Corrosion Inhibition Strategies for Product Store Environment

产品存储环境的腐蚀抑制策略

• 批准号: 2888327
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2888327
• 关键词: Corrosion; Inhibition; Strategies; Product; Store

This PhD project is centred on developing a novel corrosion inhibition strategy with application to infrastructure for the storage of nuclear products. The idea is to combine novel characterisation techniques and assessment approaches with chemistry, electrochemistry and corrosion science, to understand which chemicals can be used for inhibiting damage propagation. Hyper-spectral imaging will be combined with Raman spectroscopy, chemical analysis, and data-fusion of 3D topography data (3D point cloud) to generate a virtual model of corrosion sites. These data will then be explored for simulating an inhibition strategy, with the aim to immobilise liquid corrosion products. Extreme value statistics will be employed to assess the effect of surface corrosion and exposure time , with the aim to obtain a predictive model for understanding material performance. The project will combine chemistry, physics, data processing, with corrosion science and materials engineering.

该博士学位项目集中在开发一种新型的腐蚀抑制策略，并将其应用于基础设施以存储核产品。这个想法是将新颖的特征技术和评估方法与化学，电化学和腐蚀科学相结合，以了解哪种化学物质可用于抑制损害的传播。超光谱成像将与3D地形数据（3D点云）的拉曼光谱，化学分析和数据融合相结合，以生成腐蚀位点的虚拟模型。然后将探索这些数据以模拟抑制策略，以固定液体腐蚀产物。将采用极端价值统计来评估表面腐蚀和暴露时间的影响，目的是获得理解材料性能的预测模型。该项目将将化学，物理，数据处理与腐蚀科学和材料工程相结合。