Journal
CORROSION SCIENCE
Volume 154, Issue -, Pages 80-89Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.corsci.2019.03.011
Keywords
Steel; Pitting corrosion; Mathematical model; Cellular automata; Parametric analyses
Funding
- National Natural Science Foundation of China [51878493, 51678437]
- Zhejiang Provincial Basic Public Welfare Research Project of China [LGF18E080002]
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The evolution laws of Q345 steel pitting corrosion are introduced using a salt-spray corrosion test. The number and maximum depth of corrosion pits are counted and a mathematical model is established. 3D cellular automata is adopted to reproduce the initiation and growth processes of corrosion pits simultaneously. The results demonstrate that the cellular automata model can better reflect the evolution randomness and time-dependent laws. Within the cellular automata model, the maximum depths are controlled mainly by the corrosion reaction probability P-c and probability of downward movement P-d, whereas the pitting shapes are governed by the passivation reaction probability P-p.
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