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Early-stage corrosion sensing via sequential fluorescence from sol-gel and ZnO layers: Self-healing ZIF-8 film-based composite coatings for aluminum alloys 通过溶胶-凝胶和ZnO层的顺序荧光进行早期腐蚀传感:铝合金的自修复ZIF-8膜基复合涂层
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-05-01 Epub Date: 2026-02-11 DOI: 10.1016/j.corsci.2026.113705
Chenkai Xu , Zhe Zhang , Valeryia Kasneryk , Dongmei Zeng , Jiaqi Hu , Shangbin Wen , Qiang Wang , You Zhang
The critical need for smart coatings integrating real-time corrosion diagnostics and self-repair remains unmet due to the monofunctionality of conventional barrier systems. Within this study a hierarchical composite coating consisting of vertically aligned ZnO nanorod arrays, a ZIF-8 film, and a silane sol-gel layer was developed, which combines multiscale functionalities through interfacial confinement design. Fluorescence transitions from sol-gel layer to ZnO layer (475–550 nm) enable real-time monitoring of corrosion progress. The ZIF-8 layer presented in the coating serves two roles: as nanocontainers, it encapsulates external corrosion inhibitor 2-mercaptobenzothiazole, and it acts as an intrinsic inhibitor through its 2-methylimidazole ligands, enabling in this way synergistic self-healing properties. Scanning Kelvin Probe analysis confirms the self-repair mechanism, demonstrating a 500 mV reduction in potential disparity between damaged and intact regions. The coating with multifunctional architecture developed in the frame of the current study establishes a paradigm for smart corrosion protection systems by combining molecular-scale response with macroscopic durability.
由于传统屏障系统的单一性,对集成实时腐蚀诊断和自我修复的智能涂层的迫切需求仍然没有得到满足。在本研究中,通过界面约束设计,开发了由垂直排列的ZnO纳米棒阵列、ZIF-8薄膜和硅烷溶胶-凝胶层组成的分层复合涂层,该涂层结合了多尺度功能。从溶胶-凝胶层到ZnO层(475-550 nm)的荧光跃迁可以实时监测腐蚀过程。涂层中的ZIF-8层有两个作用:作为纳米容器,它封装了外部缓蚀剂2-巯基苯并噻唑,并通过其2-甲基咪唑配体作为内禀缓蚀剂,以这种方式实现协同自愈特性。扫描开尔文探针分析证实了自我修复机制,显示受损区域和完整区域之间的电位差降低了500 mV。在当前研究框架内开发的具有多功能结构的涂层通过将分子尺度响应与宏观耐久性相结合,为智能腐蚀防护系统建立了一个范例。
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引用次数: 0
Needle-punched preform orientation governs cyclic ablation resistance of C/C–HfC–SiC composite leading edges 针冲预制体取向决定了C/C - hfc - sic复合材料前缘的抗循环烧蚀性能
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-05-01 Epub Date: 2026-02-08 DOI: 10.1016/j.corsci.2026.113703
Wei Li , Junshuai Lv , Jianhua Zhang , Junhao Zhao , Hanzhou Li , Xiaohong Shi , Hejun Li
Ultra-high-temperature ceramic-modified 2.5D needle-punched carbon/carbon (C/C) composites, known for their high-temperature strength and ablation resistance, are promising candidates for the sharp leading edges (SLEs) of advanced aircraft. However, the needle-punched architecture and the associated ceramic networks introduce anisotropy in thermal and oxidation responses. Here, three C/C–HfC–SiC SLEs with distinct preform orientations were fabricated via precursor infiltration and pyrolysis to investigate how the matching between preform orientation and heat flux governs heat transfer, oxidation, and failure modes. The best-aligned configuration exhibited outstanding cyclic ablation resistance, retaining its sharp geometry after five ablation cycles (600 s in total, ∼2700 °C) with a linear recession rate of only 0.03 µm s−1. Thermal-transport analysis revealed its highly efficient heat dissipation, which alleviated tip overheating. The extensive ceramic coverage on its windward surface, together with the continuous oxide scales connected by needle-introduced ceramics, forms a protective ceramic network that preserves the structural integrity of the SLE. These results identify orientation–heat-flux matching as a key factor for durable ablation protection and improved reliability of C/C-based SLEs.
超高温陶瓷改性2.5D针刺碳/碳(C/C)复合材料以其高温强度和抗烧蚀性而闻名,是先进飞机尖锐前缘(SLEs)的有希望的候选者。然而,针刺结构和相关的陶瓷网络在热响应和氧化响应中引入了各向异性。本文通过前驱体渗透和热解制备了3种具有不同预成型取向的C/C - hfc - sic SLEs,以研究预成型取向和热流密度之间的匹配如何影响传热、氧化和破坏模式。最佳排列结构表现出出色的抗循环烧蚀性能,在5次烧蚀循环(总共600 s, ~ 2700°C)后保持其尖锐的几何形状,线性衰退率仅为0.03 µm s−1。热输运分析表明其具有良好的散热效果,有效地缓解了叶片过热问题。迎风表面广泛覆盖的陶瓷,以及由针状陶瓷连接的连续氧化层,形成了一个保护性的陶瓷网络,保持了SLE的结构完整性。这些结果表明,取向-热流通量匹配是C/C基SLEs持久烧蚀保护和提高可靠性的关键因素。
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引用次数: 0
Mechanistic insights into γ/γ′-NiPt-diffused coating: Improved oxidation resistance and coating/substrate compatibility γ/γ′- npt扩散涂层的机理:提高抗氧化性和涂层/基材相容性
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-05-01 Epub Date: 2026-02-08 DOI: 10.1016/j.corsci.2026.113704
Yuanhang Wang , Wei Li , Lianjun Fan , Ao Zhang , Hengyi Lv , Xianliang Li , Ri Sun , Sumeng Jiang , Jun Gong , Chao Sun
γ/γ′-NiPt-diffused coating was developed via a combined electroplating and arc ion plating (AIP) technique. Its isothermal oxidation behavior at 1100 ℃ was investigated and compared with that of γ/γ′-Pt-diffused coating. The results revealed that the γ/γ′-NiPt-diffused coating, with a higher Al content and free of refractory elements, exhibited significantly improved oxidation resistance and effectively suppressed recrystallization of the single crystal superalloy. Furthermore, the mechanism by which Pt induces recrystallization in single crystal superalloy was also discussed. The findings provide scientific guidance for the design of γ/γ′ coatings with improved oxidation resistance and coating/substrate compatibility.
采用电镀和电弧离子镀(AIP)相结合的方法制备了γ/γ′- nipt扩散涂层。研究了其在1100℃的等温氧化行为,并与γ/γ′- pt扩散涂层进行了比较。结果表明:γ/γ′- nipt扩散涂层具有较高的Al含量和不含难熔元素,显著提高了合金的抗氧化性,有效抑制了单晶高温合金的再结晶。此外,还讨论了Pt诱导单晶高温合金再结晶的机理。研究结果为设计具有更好的抗氧化性能和涂层/基体相容性的γ/γ′涂层提供了科学指导。
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引用次数: 0
The anaerobic hydrogen cycling process of Exiguobacterium acetylicum regulated by electron acceptor and redox mediators accelerates the microbiologically influenced corrosion of Q235 steel: An environmental analysis result 电子受体和氧化还原介质调控的乙酰出口杆菌厌氧氢循环过程加速了Q235钢的微生物影响腐蚀:环境分析结果
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-05-01 Epub Date: 2026-01-22 DOI: 10.1016/j.corsci.2026.113640
Ding Guo , Jia Liu , Xiaofan Zhai , Yanan Wang , Fang Guan , Jizhou Duan , Baorong Hou
Environmental analysis was employed to assess the pitting corrosion acceleration mechanism of an anaerobic nitrate-reducer Exiguobacterium acetylicum on Q235 steel (Pitmax=29 μm). The metabolic corrosion process of microbial extracellular electron transfer was re-evaluated through chemical thermodynamic and kinetic calculations. E. acetylicum accelerated cathodic hydrogen depolarization corrosion of steel by coupling hydrogenase with the oxidation-reduction of quinones in the cell membrane to achieve hydrogen cycling on the steel surface. Lithotrophic E. acetylicum promoted hydrogen evolution between ferrite phases on the iron surface, thereby enhancing denitrification and nitrogen removal processes and increasing corrosion loss.
采用环境分析方法,研究厌氧硝酸盐还原剂乙酰Exiguobacterium acetylicum对Q235钢(Pitmax=29 μm)的点蚀加速机理。通过化学热力学和动力学计算,重新评价了微生物胞外电子传递的代谢腐蚀过程。E. acetylicum通过将氢化酶与细胞膜上醌的氧化还原偶联来加速钢的阴极氢去极化腐蚀,实现钢表面的氢循环。Lithotrophic E. acetyum促进了铁表面铁素体相之间的析氢,从而增强了脱氮脱氮过程,增加了腐蚀损失。
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引用次数: 0
In-situ assessment of slag corrosion on refractories based on HT-DIC: A novel multi-dimensional index with corrosion severity 基于HT-DIC的耐火材料炉渣腐蚀现场评价:一种新的反映腐蚀严重程度的多维指标
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-04-15 Epub Date: 2026-01-23 DOI: 10.1016/j.corsci.2026.113647
Chenchen Liu , Ao Huang , Shenghao Li , Haitao Chen , Jiarun Wang , Bochen Li , Xinyu Chen , Huazhi Gu
Refractory integrity is critical to the safe and stable operation of high-temperature metallurgical equipment, yet slag corrosion behavior of refractory castables under thermo–chemo–mechanical (TCM) conditions is difficult to characterize by conventional post-mortem methods because transient penetration, interfacial dissolution and reaction-product growth occur simultaneously and evolve with time. In this study, the high-temperature digital image correlation (HT-DIC) was applied and a corrosion severity index (CSI) was proposed and verified for in-situ, full-field and quantitative analysis of slag corrosion of the refractory castables with CSI contour maps and the corresponding full-field average CSI curves, thereby a novel multi-dimensional assessment criterion was established. Compared with the Al2O3–MgO castables, the CeO2/La2O3 containing refractory castables exhibit earlier reaction activation but slower late-stage degradation with corrosion index, penetration index and CSI every 0.5 h. Thus, the in-situ assessment with CSI provides a more accurate guidance for comparing slag corrosion resistance among different refractory castables and revealing corrosion or resistance mechanisms.
耐火材料的完整性对高温冶金设备的安全稳定运行至关重要,但由于热化学机械(TCM)条件下耐火浇注料的瞬态渗透、界面溶解和反应产物生长同时发生并随时间演变,因此很难用常规的事后分析方法来表征其渣腐蚀行为。本研究应用高温数字图像相关技术(HT-DIC),提出并验证了腐蚀严重程度指数(CSI),利用CSI等高线图和相应的现场平均CSI曲线对耐火浇注料的渣腐蚀进行现场、现场和定量分析,从而建立了一种新的多维度评价标准。与Al2O3-MgO浇注料相比,含CeO2/La2O3的耐火浇注料反应活化早,后期降解慢,腐蚀指数、渗透指数和CSI均为0.5 h。因此,CSI现场评价为比较不同耐火浇注料的抗渣性,揭示耐蚀机理提供了更准确的指导。
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引用次数: 0
Enhanced thermal stability and oxidation resistance by coherent interfaces of oxide/nitride sublayers in self-organized nano-multilayer oxynitride coatings 自组织纳米多层氮化氧涂层中氧化物/氮化物亚层的相干界面增强了热稳定性和抗氧化性
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-04-15 Epub Date: 2026-01-22 DOI: 10.1016/j.corsci.2026.113649
Teng Fei Zhang , Ze Zhang , Peng Jin , Mingdi Wen , Qimin Wang , Shihong Zhang
To overcome performance limitations of conventional nitride/oxide PVD coatings, this study employs arc ion plating to fabricate periodic N-rich/O-rich nanomultilayer oxynitride coatings, driven by spatial plasma distribution gradient in vacuum chamber and differential reactivity of nitrogen/oxygen species. The optimized (Al0.41Cr0.53Si0.06)0.50(O0.19N0.81)0.50 coating retains fcc-AlCrON primary phase stability after annealing at 1100 ℃, suppressing Cr-N bond dissociation and formation of w-AlN soft phases. Thermal activation promotes Al diffusion into O-rich sublayers and Cr enrichment in N-rich sublayers, enabling fully coherent interfaces across the Al/O-rich and Cr/N-rich multilayers. During isothermal oxidation at 1000 ℃, a protective three-layered oxide scale forms on the coating surface, consisting of an outer θ-Al2O3 layer, a subsurface fcc-(Cr,Al)2O3 layer, and an oxygen-penetration zone. This structure exhibits the lowest onset temperature for accelerated oxidation and minimal oxidation depth, attributed to multiple synergistic mechanisms: rapid nucleation and growth of protective oxide layer facilitated by initial Al-O and Cr-O bonding networks, a “labyrinth” nano-multilayers that prolongs O2- diffusion pathways, and thermally induced coherent Al/O-rich and Cr/N-rich interfaces that establish energy barriers against O2- inward diffusion and metal cation outward migration. However, excessive oxygen doping promotes amorphization and reduces the modulation ratio, impairing coherent interface formation and degrading oxidation resistance. This work elucidates the critical roles of compositional design and interfacial coherence in tailoring high-temperature performance of oxynitride coatings, providing a strategic pathway for developing advanced protective coatings for extreme environments.
为了克服传统氮化物/氧化物PVD涂层的性能限制,利用真空室等离子体空间分布梯度和氮/氧的差异反应性,采用电弧离子镀制备了富n/富o的周期性纳米多层氮化物涂层。优化后的涂层(Al0.41Cr0.53Si0.06)0.50(O0.19N0.81)0.50在1100℃退火后保持了fcc-AlCrON初相的稳定性,抑制了Cr-N键的解离和w-AlN软相的形成。热活化促进Al向富o亚层扩散,Cr在富n亚层富集,从而实现富Al/ o和富Cr/ n多层之间的完全相干界面。在1000℃等温氧化过程中,涂层表面形成了一层保护性的三层氧化膜,由表层θ-Al2O3层、表层fcc-(Cr,Al)2O3层和透氧区组成。这种结构表现出加速氧化的最低起始温度和最小氧化深度,归因于多种协同机制:由初始Al- o和Cr- o键网络促进的保护氧化层的快速成核和生长,延长O2-扩散途径的“迷宫”纳米多层,以及热诱导的富Al/ o和富Cr/ n界面建立能量屏障,阻止O2-向内扩散和金属阳离子向外迁移。然而,过量的氧掺杂促进了非晶化,降低了调制比,损害了相干界面的形成,降低了抗氧化性。这项工作阐明了成分设计和界面一致性在定制氮化氧涂层高温性能中的关键作用,为开发先进的极端环境保护涂层提供了战略途径。
{"title":"Enhanced thermal stability and oxidation resistance by coherent interfaces of oxide/nitride sublayers in self-organized nano-multilayer oxynitride coatings","authors":"Teng Fei Zhang ,&nbsp;Ze Zhang ,&nbsp;Peng Jin ,&nbsp;Mingdi Wen ,&nbsp;Qimin Wang ,&nbsp;Shihong Zhang","doi":"10.1016/j.corsci.2026.113649","DOIUrl":"10.1016/j.corsci.2026.113649","url":null,"abstract":"<div><div>To overcome performance limitations of conventional nitride/oxide PVD coatings, this study employs arc ion plating to fabricate periodic N-rich/O-rich nanomultilayer oxynitride coatings, driven by spatial plasma distribution gradient in vacuum chamber and differential reactivity of nitrogen/oxygen species. The optimized (Al<sub>0.41</sub>Cr<sub>0.53</sub>Si<sub>0.06</sub>)<sub>0.50</sub>(O<sub>0.19</sub>N<sub>0.81</sub>)<sub>0.50</sub> coating retains fcc-AlCrON primary phase stability after annealing at 1100 ℃, suppressing Cr-N bond dissociation and formation of w-AlN soft phases. Thermal activation promotes Al diffusion into O-rich sublayers and Cr enrichment in N-rich sublayers, enabling fully coherent interfaces across the Al/O-rich and Cr/N-rich multilayers. During isothermal oxidation at 1000 ℃, a protective three-layered oxide scale forms on the coating surface, consisting of an outer θ-Al<sub>2</sub>O<sub>3</sub> layer, a subsurface fcc-(Cr,Al)<sub>2</sub>O<sub>3</sub> layer, and an oxygen-penetration zone. This structure exhibits the lowest onset temperature for accelerated oxidation and minimal oxidation depth, attributed to multiple synergistic mechanisms: rapid nucleation and growth of protective oxide layer facilitated by initial Al-O and Cr-O bonding networks, a “labyrinth” nano-multilayers that prolongs O<sup>2-</sup> diffusion pathways, and thermally induced coherent Al/O-rich and Cr/N-rich interfaces that establish energy barriers against O<sup>2-</sup> inward diffusion and metal cation outward migration. However, excessive oxygen doping promotes amorphization and reduces the modulation ratio, impairing coherent interface formation and degrading oxidation resistance. This work elucidates the critical roles of compositional design and interfacial coherence in tailoring high-temperature performance of oxynitride coatings, providing a strategic pathway for developing advanced protective coatings for extreme environments.</div></div>","PeriodicalId":290,"journal":{"name":"Corrosion Science","volume":"262 ","pages":"Article 113649"},"PeriodicalIF":7.4,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075826","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
Unraveling the corrosion mechanism of Monel K500 in a sulfurous environment: Pitting initiation and propagation 蒙乃尔K500在含硫环境中的腐蚀机制:点蚀的发生和扩展
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-04-15 Epub Date: 2026-01-26 DOI: 10.1016/j.corsci.2026.113664
Xiangsen Zeng , Minghao Yang , Qing Hu , Zhong Wu , Da-Hai Xia , Yiwen Zhang , Zhenbo Qin , Qiang Li , Wenbin Hu
The corrosion behavior of Monel K500 alloy in sulfurous environments, relevant to oil and gas extraction, was systematically investigated. Electrochemical tests, microstructural characterization, and in-situ scanning vibrating electrode technique were employed to elucidate the corrosion mechanism. Results revealed that Monel K500 alloy suffered pitting corrosion in sulfur-containing environments, with pits preferentially initiating at the interfaces of TiC precipitates due to micro-galvanic coupling. The passivation film formed in Na2S solution was inherently loose and non-protective, as it was composed of porous corrosion products such as NiS and Cu2S. Critically, sulfide accumulation in the initially formed pits triggered catalytic-occluded cell effect, leading to acidification and sustained pitting propagation. This study demonstrates that the severe pitting susceptibility of Monel K500 in sulfide-containing media arises from the combined effect of active TiC sites and the formation of non-protective sulfides.
系统研究了蒙奈尔K500合金在含硫环境中的腐蚀行为。采用电化学测试、微观结构表征和原位扫描振动电极技术对腐蚀机理进行了研究。结果表明,Monel K500合金在含硫环境中发生点蚀,微电偶联作用下,在TiC析出相界面处优先萌生点蚀。在Na2S溶液中形成的钝化膜本质上是松散的,没有保护作用,因为它是由多孔的腐蚀产物如NiS和Cu2S组成的。关键是,硫化物在最初形成的凹坑中的积累引发了催化闭塞细胞效应,导致酸化和持续的凹坑扩展。本研究表明,Monel K500在含硫化物介质中具有严重的点蚀敏感性是由于活性TiC位点和非保护性硫化物的形成共同作用的结果。
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引用次数: 0
Linking inclusion characterisics to stainless steel corrosion in semiconductor HCl environments via machine leaning approaches 通过机器学习方法将半导体HCl环境中的夹杂物特征与不锈钢腐蚀联系起来
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-04-15 Epub Date: 2026-01-30 DOI: 10.1016/j.corsci.2026.113666
Ye Zhang , Zhice Yang , Chaoran Ma , Yong Hua , Limin Chang , Tao Zhang , Fuhui Wang
Micro-scale inclusions play a critical role in determining the corrosion performance of semiconductor-grade 316 L stainless steel, yet their quantitative influence remains insufficiently understood. In this work, an integrated experimental-data-driven framework was established to elucidate the corrosion-promoting effects of sub-2 μm inclusions under electronic specialty gas environments. Inclusion characteristics were experimentally characterised and correlated with corrosion responses, forming the basis for model development and validation. To address data scarcity, statistically verified Gaussian-noise and k-nearest-neighbor-based augmentation strategies were employed. Among eight machine-learning algorithms, a weighted ensemble model exhibited the highest predictive accuracy (R² = 0.95). Model predictions were further validated against independent corrosion experiment datasets rather than internal cross-validation alone. SHAP and partial dependence analyses revealed the importance features that small inclusions (0–2 μm), particularly silicates and spinels, significantly promote corrosion once their total area fraction and number density exceed critical thresholds. Based on these findings, a corrosion-recommendation map focusing on sub-2 μm inclusions was constructed for semiconductor-grade 316 L stainless steel. The results highlight inclusion engineering as an effective pathway to improving corrosion resistance in high-purity electronic specialty gas applications.
微尺度夹杂物在决定半导体级316 L不锈钢的腐蚀性能中起着关键作用,但它们的定量影响仍未得到充分的了解。为了研究亚2 μm包体在电子特殊气体环境下的腐蚀促进作用,建立了一个综合的实验数据驱动框架。实验表征了夹杂物特征,并将其与腐蚀反应相关联,形成了模型开发和验证的基础。为了解决数据稀缺性问题,采用了统计验证的高斯噪声和基于k近邻的增强策略。在8种机器学习算法中,加权集成模型的预测精度最高(R²= 0.95)。模型预测进一步验证独立的腐蚀实验数据集,而不是单独的内部交叉验证。SHAP和部分依赖分析揭示了小夹杂物(0-2 μm)的重要特征,特别是硅酸盐和尖晶石,一旦它们的总面积分数和数量密度超过临界阈值,就会显著促进腐蚀。基于这些发现,构建了以2 μm以下夹杂物为重点的半导体级316 L不锈钢腐蚀推荐图。结果表明,包体工程是提高高纯度电子特种气体应用中耐腐蚀性的有效途径。
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引用次数: 0
Innovative EIS-DRT for the research of organic inhibitors in inorganic acid corrosion system 创新的EIS-DRT用于无机酸腐蚀体系中有机抑制剂的研究
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-04-15 Epub Date: 2026-01-29 DOI: 10.1016/j.corsci.2026.113673
Youzhi Wang , Shuimei Fan , Ge Wang , Chuang Qiao , Long Hao , Huaiyu Yang
The electrochemical impedance spectroscopy (EIS) data are usually under-explored in corrosion inhibitors community. In this paper, the distribution of relaxation times (DRT) has been employed to explore the EIS data of carbon steels in inorganic acid corrosion systems with/without organic corrosion inhibitors addition. Theoretically analyses find that the characteristic frequency contained in EIS data correlate highly with the corrosion reaction kinetics and the adsorption behavior of inhibitor molecules at the corrosion electrolyte/metal interface. Based on EIS-DRT method, the time-constant shift (TCS) model has been proposed, and its functionalities have been discussed. Results find that the TCS data evolution upon the inhibitor concentration could indicate the inhibition efficiency, adsorption equilibrium constant (Kads) and adsorption-type of the inhibitor molecules. In addition, the proposed TCS model applies in corrosion systems with a different temperature. Therefore, the proposed TCS model could serve as an effective supplement to the traditional methods for adsorption behavior investigation and adsorption mechanism exploration of organic corrosion inhibitor molecules in inorganic acid corrosion systems, and besides it is anticipated that the TCS model could find applications in high-throughput evaluation and screening of effective corrosion inhibitors in practice.
电化学阻抗谱(EIS)数据在缓蚀剂领域的研究通常不足。本文采用弛豫时间(DRT)分布对碳钢在添加/不添加有机缓蚀剂的无机酸腐蚀体系中的EIS数据进行了研究。理论分析发现,EIS数据中包含的特征频率与腐蚀反应动力学和缓蚀剂分子在腐蚀电解质/金属界面的吸附行为高度相关。基于EIS-DRT方法,提出了时间常数位移(TCS)模型,并对其功能进行了讨论。结果发现,TCS数据随缓蚀剂浓度的变化可以反映缓蚀剂分子的缓蚀效率、吸附平衡常数(Kads)和吸附类型。此外,提出的TCS模型适用于不同温度的腐蚀体系。因此,所建立的TCS模型可以作为有机缓蚀剂分子在无机酸腐蚀体系中吸附行为研究和吸附机理探索的传统方法的有效补充,并有望在实际中应用于高效缓蚀剂的高通量评价和筛选。
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引用次数: 0
Explainable artificial intelligence for visual fingerprinting of copper tubes' atmospheric corrosion in diverse environments 可解释的人工智能在不同环境下对铜管大气腐蚀进行视觉指纹识别
IF 7.4 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-04-15 Epub Date: 2026-01-30 DOI: 10.1016/j.corsci.2026.113670
Guoyu Tong , Liping Wu , Xiuling Shang , Xiaoying Sun , Dongjiu Zhang , Changgang Wang
The corrosion behavior of copper in atmospheric environments is significantly influenced by regional climate. To achieve rapid, in-situ identification and provenance tracing of corrosion status, this study proposes an intelligent analysis method integrating real-field images and explainable machine learning. Departing from planar specimens, this work employs three-dimensional pure copper tubes for greater engineering representativeness. These were exposed outdoors for 2–24 months in three typical environments: Wenchang (marine), Chongqing (urban), and Qingdao (industrial–marine) of China. A dataset of 1500 macroscopic corrosion images was constructed using smartphones, addressing challenges like uneven illumination on curved surfaces. A set of 24 color and texture features was extracted, and six machine learning models were employed for regional classification. The Support Vector Machine (SVM) achieved optimal performance, attaining 99.67 % test accuracy using data mixed from all exposure periods. All models achieved test set accuracies of 96 % or higher, confirming the method's capability to capture regional corrosion visual features that are resistant to temporal variations. Explainability techniques, including feature importance analysis and SLIC superpixel heatmaps, revealed the mean blue and red channel values, blue channel standard deviation, and image entropy as the most critical discriminative features. These features possess clear physical correlations with the chemical composition, spatial distribution, and morphological complexity of corrosion products, constructing an interpretive bridge between macroscopic image features and microscopic corrosion mechanisms. This study validates the feasibility of using smartphones and machine learning for high-accuracy corrosion provenance tracing in complex, real-world scenarios, providing a scientific paradigm and practical foundation for intelligent corrosion diagnosis.
铜在大气环境中的腐蚀行为受区域气候的显著影响。为了实现腐蚀状态的快速、原位识别和来源追踪,本研究提出了一种集成实景图像和可解释机器学习的智能分析方法。与平面试样不同,本作品采用三维纯铜管,具有更大的工程代表性。在中国文昌(海洋)、重庆(城市)和青岛(工业-海洋)三个典型环境中进行2-24个月的户外暴露。使用智能手机构建了1500张宏观腐蚀图像的数据集,解决了曲面光照不均匀等问题。提取了一组24个颜色和纹理特征,并使用6个机器学习模型进行区域分类。支持向量机(SVM)获得了最佳性能,使用所有暴露期的混合数据达到99.67 %的测试准确率。所有模型都达到了96% %或更高的测试集精度,证实了该方法能够捕获抵抗时间变化的区域腐蚀视觉特征。包括特征重要性分析和SLIC超像素热图在内的可解释性技术揭示了蓝色和红色通道平均值、蓝色通道标准差和图像熵是最关键的判别特征。这些特征与腐蚀产物的化学成分、空间分布和形态复杂性具有明确的物理相关性,在宏观图像特征和微观腐蚀机制之间架起了解释的桥梁。该研究验证了在复杂的真实场景中使用智能手机和机器学习进行高精度腐蚀来源追踪的可行性,为智能腐蚀诊断提供了科学范式和实践基础。
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引用次数: 0
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Corrosion Science
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