A stochastic geometrical 3D model for time evolution simulation of microstructures in SOC-electrodes
A stochastic geometrical 3D model for time evolution simulation of microstructures in SOC-electrodes
复制标题
用于 SOC 电极微结构时间演化模拟的随机几何 3D 模型
DOI：
10.1016/j.commatsci.2022.111568
复制
发表时间：
2022
影响因子：
3.3
通讯作者：
J. Debayle
中科院分区：
文献类型：
--
作者：
L. Théodon;J. Laurencin;M. Hubert;P. Cloetens;J. Debayle
建立了一种新颖的三维随机几何模型，模拟了氧化钇稳定的氧化锆和镍制成的多孔固体氧化物电池电极的微观结构演变。更具体地模拟了Ni团聚引起的显微组织变化。该模型基于随机集和算法，用于解决与微结构中某一组分的时间演化有关的线性分配问题。通过比较合成微结构的几何特征和从实际电极重建中提取的微结构的几何特征，验证了利用该模型生成逼真的三维微结构的可能性。然后说明了随机时间演化微结构(STEM)模型生成具有演化特征的微结构的能力，并与在老化电极上获得的实际数据进行了比较。除微结构因子等特殊情况外，大多数几何特征的误差一般都在10%以下。然后对所有结果进行了讨论，并提出了改进模型的建议。
An original 3D stochastic geometrical model has been developed to simulate the microstructural evolution of porous solid-oxide cell electrodes made of yttria-stabilized zirconia and nickel. The microstructural change induced by Ni agglomeration has been more specifically simulated. The model is based on random sets and algorithms for solving the linear assignment problem related to the time evolution of one component in the microstructure. The possibility to generate realistic 3D microstructures with the model has been verified by comparing the geometrical characteristics of synthetic microstructures with those extracted from real electrode reconstructions. The ability of the Stochastic Time Evolution Microstructure (STEM) model to generate microstructures with evolving characteristics has been then illustrated and compared to real data obtained on aged electrodes. The error on most of the geometrical characteristics are in general lower than 10%, except in some particular cases, such as the microstructure factor. All the results have then been discussed and suggestions have been proposed for improving the model.
固体氧化物燃料电池中活性镍燃料电极/电解质界面的微观结构变化
DOI：
--
发表时间：
2023
期刊：
影响因子：
--
作者：
Ouyang;Z.;Sciazko;A.;Komatsu;Y.;Nishimura;K. Shikazono;N.
通讯作者：
N.
2005/06冬季寒潮和平流层环流
DOI：
--
发表时间：
2006
期刊：
影响因子：
--
作者：
小寺邦彦;K.Kruger
通讯作者：
K.Kruger