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Corrigendum to “Redox mechanisms and metal fluoride stability in alkali fluoride corrosion -confirmed by experiment” [Corros. Sci. 260 (2026) 113538] “氟碱腐蚀中的氧化还原机制和金属氟的稳定性——经实验证实”的勘误表[腐蚀]。科学通报,260 (2026)113538]
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-17 DOI: 10.1016/j.corsci.2025.113562
Aida Nikbakht , Per Malmberg , Behnam Bahramian , Christine Geers
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引用次数: 0
Effect of scratching on the corrosion-assisted aging of slurry aluminide coating on 316LN stainless steel in oxygen-poor lead-bismuth eutectic at 550 °C 刮削对贫铅铋共晶316LN不锈钢浆液铝化物涂层550℃腐蚀时效的影响
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-16 DOI: 10.1016/j.corsci.2025.113563
Zhen Zeng , Xingyu Feng , Wen Wang , Jintao Lu , Jibo Tan , En-Hou Han , Wenjun Kuang
The FeAl coating demonstrates exceptional corrosion resistance in 550 °C Lead-Bismuth Eutectic (LBE) even at an ultra-low oxygen concentration of 10⁻⁹ wt% by forming a protective nanoscale alumina film. However, the leaching of Fe through alumina scale leads to the precipitation of η-Fe₂Al₅ phase in sub-surface region, especially along grain boundaries, which is considered the primary degradation mechanism of the coating in LBE. Approximately 10 % of the grain boundaries also formed intergranular pores. Scratching promotes the aging process of coating as it induces severe plastic deformation. Notably, recrystallization occurs in surface region, along with increased density and extent of precipitates in the deformation zone. Furthermore, the intergranular pores in the coating surface are effectively suppressed in the scratched area.
FeAl涂层在550°C铅铋共晶(LBE)中,即使在10 - 9 wt%的超低氧浓度下,也能形成纳米级氧化铝保护膜,表现出优异的耐腐蚀性。然而,Fe通过氧化铝垢的浸出导致亚表面区域,特别是沿晶界析出η-Fe₂Al₅相,这被认为是LBE中涂层的主要降解机制。约10 %的晶界还形成了粒间孔隙。刮擦会引起严重的塑性变形,从而促进涂层的老化过程。值得注意的是,变形区表面发生再结晶,析出相密度和范围增大。此外,涂层表面的晶间孔隙被有效地抑制在划痕区。
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引用次数: 0
An integral mechanistic model for the degradation and protection loss of Cr-coated zirconium alloys in steam oxidation environments 蒸汽氧化环境下cr包覆锆合金降解和保护损失的整体机理模型
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-16 DOI: 10.1016/j.corsci.2025.113565
Dongju Kim , Youho Lee
A mechanistic model to quantitatively predict steam oxidation-induced degradation of chromium (Cr) coatings on zirconium (Zr) alloys and corresponding rapid oxidation was developed and validated by comprehensively modeling each kinetic process responsible for degradation. The model was validated against isothermal oxidation data in the 1100–1300 °C range, in terms of layer thicknesses, oxidation weight gain, and oxygen distribution profiles in the Zr matrix. The developed model consists of four interconnected sub-models: (1) Transient Cr-coating thickness model. (2) Cr-coating grain boundary density model. (3) ZrO2 oxygen path in the Cr-coating grain boundary model. (4) Cr₂O₃ reduction and oxygen ingress model. At each time step, the model calculates both the Cr-coating thickness and the depth of ZrO₂ paths. When the ZrO₂ path depth exceeds the Cr-coating thickness, the simulation transitions to the Cr₂O₃ layer reduction phase. Once through‑oxide voids form, direct steam ingress and oxygen diffusion along the ZrO₂ paths are initiated; the resulting oxygen flux is imposed as boundary condition for transient oxygen diffusion in the Zr matrix. To capture spatial heterogeneity in microstructural evolution, the system is divided into regions based on grain boundary density, each simulated independently within a Monte Carlo framework. This probabilistic simulation explains the two-stage transition: statistical variations cause a slight initial rate increase from premature failures, while a macroscopic acceleration requires a statistically significant simultaneous failure of regions. The resulting model provides a robust tool for safety assessment, enabling quantitative prediction of cladding oxidation and embrittlement under the prolonged high-temperature steam conditions of various accident scenarios.
建立了蒸汽氧化诱导锆(Zr)合金上铬(Cr)涂层降解和相应的快速氧化机理模型,并通过对各降解动力学过程的综合建模进行了验证。该模型在1100-1300°C范围内的等温氧化数据中进行了验证,包括层厚度、氧化增重和Zr矩阵中的氧分布曲线。该模型由四个相互关联的子模型组成:(1)瞬态cr涂层厚度模型。(2) cr涂层晶界密度模型。(3) cr涂层晶界模型中的ZrO2氧路径。(4) Cr₂O₃还原和入氧模型。在每个时间步长,该模型同时计算cr涂层厚度和ZrO₂路径深度。当ZrO₂路径深度超过Cr-coating厚度时,模拟过渡到Cr₂O₃层还原阶段。一旦形成过氧化物空洞,蒸汽直接进入,氧气沿着ZrO₂路径扩散;得到的氧通量作为氧在Zr矩阵中瞬态扩散的边界条件。为了捕捉微观结构演变的空间异质性,系统根据晶界密度划分为区域,每个区域在蒙特卡罗框架内独立模拟。这种概率模拟解释了两阶段的转变:统计变化导致过早失效导致初始速率的轻微增加,而宏观加速需要统计上显著的区域同时失效。由此产生的模型为安全评估提供了一个强大的工具,可以定量预测各种事故场景下长时间高温蒸汽条件下的包层氧化和脆化。
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引用次数: 0
Oxide film formed on steel rebars in simulated concrete pore solution under large temperature difference – Typical in highlands and mountainous regions 在大温差下模拟混凝土孔隙溶液中钢筋上形成的氧化膜。高原和山区典型
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-16 DOI: 10.1016/j.corsci.2025.113564
Jinhang Li , Weichen Xu , Rongling Zhang , Liang Fan , Jingying Li , Jizhou Duan , Baorong Hou
Large temperature difference is typical in highlands and mountainous regions, where routine maintenance, monitoring and inspection are costly and difficult. The development of oxide film on HRB400E steel rebars from the initial to mature stages in simulated concrete pore solution has been thoroughly investigated. The electrochemical, compositional and morphological studies of the oxide film have been carried out at temperatures from −7 °C to 30 °C. High temperature disfavors the protectiveness of the oxide film, and the corrosion resistance decreases with the increasing temperature. Three plateaus have been observed during the development of OCP starting from a bare surface at 20 °C and 30 °C but not at lower temperatures. The plateaus have been ascribed to the nucleation, growth of Fe(OH)2 crystals and further oxidation to Fe(III) species. Thick, porous, inhomogeneous and clustered structure was observed at 30 °C, but thin and compact oxide film formed at 10 °C, 0 °C and −7 °C. It is suggested that high temperatures tend to lower the quality of the oxide film in a self-repair process.
大的温差是高原和山区的典型特征,这些地区的日常维护、监测和检查成本高昂且困难。研究了HRB400E钢筋在模拟混凝土孔隙溶液中氧化膜从初始阶段到成熟阶段的发展过程。在−7°C至30°C的温度下,对氧化膜进行了电化学、组成和形态学研究。高温不利于氧化膜的防护性,耐蚀性随温度升高而降低。在OCP的发展过程中,从20°C和30°C的裸表面开始观察到三个高原,但在较低的温度下没有。高原被认为是Fe(OH)2晶体的成核、生长和进一步氧化成Fe(III)的原因。在30°C时观察到厚、多孔、不均匀和簇状结构,而在10°C、0°C和- 7°C时形成薄而致密的氧化膜。结果表明,在自修复过程中,高温会降低氧化膜的质量。
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引用次数: 0
Liquid lead-bismuth eutectic corrosion of additively manufactured 316L stainless steels 添加剂制造的液体铅铋共晶腐蚀 316L不锈钢
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-15 DOI: 10.1016/j.corsci.2025.113559
Yingxi Li , Yuji Huang , Fanqiang Meng , Miao Song
Dissolution corrosion of structural materials in liquid lead–bismuth eutectic (LBE) remains challenging for advanced reactors. It is governed by chemical composition and microstructure. Additive manufacturing creates columnar grains, dislocation cells, and segregation, yet their corrosion impact is largely unexplored. Here, additively manufactured (AM) 316L stainless steel (SS) with varied Ni, Cr, Mo, Si, and Ti were fabricated by laser powder bed fusion and tested in as-built and fully recrystallized conditions after 1000 h in LBE at 550℃. Higher Ni favored primary austenite solidification and drove Cr and Mo segregation to dislocation cell boundaries, accelerating penetration along cellular paths. By contrast, additions of Cr, Si, Ti, or Mo shifted solidification toward primary ferrite, suppressed cellular segregation, refined grains, and promoted annealing twins, thereby mitigating preferential penetration. After LBE corrosion, alloys with added Si or Cr formed a continuous Cr-rich oxide scale, reducing ingress, and Ti alloying produced a duplex oxide with a Ti-rich outer layer and a Cr-rich inner layer that further blocked transport. Conversely, Mo impaired passivation and hindered continuous Cr-rich oxide formation, enabling ingress along random high angle grain boundaries and melt pool boundaries, and producing the deepest penetration. Full recrystallization across all compositions homogenized grain structures, increased low-energy twin boundaries, and reduced penetration depth. These findings demonstrate that raising Si and Cr while limiting Ni and Mo improves corrosion resistance in LBE, and Ti provides additional benefits through duplex oxide formation and grain refinement. Our work explores the compositional and microstructural space of AM 316L to improve resistance to LBE-induced dissolution.
结构材料在液态铅铋共晶(LBE)中的溶解腐蚀一直是先进反应堆面临的挑战。它是由化学成分和微观结构决定的。增材制造会产生柱状晶粒、位错细胞和偏析,但它们对腐蚀的影响在很大程度上尚未被探索。本文采用激光粉末床熔融法制备了含有不同Ni、Cr、Mo、Si和Ti的增材制造(AM) 316L不锈钢(SS),并在550℃LBE中1000 h后进行了原位再结晶测试。较高的Ni有利于初生奥氏体凝固,促使Cr和Mo偏析到位错晶胞边界,加速沿晶胞路径的渗透。相比之下,Cr、Si、Ti或Mo的添加使凝固向初生铁素体转变,抑制了细胞偏析,细化了晶粒,促进了退火孪晶,从而减轻了优先渗透。在LBE腐蚀后,加入Si或Cr的合金形成了连续的富Cr氧化层,减少了进入,而Ti合金化产生了富Ti外层和富Cr内层的双相氧化物,进一步阻碍了运输。相反,Mo破坏了钝化,阻碍了富cr氧化物的连续形成,使其能够沿着随机的高角度晶界和熔池边界进入,并产生最深的穿透。所有成分的完全再结晶均质化了晶粒结构,增加了低能孪晶界,减小了穿透深度。这些发现表明,在限制Ni和Mo的同时提高Si和Cr可以提高LBE的耐腐蚀性,而Ti通过双氧化物的形成和晶粒细化提供了额外的好处。我们的工作是探索AM 316L的组成和微观结构空间,以提高对lbe诱导溶解的抵抗力。
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引用次数: 0
Chameleon skin-inspired smart coating with hierarchical self-warning/self-healing functions for sequential damage-to-corrosion protection 变色龙皮肤启发的智能涂层,具有分层自我警告/自我修复功能,可进行顺序损伤到腐蚀保护
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-15 DOI: 10.1016/j.corsci.2025.113561
Yixin Chen , Zhiqiang Gao , Qian Wang , Lifeng Hou , Yinghui Wei
A smart protective coating with hierarchical self-warning and self-healing functions was developed by incorporating polyurethane/poly-(urea formaldehyde) (PUF) microcapsules loaded with anthocyanin (Anth) into a semi-interpenetrating polymer network (semi-IPN). The semi-IPN consists of hydrogen-bonded polyurethane (PU) and rigid epoxy resin (EP) network. The released anthocyanin not only provides distinct chromatic responses but also adsorbs onto the Mg surface to form protective complexes, exhibiting an inhibition efficiency of 94 %. XPS analysis elucidates the interfacial corrosion inhibition mechanism. This “one-molecule, multi-function” strategy offers a simplified method for achieving hierarchical functions against coating damage and substrate corrosion, showing significant potential for smart coatings.
将装载花青素(Anth)的聚氨酯/聚脲醛(PUF)微胶囊掺入半互穿聚合物网络(semi-IPN)中,开发了一种具有分层自预警和自修复功能的智能防护涂层。半ipn由聚氨酯(PU)和刚性环氧树脂(EP)网络组成。释放的花青素不仅具有明显的颜色反应,而且还吸附在Mg表面形成保护复合物,其抑制效率为94% %。XPS分析阐明了界面缓蚀机理。这种“单分子、多功能”的策略提供了一种简化的方法来实现分层功能,防止涂层损伤和基材腐蚀,显示出智能涂层的巨大潜力。
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引用次数: 0
Self-adaptive growth of fluorine-resistant coatings on magnesium alloy by in situ fluorine-induced phase reconstruction 原位氟诱导相重建法在镁合金上自适应生长耐氟涂层
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-15 DOI: 10.1016/j.corsci.2025.113560
Zishuo Ye , Shu Xiao , Hu Zhang , Luzhan Zhang , Qingdong Ruan , Chao Yang , Xiaoqin Zeng , Paul K. Chu
Stepwise plasma electrolytic fluorination (PEF) enhances the corrosion resistance of AZ91 magnesium (Mg) alloys in acidic fluoride environments by forming dense MgO/MgF2 composite coatings. The thermodynamically favored MgF2 formation and volume expansion seal surface defects and compensate for the weakness of oxide coatings. Molecular dynamics and density-functional theory calculations reveal that the more robust diffusion barriers, weak adsorption, and reduced electron transfer collectively inhibit fluorine corrosion. Additionally, strengthening of the interface-regulated corrosion product barrier alleviates internal stresses, prevents crack propagation, and preserves the structural integrity. The synergistic effects improve the coating durability and corrosion protection under aggressive acidic fluoride conditions.
逐步等离子体电解氟化(PEF)通过形成致密的MgO/MgF2复合涂层,提高AZ91镁合金在酸性氟化环境中的耐腐蚀性。热力学上有利于MgF2的形成和体积膨胀,密封表面缺陷,弥补氧化涂层的缺陷。分子动力学和密度泛函理论计算表明,更强大的扩散屏障,弱吸附和减少的电子转移共同抑制氟腐蚀。此外,界面调节腐蚀产物屏障的增强可以减轻内应力,防止裂纹扩展,并保持结构的完整性。协同作用提高了涂层在腐蚀性酸性氟条件下的耐久性和防腐蚀性能。
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引用次数: 0
Temperature-dependent oxide scale structure and corrosion behavior in alumina-forming austenitic steel exposed to liquid lead-bismuth eutectic containing 10−6 wt.% oxygen 含氧10 - 6 wt.%铅铋共晶液中铝形成奥氏体钢的温度依赖氧化垢结构和腐蚀行为
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-14 DOI: 10.1016/j.corsci.2025.113558
Decang Zhang , Xiaoxin Zhang , Jun Zhang , Hao Ren , Yingxue Chen , Feifei Zhang , Qingzhi Yan
Alumina-forming austenitic (AFA) steel shows promise due to its enhanced corrosion resistance. However, the effect of temperature on its corrosion behavior in lead-bismuth eutectic (LBE) remains poorly understood. In this study, AFA steel was exposed to LBE 10−6 wt% oxygen at 550, 600, and 650°C for 1700 h, and the detailed structure of the oxide scales was revealed by high-resolution characterization. At 550°C, a three-layer magnetite/Fe-Cr spinel/alumina scale was formed. As the temperature increased to 600°C, a chromia/alumina scale was developed due to Al being supplied by NiAl dissociation. At a further increased temperature of 650°C, the oxide scale became non-protective, thus LBE penetrated through the oxide scale into the underlying steel, causing the corrosion mode to shift from oxidation to discontinuous dissolution.
成铝奥氏体(AFA)钢因其增强的耐腐蚀性而具有广阔的应用前景。然而,温度对其在铅铋共晶(LBE)中的腐蚀行为的影响尚不清楚。在这项研究中,AFA钢在550、600和650°C、1700 h下暴露于LBE 10 - 6 wt%的氧气中,通过高分辨率表征揭示了氧化鳞片的详细结构。在550℃下,形成磁铁矿/Fe-Cr尖晶石/氧化铝三层鳞片。当温度升高到600℃时,由于NiAl解离提供Al,形成了铬/氧化铝垢。当温度进一步升高到650℃时,氧化皮不再具有保护作用,LBE通过氧化皮渗透到下层钢中,使腐蚀模式由氧化转变为不连续溶解。
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引用次数: 0
Machine learning-guided optimization of oxidation resistance in NbTiZr-containing refractory high-entropy alloys 基于机器学习的含nbtizr难熔高熵合金抗氧化性能优化
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-14 DOI: 10.1016/j.corsci.2025.113557
Ziqiang Dong , Xiaodong Yu , Qiliang Huang , Lei Dai , Zhengkun Mou , Chao Zhou , Hongyu Zhou , Yinsheng He , Wenyue Zheng , Lei Jin
The NbTiZr-containing refractory high-entropy alloys (RHEAs) are considered as promising materials for ultra-high-temperature engineering applications. However, their development is limited by inadequate oxidation resistance at elevated temperatures. In this work, the oxidation behavior of NbTiZr-containing RHEAs was investigated using a Machine Learning (ML) integrated approach. Among the classic ML algorithms evaluated, XGBoost demonstrates the highest prediction accuracy (R2 = 0.91). The interpretability of the ML model was enhanced using the SHAP (Shapley Additive Explanations) algorithm, which identified V, Mo, Nb, Zr, Al, Cr, Ta, Ti, Si, Hf, and W—ranked in descending order of influence—as the key elements governing the oxidation behavior of RHEAs. The results show that Cr, Si, Al, Ta, and Mo are the beneficial elements that improve the oxidation resistance, while Ti, Nb, V, and Zr impair it. Threshold content levels are observed for the different elements, beyond which the alloying effect becomes significant. The ML calculations revealed that excessive amounts of Ti or Zr impair the oxidation resistance of NbTiZr-containing RHEAs more evidently than that of Nb. Among the beneficial elements (Al, Cr, Si), Al shows the strongest positive effects. Al and Cr also demonstrate a strong synergistic effect in improving the oxidation resistance. Based on the ML results, the RHEAs with the composition of CrNbTiZrAl0.2Six (x = 0, 0.2 and 0.5) were designed, and their oxidation behavior in high-temperature air was comprehensively investigated.
含nbtizr的难熔高熵合金(RHEAs)是一种极具应用前景的超高温材料。然而,它们的发展受到高温下抗氧化能力不足的限制。在这项工作中,使用机器学习(ML)集成方法研究了含nbtizr的RHEAs的氧化行为。在评估的经典ML算法中,XGBoost的预测精度最高(R2 = 0.91)。使用Shapley加性解释(Shapley Additive Explanations)算法增强了ML模型的可解释性,该算法确定V、Mo、Nb、Zr、Al、Cr、Ta、Ti、Si、Hf和w是控制RHEAs氧化行为的关键元素,影响程度按降序排列。结果表明,Cr、Si、Al、Ta和Mo是提高合金抗氧化性能的有利元素,而Ti、Nb、V和Zr则对合金的抗氧化性能不利。观察了不同元素的阈值含量水平,超过该阈值,合金效应就变得显著。ML计算表明,过量的Ti或Zr对含nbtizr的RHEAs的抗氧化性的损害比Nb更明显。在有益元素(Al, Cr, Si)中,Al的积极作用最强。Al和Cr在提高抗氧化性能方面也表现出较强的协同效应。在此基础上,设计了以crnbtizral0.2 - six (x = 0,0.2和 0.5)为组成的RHEAs,并对其在高温空气中的氧化行为进行了全面研究。
{"title":"Machine learning-guided optimization of oxidation resistance in NbTiZr-containing refractory high-entropy alloys","authors":"Ziqiang Dong ,&nbsp;Xiaodong Yu ,&nbsp;Qiliang Huang ,&nbsp;Lei Dai ,&nbsp;Zhengkun Mou ,&nbsp;Chao Zhou ,&nbsp;Hongyu Zhou ,&nbsp;Yinsheng He ,&nbsp;Wenyue Zheng ,&nbsp;Lei Jin","doi":"10.1016/j.corsci.2025.113557","DOIUrl":"10.1016/j.corsci.2025.113557","url":null,"abstract":"<div><div>The NbTiZr-containing refractory high-entropy alloys (RHEAs) are considered as promising materials for ultra-high-temperature engineering applications. However, their development is limited by inadequate oxidation resistance at elevated temperatures. In this work, the oxidation behavior of NbTiZr-containing RHEAs was investigated using a Machine Learning (ML) integrated approach. Among the classic ML algorithms evaluated, XGBoost demonstrates the highest prediction accuracy (R<sup>2</sup> = 0.91). The interpretability of the ML model was enhanced using the SHAP (Shapley Additive Explanations) algorithm, which identified V, Mo, Nb, Zr, Al, Cr, Ta, Ti, Si, Hf, and W—ranked in descending order of influence—as the key elements governing the oxidation behavior of RHEAs. The results show that Cr, Si, Al, Ta, and Mo are the beneficial elements that improve the oxidation resistance, while Ti, Nb, V, and Zr impair it. Threshold content levels are observed for the different elements, beyond which the alloying effect becomes significant. The ML calculations revealed that excessive amounts of Ti or Zr impair the oxidation resistance of NbTiZr-containing RHEAs more evidently than that of Nb. Among the beneficial elements (Al, Cr, Si), Al shows the strongest positive effects. Al and Cr also demonstrate a strong synergistic effect in improving the oxidation resistance. Based on the ML results, the RHEAs with the composition of CrNbTiZrAl<sub>0.2</sub>Si<sub>x</sub> (x = 0, 0.2 and 0.5) were designed, and their oxidation behavior in high-temperature air was comprehensively investigated.</div></div>","PeriodicalId":290,"journal":{"name":"Corrosion Science","volume":"260 ","pages":"Article 113557"},"PeriodicalIF":7.4,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Iron dissolution kinetics of API 5CT C110 carbon steel in acidic environments: A numerical modelling approach API 5CT C110碳钢在酸性环境中的铁溶解动力学:数值模拟方法
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2025-12-13 DOI: 10.1016/j.corsci.2025.113554
P. Weerakkody, A. Al Helal, K. Wang
This study investigates the reaction kinetics of API 5CT C110 carbon steel dissolution in different acidic environments using electrochemical techniques. An optimal analysis time was determined, outside the active material dissolution and transient regions. Electrochemical impedance spectroscopy (EIS) at open-circuit potential revealed two distinct reaction time steps in the different acidic environments. The effects of anion concentrations on the reaction mechanisms were determined under accelerated anodic conditions. The findings demonstrate that reaction rates are influenced by the interdependence between surface potential and solution species. An alternative numerical modelling approach was developed for EIS data analysis, achieving an accuracy of 98.8 % for a three-time-step model, representing a previously unreported mechanistic step. Furthermore, the model accounts for the reactant concentrations that influence the reaction rates. This method improves accuracy, simplifies parameter optimisation, and enhances interpretability compared to conventional equivalent circuit fitting.
采用电化学技术研究了API 5CT C110碳钢在不同酸性环境下的溶解反应动力学。确定了在活性物质溶出和瞬态区域外的最佳分析时间。开路电位下的电化学阻抗谱(EIS)揭示了不同酸性环境下不同的反应时间步长。在加速阳极条件下,研究了阴离子浓度对反应机理的影响。结果表明,反应速率受表面电位和溶液种类的相互依赖关系的影响。为EIS数据分析开发了另一种数值模拟方法,对于三时间步模型,代表了以前未报道的机制步骤,其精度达到98.8 %。此外,该模型考虑了影响反应速率的反应物浓度。与传统等效电路拟合相比,该方法提高了精度,简化了参数优化,并增强了可解释性。
{"title":"Iron dissolution kinetics of API 5CT C110 carbon steel in acidic environments: A numerical modelling approach","authors":"P. Weerakkody,&nbsp;A. Al Helal,&nbsp;K. Wang","doi":"10.1016/j.corsci.2025.113554","DOIUrl":"10.1016/j.corsci.2025.113554","url":null,"abstract":"<div><div>This study investigates the reaction kinetics of API 5CT C110 carbon steel dissolution in different acidic environments using electrochemical techniques. An optimal analysis time was determined, outside the active material dissolution and transient regions. Electrochemical impedance spectroscopy (EIS) at open-circuit potential revealed two distinct reaction time steps in the different acidic environments. The effects of anion concentrations on the reaction mechanisms were determined under accelerated anodic conditions. The findings demonstrate that reaction rates are influenced by the interdependence between surface potential and solution species. An alternative numerical modelling approach was developed for EIS data analysis, achieving an accuracy of 98.8 % for a three-time-step model, representing a previously unreported mechanistic step. Furthermore, the model accounts for the reactant concentrations that influence the reaction rates. This method improves accuracy, simplifies parameter optimisation, and enhances interpretability compared to conventional equivalent circuit fitting.</div></div>","PeriodicalId":290,"journal":{"name":"Corrosion Science","volume":"260 ","pages":"Article 113554"},"PeriodicalIF":7.4,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145787247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Corrosion Science
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