
38. 10.1021/jp107479710.1021/jp1074797 ↗
39. 10.1007/s00339‐006‐3659‐010.1007/s00339‐006‐3659‐0 ↗
40. 10.1002/adma.20080353610.1002/adma.200803536 ↗
41. 10.1016/j.mseb.2012.01.01110.1016/j.mseb.2012.01.011 ↗
42. 10.1143/JJAP.15.84310.1143/JJAP.15.843 ↗
43. 10.1016/j.ceramint.2020.12.08610.1016/j.ceramint.2020.12.086 ↗
44. Comparison of full versus fractional factorial experimental design for the prediction of cutting forces in turning of a titanium alloy: a case study
45. 10.1016/S0278‐6125(05)00004‐X10.1016/S0278‐6125(05)00004‐X ↗
46. 10.1080/00401706.1989.1048851910.1080/00401706.1989.10488519 ↗
47. Roy RK · 2010
48. Taguchi method and ANOVA: an approach for process parameters optimisation of hard machining while machining hardened steel
49. Roy RK · 1990
50. 10.1016/j.envres.2021.11158910.1016/j.envres.2021.111589 ↗
51. 10.1016/j.msec.2016.01.08710.1016/j.msec.2016.01.087 ↗
52. 10.4236/snl.2015.5400710.4236/snl.2015.54007 ↗
53. 10.1016/j.diamond.2005.08.01310.1016/j.diamond.2005.08.013 ↗
54. 10.1016/0022‐0728(82)85127‐910.1016/0022‐0728(82)85127‐9 ↗
55. 10.1016/j.apsusc.2014.05.03910.1016/j.apsusc.2014.05.039 ↗
56. 10.1016/j.apsusc.2017.05.25910.1016/j.apsusc.2017.05.259 ↗
57. 10.1016/j.apsusc.2016.06.12510.1016/j.apsusc.2016.06.125 ↗
58. 10.1016/j.apsusc.2013.07.11910.1016/j.apsusc.2013.07.119 ↗
59. 10.1007/s11998‐015‐9759‐z10.1007/s11998‐015‐9759‐z ↗