Mass fractal dimension from 2D microscopy images via an aggregation model with variable compactness.
J Microsc
; 286(1): 31-41, 2022 Apr.
Article
en En
| MEDLINE
| ID: mdl-35148566
RESUMEN
Boehmite powder is often employed for the manufacturing of γ $\gamma$ -alumina catalyst carriers and absorbents. This process involves boehmite colloidal particles coagulation, the size and shape of the particles affect the porosity of the final solid. As there is a high interest in tuning the porosity via the synthesis parameters, this work is aimed at the use of microscopy analysis to evaluate the mass fractal dimension of boehmite aggregates and agglomerates formed under controlled physical chemical conditions (acid and alkaline content and Brownian motion). Since the mass fractal dimension cannot be directly computed on binary two-dimensional images, a recently developed morphological model has been used to generate three-dimensional clusters characterized by a certain mass fractal dimension d f $d_f$ , the projection of the clusters leads to the estimation on the projected fractal dimension d p $d_p$ , being related to the slope on a bi-logarithmic plot perimeter versus area. According to the morphological model, the higher the d f $d_f$ , the lower the d p $d_p$ . The relationship between d f $d_f$ and d p $d_p$ has been used to estimate the mass fractal dimension from STEM images of boehmite suspensions. The trend of d f $d_f$ with respect to the acid and alkaline content in the suspensions agrees with small angle X-ray scattering measurement and with the literature.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
J Microsc
Año:
2022
Tipo del documento:
Article
País de afiliación:
Francia
Pais de publicación:
Reino Unido