Modelling and Analysis of the Corrosion Characteristics of Ferritic-Martensitic Steels in Supercritical Water

被引：18
作者：
Li, Yanhui [1 ,2 ,3 ]
Xu, Tongtong [1 ]
Wang, Shuzhong [1 ]
Fekete, Balazs [2 ,3 ]
Yang, Jie [2 ,3 ]
Yang, Jianqiao [1 ]
Qiu, Jie [2 ,3 ]
Xu, Aoni [2 ,3 ]
Wang, Jiaming [2 ,3 ]
Xu, Yi [2 ,3 ]
Macdonald, Digby D. [2 ,3 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Energy & Power Engn, MOE, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China
[2] Univ Calif Berkeley, Dept Nucl Engn, Berkeley, CA 94720 USA
[3] Univ Calif Berkeley, Dept Mat Sci & Engn, Berkeley, CA 94720 USA
来源：
MATERIALS | 2019年 / 12卷 / 03期
基金：
中国国家自然科学基金;
关键词：
F-M steels; artificial neural network; fuzzy curve analysis; supercritical water; oxidation; weight gain; TEMPERATURE AQUEOUS CORROSION; OXIDATION BEHAVIOR; STAINLESS-STEEL; STEAM; GROWTH; MECHANISM; DIFFUSION; HCM12A; ALLOYS; PREDICTION;
D O I：
10.3390/ma12030409
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
The dependencies of weight gain of 9-12 Cr ferritic-martensitic steels in supercritical water on each of seven principal independent variables (temperature, oxygen concentration, flow rate, exposure time, and key chemical composition and surface condition of steels) have been predicted using a supervised artificial neural network (ANN). The relative significance of each independent variable was uncovered by fuzzy curve analysis, which ranks temperature and exposure time as the most important. The optimized ANN, not only satisfactorily represents the experimentally-known non-linear relationships between the corrosion characteristics of F-M steels and the key independent variables (demonstrating the effectiveness of this technique), but also predicts and reveals that the effects of oxygen concentration on the weight gains, to a certain degree, is influenced by the flow rate and temperature. Finally, according to the ANN predicted-results, departure of oxidation kinetics from the parabolic law, and basic cause of chromium content in steel substrate influencing the corrosion rate, and the synergetic effects of dissolved oxygen concentration, flow rate, and temperature, are discussed and analyzed.
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页数：20
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