Hexagonal Boron Nitride/Polyaniline Nanocomposites for Anticorrosive Waterborne Epoxy Coatings
Source abstract
Abstract
The hexagonal boron nitride (h-BN) nanosheets have been used as nanofillers to improve the barrier properties of the waterborne epoxy (WEP) coatings. However, the h-BN nanosheets tend to agglomerate, which limits their anticorrosion applications. In this paper, the h-BN/polyaniline (h-BN/PANI) nanocomposites were prepared by the in situ polymerization of aniline on the surfaces of the h-BN nanosheets, which were further used to improve the anticorrosion performance of the WEP coatings. The structures of the as-prepared h-BN/PANI nanocomposites were investigated by scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis, and X-ray photoelectron spectroscopy. The anticorrosion performances of the coatings were evaluated by electrochemical impedance spectroscopy. After immersion in 3.5 wt % NaCl solution for 28 days, the macro-morphologies and elemental changes of the substrate surfaces were analyzed by a 3D digital microscope and an energy-dispersive spectroscope, respectively. The results showed that the WEP coatings with the h-BN/PANI nanocomposites, especially that with 2 wt % h-BN/PANI nanocomposites, exhibited remarkably reinforced anticorrosion performance compared to the pure WEP coating. For the WEP coating, the coating with 1 wt % PANI, and the coating with 1 wt % h-BN, the substrates have been completely corroded. However, there was no obvious corrosion region for the coating containing 2 wt % h-BN/PANI nanocomposites. The superior anticorrosion performance of the coatings with h-BN/PANI nanocomposites was mainly attributed to the synergistic effect of the well-dispersed h-BN/PANI nanocomposites as the physical barrier and PANI as the corrosion inhibitor in this system.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Conducting polymers and applications · Corrosion Behavior and Inhibition · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The Institute of Seawater Desalination and Multipurpose Utilization, Ministry of Natural Resources (Tianjin), Tianjin 300192, China
Analysis and Measurement Center, Tianjin University, Tianjin 300072, China
Funding
High-level-innovation Talents in Science and Technology, MNR · Team Project using the Fundamental Research Funds for Central Scientific Research Institutions
References (75)
Show source-provided references
1. 10.1016/j.reactfunctpolym.2020.10474110.1016/j.reactfunctpolym.2020.104741 ↗
2. 10.1007/s42114-021-00265-610.1007/s42114-021-00265-6 ↗
3. 10.30919/esmm5f92510.30919/esmm5f925 ↗
4. 10.1007/s42114-020-00179-910.1007/s42114-020-00179-9 ↗
5. 10.30919/es8d112010.30919/es8d1120 ↗
6. 10.1007/s42114-020-00166-010.1007/s42114-020-00166-0 ↗
7. 10.1016/j.jmst.2020.05.00210.1016/j.jmst.2020.05.002 ↗
8. 10.1016/j.porgcoat.2019.04.01610.1016/j.porgcoat.2019.04.016 ↗
9. 10.1016/j.apsusc.2017.08.22410.1016/j.apsusc.2017.08.224 ↗
10. 10.1016/j.corsci.2018.01.04610.1016/j.corsci.2018.01.046 ↗
11. 10.1016/s0300-9440(97)00062-310.1016/s0300-9440(97)00062-3 ↗
12. 10.1016/j.porgcoat.2016.12.02710.1016/j.porgcoat.2016.12.027 ↗
13. 10.30919/esee8c47610.30919/esee8c476 ↗
14. 10.30919/es8d54010.30919/es8d540 ↗
15. 10.30919/esmm5f92710.30919/esmm5f927 ↗
16. 10.1016/j.jiec.2020.04.02910.1016/j.jiec.2020.04.029 ↗
17. 10.30919/esmm5f91210.30919/esmm5f912 ↗
18. 10.1016/j.cej.2017.10.17210.1016/j.cej.2017.10.172 ↗
19. 10.1016/j.cej.2019.05.03410.1016/j.cej.2019.05.034 ↗
20. 10.30919/esee8c43410.30919/esee8c434 ↗
21. 10.30919/esmm5f48610.30919/esmm5f486 ↗
22. 10.1016/j.reactfunctpolym.2019.10440510.1016/j.reactfunctpolym.2019.104405 ↗
23. 10.1016/j.corsci.2020.10906410.1016/j.corsci.2020.109064 ↗
24. 10.1016/j.synthmet.2019.11624910.1016/j.synthmet.2019.116249 ↗
25. 10.30919/es8d90310.30919/es8d903 ↗
26. 10.30919/es8d44610.30919/es8d446 ↗
27. 10.30919/esee8c93410.30919/esee8c934 ↗
28. 10.1007/s42114-021-00279-010.1007/s42114-021-00279-0 ↗
29. 10.1016/j.matchemphys.2017.12.02510.1016/j.matchemphys.2017.12.025 ↗
30. 10.30919/esmm5f19510.30919/esmm5f195 ↗
31. 10.1016/j.porgcoat.2020.10559110.1016/j.porgcoat.2020.105591 ↗
32. 10.1016/j.apsusc.2020.14884910.1016/j.apsusc.2020.148849 ↗
33. 10.1021/am400016y10.1021/am400016y ↗
34. 10.1016/j.porgcoat.2020.10571310.1016/j.porgcoat.2020.105713 ↗
35. 10.1002/tcr.20200007910.1002/tcr.202000079 ↗
36. 10.30919/esmm5f19910.30919/esmm5f199 ↗
37. 10.1007/s42114-021-00208-110.1007/s42114-021-00208-1 ↗
38. 10.1016/j.corsci.2017.11.02210.1016/j.corsci.2017.11.022 ↗
39. 10.1016/j.porgcoat.2019.04.04010.1016/j.porgcoat.2019.04.040 ↗
40. 10.1016/j.surfcoat.2021.12727310.1016/j.surfcoat.2021.127273 ↗
41. 10.1016/j.compositesa.2018.04.02110.1016/j.compositesa.2018.04.021 ↗
42. 10.1016/j.surfcoat.2020.12568210.1016/j.surfcoat.2020.125682 ↗
43. 10.1016/j.cej.2017.07.16210.1016/j.cej.2017.07.162 ↗
44. 10.1021/acs.iecr.0c0451010.1021/acs.iecr.0c04510 ↗
45. 10.1007/s42114-019-00103-w10.1007/s42114-019-00103-w ↗
46. 10.30919/es5e100710.30919/es5e1007 ↗
47. 10.1007/s42114-021-00211-610.1007/s42114-021-00211-6 ↗
48. 10.30919/es8d126310.30919/es8d1263 ↗
49. 10.1021/am200488m10.1021/am200488m ↗
50. 10.1016/j.porgcoat.2012.06.00310.1016/j.porgcoat.2012.06.003 ↗
51. 10.1016/j.porgcoat.2019.10546210.1016/j.porgcoat.2019.105462 ↗
52. 10.30919/esmm5f73210.30919/esmm5f732 ↗
53. 10.1007/s42114-021-00242-z10.1007/s42114-021-00242-z ↗
54. 10.1016/j.mtphys.2021.10050210.1016/j.mtphys.2021.100502 ↗
55. 10.1007/s42114-021-00236-x10.1007/s42114-021-00236-x ↗
56. 10.1016/j.electacta.2007.12.06910.1016/j.electacta.2007.12.069 ↗
57. 10.1016/j.porgcoat.2016.12.01610.1016/j.porgcoat.2016.12.016 ↗
58. 10.1016/j.porgcoat.2019.04.01110.1016/j.porgcoat.2019.04.011 ↗
59. 10.1016/j.jmst.2019.06.01210.1016/j.jmst.2019.06.012 ↗
60. 10.1016/j.porgcoat.2018.05.00610.1016/j.porgcoat.2018.05.006 ↗
61. 10.1016/j.synthmet.2019.03.00110.1016/j.synthmet.2019.03.001 ↗
62. 10.1016/j.surfcoat.2018.01.05010.1016/j.surfcoat.2018.01.050 ↗
63. 10.1021/acsomega.8b0231610.1021/acsomega.8b02316 ↗
64. 10.1016/j.apsusc.2020.14554310.1016/j.apsusc.2020.145543 ↗
65. 10.1016/j.apsusc.2016.11.14110.1016/j.apsusc.2016.11.141 ↗
66. 10.1021/am201008n10.1021/am201008n ↗
67. 10.1016/j.porgcoat.2020.10554110.1016/j.porgcoat.2020.105541 ↗
68. 10.1021/acs.iecr.0c0246010.1021/acs.iecr.0c02460 ↗
69. 10.1016/j.porgcoat.2015.07.00910.1016/j.porgcoat.2015.07.009 ↗
70. 10.1021/acsanm.0c0316210.1021/acsanm.0c03162 ↗
71. 10.1021/acssuschemeng.9b0179610.1021/acssuschemeng.9b01796 ↗
72. 10.1016/j.porgcoat.2021.10613310.1016/j.porgcoat.2021.106133 ↗
73. 10.1016/j.electacta.2018.01.12110.1016/j.electacta.2018.01.121 ↗
74. 10.1016/j.cej.2017.03.06110.1016/j.cej.2017.03.061 ↗
75. 10.1016/j.porgcoat.2019.10543010.1016/j.porgcoat.2019.105430 ↗