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中国腐蚀与防护学报  2026, Vol. 46 Issue (4): 1015-1030     CSTR: 32134.14.1005.4537.2025.292      DOI: 10.11902/1005.4537.2025.292
  研究报告 本期目录 | 过刊浏览 |
Mn2+304LC25不锈钢在高温硝酸中腐蚀行为的协同作用机制与响应曲面模型研究
孙欣1,2, 屈佳伟3, 高子淋3, 郑越3, 马爱利2(), 姚琳3(), 张连民2, 郑玉贵2
1.东北大学材料科学与工程学院 沈阳 110819
2.中国科学院金属研究所 中国科学院核用材料与安全评价重点实验室 沈阳 110016
3.中国核电工程有限公司 北京 100840
Mechanism and Response Surface Model for Effect of Mn2+ on 304L and C25 Stainless Steels in High-temperature Nitric Acid
SUN Xin1,2, QU Jiawei3, GAO Zilin3, ZHENG Yue3, MA Aili2(), YAO Lin3(), ZHANG Lianmin2, ZHENG Yugui2
1.School of Materials Science and Engineering, Northeastern University, Shenyang 110819, China
2.CAS Key Laboratory of Nuclear Materials and Safety Assessment, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
3.CNNC China Nuclear Power Engineering Co. Ltd., Beijing 100840, China
引用本文:

孙欣, 屈佳伟, 高子淋, 郑越, 马爱利, 姚琳, 张连民, 郑玉贵. Mn2+304LC25不锈钢在高温硝酸中腐蚀行为的协同作用机制与响应曲面模型研究[J]. 中国腐蚀与防护学报, 2026, 46(4): 1015-1030.
Xin SUN, Jiawei QU, Zilin GAO, Yue ZHENG, Aili MA, Lin YAO, Lianmin ZHANG, Yugui ZHENG. Mechanism and Response Surface Model for Effect of Mn2+ on 304L and C25 Stainless Steels in High-temperature Nitric Acid[J]. Journal of Chinese Society for Corrosion and protection, 2026, 46(4): 1015-1030.

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摘要: 

核乏燃料后处理设备长期暴露于高温浓硝酸环境,且过程中产生的Mn2+可能影响关键不锈钢结构材料的腐蚀行为。本文系统研究了温度(60 ℃至沸腾)、硝酸浓度(3~6 mol/L)及Mn2+浓度(0.1~10 g/L)三因素及其交互作用对304L和C25两种奥氏体不锈钢腐蚀行为的影响。通过电化学测试、浸泡实验、扫描电镜(SEM)和X射线光电子能谱(XPS)分析,并结合响应曲面法(RSM)建立预测模型。结果表明,温度与硝酸浓度是控制腐蚀行为的最主导因素,其升高显著加速阴极反应,导致腐蚀电流密度(Icorr)增大、极化电阻(Rp)降低;Mn2+离子作为次要促进因素,主要通过削弱钝化膜稳定性(尤其在中低酸度环境下)加剧腐蚀。XPS分析表明,高浓度Mn2+会导致304L不锈钢表面Fe含量降低、Cr氧化物富集。材料对比显示,C25不锈钢因更高的Cr、Ni含量及更低的杂质元素,在所有条件下均表现出优于304L不锈钢的耐蚀性。RSM模型成功量化了各因素及其交互作用的影响,确认影响显著性顺序为:温度>硝酸浓度≫ Mn2+浓度。本研究为后处理设备的选材优化与工艺参数安全窗口的确定提供了重要理论依据和数据支撑。

关键词 不锈钢硝酸Mn2+腐蚀速率极化电阻晶间腐蚀响应曲面法    
Abstract

Spent nuclear fuel reprocessing equipment is exposed to high-temperature concentrated nitric acid for extended durations, and the Mn2+ ions produced during the process may affect the corrosion behavior of key stainless steel structural materials. Herein, the effect of three factors, namely temperature (60 ℃ to boiling point), nitric acid concentration (3-6 mol/L), and Mn2+ ion concentration (0.1-10 g/L) of high-temperature concentrated nitric acid solutions, and their interactions on the corrosion behavior of 304L and C25 austenitic stainless steels was investigated via immersion test, electrochemical measurement, scanning electron microscopy (SEM), and X-ray photoelectron spectroscopy (XPS) analysis while a predictive model was established based on response surface methodology (RSM). The results show that temperature and nitric acid concentration are the dominant factors governing corrosion behavior, and their increase significantly accelerates the cathodic reaction, leading to an increase in corrosion current density (Icorr) and a decrease in polarization resistance (Rp). Mn2+ ions act as a secondary promoting factor, mainly by weakening the stability of the passive film (especially in medium and low acidity environments), thereby intensifying the corrosion. XPS analysis reveals that high concentrations of Mn2+ lead to a decrease in Fe content and enrichment of Cr oxides on the surface of 304L stainless steel. By comparing the corrosion characteristics of the two steels, it can be concluded that C25 stainless steel has better corrosion resistance than 304L in all conditions, these may be ascribed to higher Cr and Ni content and lower impurities for the C25 stainless steel. The RSM model successfully quantified the effect of each individual factor and their interactions and confirmed the order of the influence intensity of each factor as: temperature > nitric acid concentration ≫ Mn2+ concentration. The findings may provide a significant reference for the material selection and the determination of the safety window of process parameters for reprocessing equipment.

Key wordsstainless steel    nitric acid    Mn2+ ions    corrosion rate    polarization resistance    intergranular corrosion    response surface method
收稿日期: 2025-09-16      32134.14.1005.4537.2025.292
ZTFLH:  TG174  
基金资助:国家自然科学基金(52373321);中国科学院金属研究所创新基金(2023-PY03);中核集团领创科研项目(CNNC-LCKY-202274)
通讯作者: 马爱利,E-mail:alma@imr.ac.cn,研究方向为乏燃料后处理用材料腐蚀机理及耐蚀性设计;
姚琳,E-mail:yaolin@cnpe.cc,研究方向为乏燃料贮运及后处理设备设计和制造技术
Corresponding author: MA Aili, E-mail: alma@imr.ac.cn;
YAO Lin, E-mail: yaolin@cnpe.cc
作者简介: 孙 欣,男,2001年生,硕士生
SamplesFeCrNiSiMoMnCPS
304LBal.18.168.040.39-1.560.0180.0270.002
C25Bal.24.8021.54< 0.050.0310.34< 0.005< 0.005< 0.005
表1  C25和304L不锈钢的化学成分 (mass fraction / %)
图1  C25和304L不锈钢的金相组织
图2  电化学测试样品的结构示意图[18]
图3  C25和304L不锈钢在含有不同浓度Mn2+、不同温度的3 mol/L和6 mol/L硝酸溶液中的开路电位(OCP)测试结果
图4  C25和304L不锈钢在含有不同浓度Mn2+、不同温度的3和6 mol/L硝酸溶液中的动电位极化曲线
Temperature/ ℃Nitric acid concentration / mol·L-1Mn2+ ion concentration / g·L-1

Ecror, SCE

/ mV

Icorr/ μA·cm-2Rs/ Ω·cm2CPE/ Ω-1 s-n cm-2nRf/ Ω·cm2χ-2

Cef

/ F·cm-2

C258060.1838.011.140.329.71 × 10-50.9373947.00 × 10-36.68 × 10-5
1835.49.200.478.32 × 10-50.9393278.10 × 10-37.09 × 10-5
5834.415.740.351.05 × 10-40.9271372.96 × 10-37.39 × 10-5
10848.915.130.351.19 × 10-40.9159729.60 × 10-38.12 × 10-5
Boiling30.1582.70.760.363.19 × 10-50.97425007.96 × 10-33.21 × 10-5
1713.71.190.365.82 × 10-50.96177403.05 × 10-35.83 × 10-5
5715.80.990.406.20 × 10-50.96181306.53 × 10-36.23 × 10-5
10782.74.920.427.68 × 10-50.9592088.09 × 10-37.53 × 10-5
60.1879.258.220.301.74 × 10-40.9020599.14 × 10-31.55 × 10-4
1880.655.600.291.77 × 10-40.9019319.07 × 10-31.56 × 10-4
5880.350.470.301.75 × 10-40.8919158.72 × 10-31.53 × 10-4
10887.684.670.332.16 × 10-40.8915357.76 × 10-31.87 × 10-4
304L6030.1513.00.530.444.21 × 10-50.96595405.56 × 10-34.39 × 10-5
1631.80.860.746.00 × 10-50.95486606.39 × 10-46.34 × 10-5
5617.41.110.417.21 × 10-50.95361704.27 × 10-37.57 × 10-5
10625.81.140.416.97 × 10-50.95295105.82 × 10-37.21 × 10-5
60.1791.83.230.356.30 × 10-50.95172507.87 × 10-36.32 × 10-5
1793.33.610.397.28 × 10-50.95152006.96 × 10-37.32 × 10-5
5791.14.540.447.09 × 10-50.95140708.00 × 10-37.09 × 10-5
10794.93.810.477.17 × 10-50.94142407.04 × 10-37.18 × 10-5
8030.1705.41.340.697.42 × 10-50.94295701.14 × 10-37.78 × 10-5
1575.40.980.415.86 × 10-50.96301903.61 × 10-36.02 × 10-5
5563.81.090.416.25 × 10-50.96248004.95 × 10-36.37 × 10-5
10668.61.690.376.75 × 10-50.96207906.60 × 10-36.86 × 10-5
60.1834.814.180.338.69 × 10-50.9354859.15 × 10-38.25 × 10-5
1852.714.620.311.02 × 10-40.9248157.44 × 10-39.53 × 10-5
5851.814.520.321.14 × 10-40.9152053.46 × 10-31.08 × 10-4
10837.912.960.341.03 × 10-40.9346697.99 × 10-39.74 × 10-5
Boiling30.1668.93.070.365.79 × 10-50.96113406.33 × 10-35.69 × 10-5
1653.92.800.395.89 × 10-50.96102706.61 × 10-35.77 × 10-5
5714.12.440.415.90 × 10-50.95120605.93 × 10-35.80 × 10-5
10709.83.330.396.06 × 10-50.9696741.56 × 10-35.91 × 10-5
60.1876.678.880.281.38 × 10-40.9212369.36 × 10-31.17 × 10-4
1879.191.720.391.48 × 10-40.9112561.29 × 10-31.25 × 10-4
5875.479.290.761.67 × 10-40.9011779.89 × 10-31.41 × 10-4
10881.091.410.311.62 × 10-40.9111597.99 × 10-31.36 × 10-4
表2  C25和304L在含不同浓度Mn2+离子、不同温度的3 mol/L及6 mol/L硝酸溶液中的动电位极化曲线及EIS拟合结果
图5  C25和304L不锈钢在含不同浓度Mn2+、不同温度的3 mol/L和6 mol/L硝酸溶液中的电化学阻抗谱
图6  电化学阻抗分析的等效电路[18]
图7  C25和304L不锈钢在含有不同浓度Mn2+的沸腾6 mol/L硝酸溶液中浸泡96 h后的腐蚀速率
图8  C25和304L不锈钢在含有不同浓度Mn2+的沸腾6 mol/L硝酸溶液中浸泡96 h后的SEM像
图9  C25和304L不锈钢在含有不同浓度Mn2+的沸腾6 mol/L硝酸中浸泡96 h后表面各元素的XPS深度分布
图10  C25在含有不同浓度Mn2+的沸腾6 mol/L硝酸中浸泡96 h后表面溅射不同时间的Cr 2p、Fe 2p、Ni 2p和Mn 2p的精细谱
图11  304L在含有不同浓度Mn2+的沸腾6 mol/L硝酸中浸泡96 h后表面溅射不同时间的Cr 2p、Fe 2p、Ni 2p和Mn 2p的精细谱
FactorLow level (-1)Hight level(1)
A: temperature (℃)60Boiling
B: nitric acid concentration (mol/L)36
C: Mn2+ ion concentration (g/L)0.110
表3  实验影响因素及水平设计
NumberTemperature / ℃Nitric acid concentration / mol·L-1Mn2+ ion concentration / g·L-1Rp / Ω·cm-2
16030.1137300
2603194290
3603569840
46031060360
56060.119600
6606121320
7606517520
86061014400
98030.1141000
10803152650
11803522960
128031023110
138060.17394
1480619327
1580657137
16806105972
1711030.142500
181103117740
191103518130
201103109208
2111060.12059
22110611931
23110651915
241106101535
表4  C25不锈钢BBD模型的优化水平和Rp值
NumberTemperature / ℃Nitric acid concentration / mol·L-1Mn2+ ion concentration / g·L-1Rp / Ω·cm-2
16030.159540
2603148660
3603536170
46031029510
56060.117250
6606115200
7606514070
86061014240
98030.129570
10803130190
11803524800
128031020790
138060.15485
1480614815
1580655205
16806104669
1711030.111340
181103110270
191103512060
201103109674
2111060.11236
22110611256
23110651177
241106101159
表5  304L不锈钢BBD模型的优化水平和Rp值
SteelR2Adjusted R2Predicted R2Adeq precision
C250.82270.76020.684111.5855
304L0.94920.93130.879823.7552
表6  C25和304L两种不锈钢的回归系数
SourceF-valueP-value
Model13.15< 0.0001
A15.010.0012
B23.640.0001
C8.670.0091
AB7.10.0163
AC1.050.3191
BC7.530.0138
表7  C25不锈钢BBD模型回归方差分析
SourceF-valueP-value
Model52.97< 0.0001
A118.78< 0.0001
B123.36< 0.0001
C9.180.0076
AB21.650.0002
AC7.370.0147
BC7.730.0128
表8  304L不锈钢BBD模型回归方差分析
图12  C25和304L不锈钢模型对响应值的预测值和真实值的关系
图13  C25和304L不锈钢的Rp值的摄动图
图14  温度、Mn2+浓度和硝酸浓度两两交互作用对C25不锈钢Rp的影响图及其对应的响应值的等高线图
图15  温度、Mn2+浓度和硝酸浓度两两交互作用对304L不锈钢Rp的影响图及其对应的响应值的等高线图
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