支持向量回归预测不锈钢的点蚀电位

doi:10.12066/j.issn.1007-2861.2378

Abstract

Abstract:

Pitting corrosion is a primary corrosion type of stainless steel, and pitting potential is often used to evaluate the difficulty of corrosion of stainless steel. The pitting potential is affected by many factors. Based on the elemental composition and process parameters of stainless steel, support vector regression (SVR) was used to establish a model for predicting the pitting potential. The results showed that the correlation coefficient of the independent test set could reach 0.97 with the corresponding root mean square error (RMSE) of only 0.07. From the Pearson correlation analysis and sensitivity analysis, the element contents of Cr and Mo and the temperature had a crucial influence on the pitting potential, and a small amount of rare earth elements could improve the corrosion resistance of stainless steel.

Key words: stainless steel, pitting potential, machine learning (ML)

CLC Number:

TP 391

MAI Jiaqi, XU Pengcheng, DING Song, SUN Yangting, LU Wencong. Prediction of pitting potential for stainless steel by support vector regression[J]. Journal of Shanghai University（Natural Science Edition）, 2022, 28(3): 485-491.

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References 17

[1]	纪开强, 何兆如, 闫晓波, 等. 试验条件对动电位极化曲线测量不锈钢点蚀电位的影响[J]. 腐蚀与防护, 2021, 42(9): 7-10, 60.
[2]	邢易, 李树枝. 基于随机森林的点蚀电位预测[J]. 电焊机, 2020, 50(5): 45-49, 135.
[3]	田文明, 杜楠, 赵晴. 电子散斑干涉技术测量304 不锈钢点蚀电位的方法研究[J]. 中国腐蚀与防护学报, 2012, 32(5): 431-436.
[4]	纪开强, 李光福. 不锈钢点蚀电位测试标准及测试参数影响的研究[C]// 2020 第七届海洋材料与腐蚀防护大会暨 2020 第一届钢筋混凝土耐久性与设施服役安全大会摘要集. 2020: 128.
[5]	戴明杰, 刘静, 黄峰, 等. 基于正交方法研究阴极保护电位波动下 X100 管线钢的点蚀行为[J]. 中国腐蚀与防护学报, 2020, 40(5): 425-431.
[6]	樊学华, 于勇, 张子如, 等. 316L 奥氏体不锈钢在不同电位下的点蚀和再钝化行为研究[J]. 表面技术, 2020, 49(7): 287-293, 318.
[7]	陈越峰. Z3CN20.09M 不锈钢中 G 相对点蚀性能的影响[D]. 北京: 北京科技大学, 2019.
[8]	Tao Q L, Lu T, Sheng Y, et al. Machine learning aided design of perovskite oxide materials for photocatalytic water splitting[J]. Journal of Energy Chemistry, 2021, 60(9): 351-359. doi: 10.1016/j.jechem.2021.01.035
[9]	Yang C, Ren C, Jia Y F, et al. A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness[J]. Acta Materialia, 2022, 222: 117431. doi: 10.1016/j.actamat.2021.117431
[10]	陆文聪, 李国正, 刘亮, 等. 化学数据挖掘方法与应用[M]. 北京: 化学工业出版社, 2012.
[11]	邱彤. 基于支持向量回归估计算法的小样本集回归分析[J]. 现代化工, 2004, 24(S2): 160-162.
[12]	王志伟. 445J2 超纯铁素体不锈钢腐蚀行为研究[D]. 太原: 太原理工大学, 2021.
[13]	赵迪, 李光福, 纪开强, 等. 乏燃料池用 S32101/ER2209 双相不锈钢焊接板的点蚀行为[J]. 腐蚀与防护, 2019, 40(12): 861-870.
[14]	黄嘉琥, 付逸芳. 耐点蚀当量(PRE)与压力容器用超级不锈钢[J]. 压力容器, 2013, 30(4): 41-50.
[15]	金玉婷, 纪开强, 胡俊, 等. 环境因素对两种不锈钢在模拟海水中点蚀行为的影响[J]. 腐蚀与防护, 2018, 39(09): 663-667, 672.
[16]	熊刚. 稀土 La 和 Cu 对 S32205 双相不锈钢中夹杂物及其致点蚀微区活性的影响[D]. 武汉: 武汉科技大学, 2021.
[17]	吕嗣轩. 稀土元素 Ce/Y 对 Cf/5056Al 复合材料力学性能和耐腐蚀性能的影响[D]. 哈尔滨: 哈尔滨工业大学, 2021.

Prediction of pitting potential for stainless steel by support vector regression

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