Ávila Joseph, Pagalo Javier, Espinoza-Andaluz Mayken
Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador.
Facultad de Ingeniería Mecánica y Ciencias de la Producción, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil, Ecuador.
Sci Rep. 2022 Nov 14;12(1):19463. doi: 10.1038/s41598-022-23643-6.
Porous materials are of great interest in multiple applications due to their usefulness in energy conversion devices and their ability to modify structural and diffusive properties. Geometric tortuosity plays an important role in characterizing the complexity of a porous medium. The literature on several occasions has related it as a parameter dependent on porosity only. However, due to its direct relationship with the morphology of the medium, a deeper analysis is necessary. For this reason, in the present study, the analysis of the geometric tortuosity is proposed considering the porosity and the pore size distribution. Geometric tortuosity in artificially generated digital porous media is estimated using the A-star algorithm and the Pore Centroid method. By performing changes in the size of the medium and the distribution of the pore size, results are obtained that indicate that the geometric tortuosity does not only depend on the porosity. By maintaining the same porosity, the geometric tortuosity increases if the pore size is reduced. Similarly, these pore size effects are greater if the size of the medium is reduced. The A-star algorithm was found to be more suitable to characterize the majority of paths within the half-pore. On the other hand, to increase the size, the Pore Centroid method is the most appropriate. Finally, three types of correlations were generated relating tortuosity with porosity and pore size. All the correlations were determined with 95% of interval confidence.
多孔材料因其在能量转换装置中的实用性以及改变结构和扩散特性的能力，在多种应用中备受关注。几何迂曲度在表征多孔介质的复杂性方面起着重要作用。文献中多次将其视为仅依赖于孔隙率的参数。然而，由于它与介质形态的直接关系，有必要进行更深入的分析。因此，在本研究中，提出了考虑孔隙率和孔径分布的几何迂曲度分析方法。使用A算法和孔隙质心法估计人工生成的数字多孔介质中的几何迂曲度。通过改变介质尺寸和孔径分布，得到的结果表明几何迂曲度不仅取决于孔隙率。在保持相同孔隙率的情况下，如果孔径减小，几何迂曲度会增加。同样，如果介质尺寸减小，这些孔径效应会更大。发现A算法更适合表征半孔隙内的大多数路径。另一方面，为了增大尺寸，孔隙质心法是最合适的。最后，生成了三种迂曲度与孔隙率和孔径的相关性。所有相关性的确定置信区间为95%。
