TY - JOUR
T1 - The stochastic model of pitting corrosion of metals
AU - You, Y. H.
AU - Wang, B. R.
AU - Hu, H. Y.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/1/2
Y1 - 2018/1/2
N2 - Considering that pitting corrosion is a stochastic process, the purpose of this paper is to use stochastic theory to investigate the growth process of pitting corrosion of metals. Based on the mechanism of pit growth and nonequilibrium statistical theory, the time evolution equations of pit depth and corrosion rate are obtained, and the probability density function can be derived by solving Fock-Plank Equation. Subsequently, the failure probability or reliability of metals is calculated based on the weakest link model of pitting corrosion. Finally, the stochastic model is used on the aircraft aluminum alloy LD2. Furthermore, this methodology can be applied to analyze the reliability and predict the pitting life of metals.
AB - Considering that pitting corrosion is a stochastic process, the purpose of this paper is to use stochastic theory to investigate the growth process of pitting corrosion of metals. Based on the mechanism of pit growth and nonequilibrium statistical theory, the time evolution equations of pit depth and corrosion rate are obtained, and the probability density function can be derived by solving Fock-Plank Equation. Subsequently, the failure probability or reliability of metals is calculated based on the weakest link model of pitting corrosion. Finally, the stochastic model is used on the aircraft aluminum alloy LD2. Furthermore, this methodology can be applied to analyze the reliability and predict the pitting life of metals.
UR - http://www.scopus.com/inward/record.url?scp=85040736835&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/283/1/012012
DO - 10.1088/1757-899X/283/1/012012
M3 - Conference article
AN - SCOPUS:85040736835
SN - 1757-8981
VL - 283
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012012
T2 - 6th Global Conference on Materials Science and Engineering, CMSE 2017
Y2 - 24 October 2017 through 27 October 2017
ER -