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Heapocrates: Healing Polymers for preventing Corrosion of Metallic Systems

Heapocrates: Healing Polymers for preventing Corrosion of Metallic Systems
Heapocrates:用于防止金属系统腐蚀的修复聚合物
批准号:
202564587
负责人:
Dr. Daniel Crespy
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2011
资助国家:
德国
项目状态:
已结题
起止时间:
2010-12-31 至 2014-12-31

项目摘要

项目成果

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中文摘要
翻译
Heapcrates项目的雄心是创造用于智能腐蚀保护和自我修复的新型涂层,并在腐蚀侵蚀时揭示愈合和防腐性能的基本方面。腐蚀性攻击的原因有很多,可以是物理原因(例如,撞击时的机械分层、划痕等…)或化学性质(界面上的缺陷,例如由于污染等)。因此,启动自我修复过程的唯一有用的通用触发因素是腐蚀本身的开始。典型的腐蚀触发信号是pH、离子强度的变化和电极电位的降低。后者是最可靠的触发器,因为它对大小写的选择性最强,定义最好(即使在完全不同的条件下,潜在的变化也大致相同)。我们的目标是合成一种新型的复杂的自修复体系,用于腐蚀材料的缓蚀和自修复。我们计划合成的复杂3D结构是基于包裹在颗粒或纤维中的自我修复化学物质,这些化学物质可以通过改变电位来释放。半导体聚合物壳层中的粒子和纤维将被制备为响应性材料,而聚合则是一种自愈反应。将研究材料的触发敏感度、释放活性、活性物种的流动性和愈合性能。
英文摘要
The project Heapocrates has the ambition to create novel coatings for intelligent corrosion protection and self-healing and unravel the fundamental aspects of the healing and anticorrosive properties upon corrosive attack. There are many causes for corrosive attacks, which can be of physical (e.g. mechanical delamination upon impact, scratches etc…) or chemical nature (imperfections at the interface, e.g. due to contaminations, etc..). Hence, the only useful universal trigger for initiating the self-healing process is the onset of corrosion itself. Typical trigger signals for corrosion are changes in pH, ionic strength and decrease of electrode potential. The latter is the most reliable trigger since it is the most case-selective and the best defined (the potential change is more or less the same under even quite different conditions). Our aim is to synthesize a novel complex self-healing system for the inhibition of corrosion and self-healing of materials attacked by corrosion. The complex 3D structures that we propose to synthesize are based on encapsulated self-healing chemicals in particles or fibers that can be released via a change of potential. Semiconducting polymer shell for the particles and fibers will be prepared as responsive material and a polymerization is the self-healing reaction. The trigger sensitivity, release activity, mobility of reactive species, and healing performance of the materials will be investigated.
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Understanding the role of trigger signal spreading, release rate of suitable active agents and their transport rate for optimal healing in extrinsic self-healing materials
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