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Non-empirical identification of trigger sites in heterogeneous processes using persistent homology

机译:使用持久性同源性非经验地识别异构过程中的触发位点

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Macroscopic phenomena, such as fracture, corrosion, and degradation of materials, are associated with various reactions which progress heterogeneously. Thus, material properties are generally determined not by their averaged characteristics but by specific features in heterogeneity (or ‘trigger sites’) of phases, chemical states, etc., where the key reactions that dictate macroscopic properties initiate and propagate. Therefore, the identification of trigger sites is crucial for controlling macroscopic properties. However, this is a challenging task. Previous studies have attempted to identify trigger sites based on the knowledge of materials science derived from experimental data (‘empirical approach’). However, this approach becomes impractical when little is known about the reaction or when large multi-dimensional datasets, such as those with multiscale heterogeneities in time and/or space, are considered. Here, we introduce a new persistent homology approach for identifying trigger sites and apply it to the heterogeneous reduction of iron ore sinters. Four types of trigger sites, ‘hourglass’-shaped calcium ferrites and ‘island’- shaped iron oxides, were determined to initiate crack formation using only mapping data depicting the heterogeneities of phases and cracks without prior mechanistic information. The identification of these trigger sites can provide a design rule for reducing mechanical degradation during reduction.
机译:宏观现象,例如破裂,腐蚀和材料降解,与各种反应均不均匀地进行。因此,材料特性通常不是由其平均特性决定的,而是由相,化学状态等的异质性(或“触发位点”)中的特定特征决定的,在这些特征中,指示宏观特性的关键反应会开始并传播。因此,识别触发位点对于控制宏观性质至关重要。但是,这是一项艰巨的任务。先前的研究试图基于从实验数据(“经验方法”)获得的材料科学知识来识别触发点。但是,当对反应了解甚少或考虑到大型多维数据集(例如在时间和/或空间上具有多尺度异质性的多维数据集)时,此方法将变得不切实际。在这里,我们介绍了一种用于识别触发位点的新的持久同源性方法,并将其应用于铁矿石烧结矿的异质还原。确定了四种类型的触发点,即“沙漏”形的铁酸钙和“岛形”的氧化铁,仅使用描述相和裂纹非均质性的映射数据即可引发裂纹形成,而无需事先提供机械信息。这些触发位点的识别可以为减少还原过程中的机械降解提供设计规则。

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