TY - JOUR
T1 - Research on multi-scale failure model of epoxy coating based on EIS-EN combined monitoring and SiC@GO composite protection mechanism
AU - Tang, Jun
AU - Yu, Hao
AU - Qi, Fugang
AU - Zhang, Biao
AU - Zhao, Nie
AU - Ouyang, Xiaoping
N1 - Publisher Copyright:
© 2026 Elsevier Ltd.
PY - 2026/12/1
Y1 - 2026/12/1
N2 - Electrochemical impedance spectroscopy (EIS) and electrochemical noise (EN) each possess distinct advantages in coating corrosion research; however, the deep fusion of data from these two techniques and the correlation modeling with failure stages remain largely unexplored. This study employed in-situ synchronous monitoring technology combining EIS and EN to systematically track the long-term corrosion evolution of bare iron, pure epoxy coating, and SiC@GO/epoxy composite coating in 3.5 wt.% NaCl solution. Based on the synergistic evolution patterns of EIS frequency-domain parameters (phase angle inflection point, impedance modulus, CPE exponent n) and EN time-domain characteristics (current noise standard deviation σI, noise resistance Rn, pitting index PI), a novel "four-stage failure model" for coatings was innovatively constructed. The results demonstrated that the pure epoxy coating underwent a complete progression from initial protection, active zone formation, localized corrosion development, to ultimate failure; whereas the SiC@GO composite coating, benefiting from the synergistic effects of physical barrier and chemical cross-linking of multi-scale fillers, remained confined to the first two stages throughout the entire exposure period. Its impedance modulus is about four orders of magnitude higher than pure EP, and its current density is about four orders of magnitude lower. This study not only provides a new framework for EIS-EN multi-scale analysis but also offers theoretical guidance for the structural design of long-term anti-corrosion coatings.
AB - Electrochemical impedance spectroscopy (EIS) and electrochemical noise (EN) each possess distinct advantages in coating corrosion research; however, the deep fusion of data from these two techniques and the correlation modeling with failure stages remain largely unexplored. This study employed in-situ synchronous monitoring technology combining EIS and EN to systematically track the long-term corrosion evolution of bare iron, pure epoxy coating, and SiC@GO/epoxy composite coating in 3.5 wt.% NaCl solution. Based on the synergistic evolution patterns of EIS frequency-domain parameters (phase angle inflection point, impedance modulus, CPE exponent n) and EN time-domain characteristics (current noise standard deviation σI, noise resistance Rn, pitting index PI), a novel "four-stage failure model" for coatings was innovatively constructed. The results demonstrated that the pure epoxy coating underwent a complete progression from initial protection, active zone formation, localized corrosion development, to ultimate failure; whereas the SiC@GO composite coating, benefiting from the synergistic effects of physical barrier and chemical cross-linking of multi-scale fillers, remained confined to the first two stages throughout the entire exposure period. Its impedance modulus is about four orders of magnitude higher than pure EP, and its current density is about four orders of magnitude lower. This study not only provides a new framework for EIS-EN multi-scale analysis but also offers theoretical guidance for the structural design of long-term anti-corrosion coatings.
KW - Corrosion mechanism
KW - Corrosion prevention
KW - Electrochemical impedance spectroscopy
KW - Electrochemical noise
KW - Organic coatings
UR - https://www.scopus.com/pages/publications/105049561518
U2 - 10.1016/j.electacta.2026.149759
DO - 10.1016/j.electacta.2026.149759
M3 - 文章
AN - SCOPUS:105049561518
SN - 0013-4686
VL - 578
JO - Electrochimica Acta
JF - Electrochimica Acta
M1 - 149759
ER -