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Alcoholate (Dry) Corrosion: Critical damage mechanisms and their progression identified and described via experiment and modeling (AlcoMo)

Alcoholate (Dry) Corrosion: Critical damage mechanisms and their progression identified and described via experiment and modeling (AlcoMo)
醇盐(干)腐蚀:通过实验和建模识别和描述的关键损坏机制及其进展 (AlcoMo)
批准号:
408781233
负责人:
Dr. Daniel Höche
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2022-12-31

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中文摘要
翻译
本研究计划的主题是寻求机会继续(正在进行的)项目“AlkoMo”,该项目由DFG资助,再进行两年。总体目标是对生物燃料混合物中铝合金的醇(干)腐蚀进行实验和模型理论研究,以描述和预测腐蚀的潜在风险,从而能够对相关材料-燃料组合的材料相容性作出有效的陈述。在第一个应用程序中,已经详细讨论了物理和化学基础以及该主题的相关性。在当前项目的前20个月,以纯铝EN AW-1050A为例,开发了一种统计方法来启动无水乙醇中酒精腐蚀过程中初始局部攻击的启动阶段。此外,可以通过坑尺寸最大值的Gumbel分析来表征生长,从而可以预测在给定介质温度下孤立和局部攻击部位的最大横向膨胀。原则上,这些方法也可以应用于合金材料-燃料组合和接近现场的燃料混合。除了开发合适的评估方法外,初步应用中概述的微反应器也进行了设计、制造、调试和成功验证。首先进行了有希望的实验,这使得应力参数的应用更加敏感,并且可以更精确地检测和生成输入数据,以便进一步开发模型。为了创建一个完全基于物理和时间相关的有限元模型,修改了初始应用中定义的评估计划,并引入了基于数据分析和神经网络的中间步骤,该步骤允许从数据序列中提取微分方程和常数。这种创新和有前途的方法现在能够处理大量的可变参数和所研究系统的复杂性。它还允许开发一个基于物理关系的模型,用于预测铝材料在生物燃料中的腐蚀行为。这些目标直接基于AlkoMo的目标,但已通过项目期间获得的模拟,实验和方法论知识以及最新可用的创新实验设备进行了调整:腐蚀起始的识别和腐蚀过程的表征。模型自适应与实验验证腐蚀引发的物理化学描述方法的发展。传递结果和最终评价
英文摘要
Subject of this research proposal is to seek the opportunity to continue the (ongoing) project "AlkoMo", which is funded by the DFG, for another two years.The overall objective is the experimental and model-theoretical investigation of alcoholate (dry) corrosion on aluminium alloys in biogenic fuel blends in order to describe and predict the risk potential for corrosion and thus to enable valid statements to be made on the material compatibility of relevant material-fuel combinations. The physical and chemical fundamentals as well as the relevance of the topic have already been discussed in detail in the first application. During the first 20 months of the current project, a statistical method was developed to initiate the initiation phase of the initially local attack during alcoholate corrosion in anhydrous ethanol using the example of pure aluminium EN AW-1050A. Furthermore, the growth could be characterized by a Gumbel analysis of the pit size maxima, so that a prediction of the maximum lateral expansion of isolated and localized attack sites at a given medium temperature is possible. In principle, these methods can also be applied to alloyed material-fuel combinations and fuel blends close to the field. In addition to the development of a suitable evaluation methodology, the microreactor outlined in the initial application was designed, manufactured, commissioned and successfully validated. First promising experiments were carried out, which allow a considerably more sensitive application of the stress parameters as well as a more precise detection and generation of input data for further model development.To create a completely physically based and time-dependent finite element model the evaluation plan defined in the initial application was modified and an intermediate step based on data analysis and neural networks was introduced, which allows to extract differential equations and constants from data series. This innovative and promising method is now able to cope with the multitude of variable parameters and the resulting complexity of the system under investigation. It also allows to develop a model based on physical relationships for predicting the corrosion behavior of aluminum materials in biogenic fuels.The goals are directly based on the goals of AlkoMo, but have been adapted by the simulative, experimental and methodological knowledge gained during the project as well as the newly available innovative experimental equipment: 1. identification of corrosion initiation and characterization of corrosion progress.2. model adaptation and experimental validation3. development of a physicochemical description approach for corrosion initiation4. transfer of results and final evaluation
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高粱Dry基因调控的下游基因的挖掘和功能分析
  • 批准号:
    32072026
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    景海春
  • 依托单位: