Deciphering and Mitigating Failure Mechanisms in Poly(ether Imide) Corrosion Protection Coatings for Automotive Light-Weighting

IF 5.1 Q2 ENGINEERING, CHEMICAL
Tiffany E. Sill, Joseph K. Cantrell, Victor Ponce, Caroline G. Valdes, Torrick Fletcher, Kerry Fuller, Sujata Singh, Mohammed Al-Hashimi, Homero Castaneda, Peter M. Johnson* and Sarbajit Banerjee*, 
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引用次数: 0

Abstract

Corrosion represents a key impediment to the greater adoption of light metal alloys as alternatives to automotive steels in vehicular applications. Thin nanocomposite coatings generate considerable interest for their potential in aluminum alloy corrosion protection, which is challenging due to the lack of conventional protection mechanisms that are available for other metals. Here, we investigate the thickness-dependent corrosion protection afforded to AA 7075 substrates by poly(ether imide)-based (PEI) coatings. Using electrochemical impedance spectroscopy to monitor ion transport, we observe that with increasing coating thickness, PEI more effectively sequesters ions and enforces permeation selectivity, thereby precluding deleterious substitution processes that dissolve corrosion products. We further explore thickness-dependent modifications to the PEI matrix by incorporation of unfunctionalized exfoliated graphite (UFG) particles to control diffusion processes and co-polymerization with siloxane to manipulate permeation selectivity. Incorporation of UFG platelets can degrade corrosion protection through galvanic coupling with the substrate and enhanced interfacial ion diffusion at lower coating thicknesses. However, interphase development mediated by hydration, network relaxation, and thermal displacement of PEI chains yields a rigid matrix that enhances permeation selectivity and imbues extended tortuosity. This combination results in superior corrosion protection for thicker PEI coatings with embedded UFG platelets under aggressive accelerated corrosion testing conditions. Siloxane co-polymerization, while weakening interfacial adhesion to AA 7075 substrates, facilitates the sequestration of solubilized corrosion products within the matrix under appropriate processing conditions. The results illustrate the importance of understanding the dynamical evolution of polymer secondary structure under aggressive accelerated corrosion testing conditions, point to the specific role of secondary structure and interphasic domains in enforcing permeation selectivity, and establish fundamental thickness limits for retaining effective barrier protection.

汽车轻量化用聚醚亚胺防腐涂料的解密和减轻失效机制
腐蚀是阻碍轻金属合金在汽车应用中取代汽车用钢的主要障碍。薄纳米复合涂层在铝合金防腐方面的潜力引起了人们的极大兴趣,由于缺乏其他金属可用的传统保护机制,这一领域具有挑战性。在这里,我们研究了聚醚亚胺基(PEI)涂层对AA 7075基材的厚度依赖性腐蚀保护。利用电化学阻抗谱监测离子传输,我们观察到随着涂层厚度的增加,PEI更有效地隔离离子并增强渗透选择性,从而阻止了溶解腐蚀产物的有害取代过程。我们进一步探索了PEI基质的厚度依赖性修饰,通过加入非功能化脱落石墨(UFG)颗粒来控制扩散过程,并与硅氧烷共聚合来操纵渗透选择性。在较低的涂层厚度下,UFG片的掺入会通过与衬底的电偶联和增强界面离子扩散而降低防腐性能。然而,PEI链的水化、网络松弛和热位移介导的间相发育产生了刚性基质,增强了渗透选择性并增加了弯曲度。这种组合可以在侵略性加速腐蚀测试条件下,为嵌入UFG血小板的较厚PEI涂层提供卓越的防腐保护。硅氧烷共聚合在减弱与AA 7075基体的界面附着力的同时,在适当的加工条件下,有利于溶解的腐蚀产物在基体内的隔离。这些结果说明了在侵略性加速腐蚀测试条件下了解聚合物二级结构动态演变的重要性,指出了二级结构和相间畴在增强渗透选择性方面的具体作用,并建立了保持有效屏障保护的基本厚度限制。
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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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