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复杂海洋环境下FCC高熵合金耐蚀机理

Corrosion resistance mechanisms of FCC high-entropy alloys in complex marine environments

  • 摘要: 海洋工程装备长期处于高静水压力、低溶解氧、低温及微生物活性等多因素耦合的腐蚀环境,传统单一主元合金因钝化膜组元单一、稳定性不足且局部腐蚀敏感性高,性能已逼近极限。FCC(Face-centered Cubic, 面心立方)高熵合金的多主元设计赋予钝化膜多组元协同特性,高构型熵稳定固溶体基体,两者协同使其在复杂海洋工况下展现出耐蚀应用潜力。本文系统综述了FCC高熵合金在海洋环境中的腐蚀行为与耐蚀机理。首先将组成元素分为基体合金元素、低熔点金属元素、难熔金属元素、非金属元素与稀土元素5大类,总结各类元素对钝化膜组成与稳定性、点蚀抗力及相间电偶腐蚀敏感性的差异化影响规律;其次,讨论析出相与显微组织对耐蚀性能的影响,归纳纳米共格析出相可同步提升强塑性、抗局部腐蚀及抗氢脆性能的强化机制;随后,从增材制造、加工变形与热处理协同及喷丸处理等工艺方法出发,归纳其通过调控晶粒尺寸、元素偏析及残余应力分布来影响钝化膜生成与修复能力的研究进展。在此基础上,聚焦腐蚀-磨损耦合、深海多因素耦合及氢致损伤3类典型极端工况,总结FCC高熵合金在多场耦合环境下的失效机理,指出其在各工况下的腐蚀失效规律与单一静态腐蚀环境不同,成分设计需根据目标服役条件差异化权衡;最后,评述机器学习在耐蚀高熵合金设计中的应用现状,指出现有模型多基于常压单一介质数据,难以精准预测深海多场耦合下的腐蚀行为,未来需结合物理认知优化特征工程以提升模型泛化能力。本文认为,面向海洋工程长期服役,FCC高熵合金亟须解决成分与极端工况服役稳定性的匹配问题,加快构建多因素耦合性能数据库,以加速实验室成果的工程转化。

     

    Abstract: Marine engineering equipment operates permanently in a multi-factor coupled corrosive environment characterized by high hydrostatic pressure, low dissolved oxygen, low temperature and microbial activity. Traditional single-principal-element alloys have approached their performance limits due to the single component, insufficient stability and high localized corrosion susceptibility of their passive films. The multi-principal-element design of FCC high-entropy alloys (HEAs) endows passive films with multi-component synergistic characteristics, and high configurational entropy stabilizes the solid solution matrix. The synergistic effect of the above two features enables FCC HEAs to exhibit promising corrosion resistance application potential in complex marine working conditions. This paper systematically reviews the corrosion behavior and corrosion resistance mechanism of FCC HEAs in marine environments. First, the constituent elements of FCC HEAs are classified into five categories, including matrix alloy elements, low-melting-point metal elements, refractory metal elements, non-metallic elements and rare earth elements. The differential influence rules of each type of element on the composition and stability of passive films, pitting resistance and interphase galvanic corrosion susceptibility are summarized. Second, the effects of precipitated phases and microstructures on corrosion resistance are discussed, and the strengthening mechanism of nano-scale coherent precipitated phases that simultaneously improve the strength-plasticity synergy, localized corrosion resistance and hydrogen embrittlement resistance is concluded. Subsequently, based on the process methods including additive manufacturing, synergistic processing deformation and heat treatment, as well as shot peening, this paper summarizes the research progress of these processes in regulating the formation and repair capability of passive films by adjusting grain size, elemental segregation and residual stress distribution. On this basis, focusing on three typical extreme working conditions of corrosion-wear coupling, deep-sea multi-factor coupling and hydrogen-induced damage, the failure mechanisms of FCC HEAs under multi-field coupled environments are summarized. It is indicated that the corrosion failure rules of FCC HEAs under the above working conditions differ from those in single static corrosion environments, and the composition design needs differentiated trade-offs according to targeted service conditions. Finally, the application status of machine learning in the design of corrosion-resistant high-entropy alloys is reviewed. Existing models are mostly based on data obtained from single media under normal pressure, which cannot accurately predict the corrosion behavior of FCC HEAs under deep-sea multi-field coupling. Future research needs to optimize feature engineering combined with physical cognition to improve the generalization ability of models. This paper holds that for the long-term service of marine engineering, FCC HEAs urgently need to solve the matching problem between composition and service stability under extreme working conditions, and accelerate the construction of multi-factor coupled performance databases to promote the engineering transformation of laboratory achievements.

     

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