Fractal Characterization of Wide Pore Range Catalysts: Application to Pd–Ag/SiO2 Xerogels

Blacher, Silvia; Heinrichs, Benoı̂t; Sahouli, Bendida; Pirard, René; Pirard, Jean-Paul

doi:10.1006/jcis.2000.6768

Cited by 9 publications

(5 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The range of pore length scales over which a fractal scaling law applies (large-Q range) may also be accessed by MIP. Indeed, this technique has been used to determine surface fractal dimensions (Ehrburger-Dolle et al 1994), yielding results in reasonable agreement with SAXS measurements (Blacher et al 2000). Fractal analysis of MIP data is based on the scaling law:…”

Section: Pore Size Distribution From Imaging Mip and Scattering Datamentioning

confidence: 97%

Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

et al. 2010

View full text Add to dashboard Cite

The microstructure of a suite of sandstone samples is quantitatively analyzed using a method which combines information from thin section micrographs of the pore space with mercury injection porosimetry in a statistical framework. This method enables the determination of a continuous distribution of pore sizes ranging from few nanometre to several hundred micrometre. The data obtained unify fractal and Euclidean aspects of the void space geometry, yield estimates of the pore-to-throat aspect ratio and challenge the ability of commonly used network models to describe fluid percolation in multiscale porous media. Application of critical path analysis to the prediction of flow permeability and electrical conductivity of sandstone core samples using the new information produces results comparable to those obtained by the classical approach-a fact attributed to the presence of macroscopic heterogeneity at the scale of several millimetres.

show abstract

Section: Pore Size Distribution From Imaging Mip and Scattering Datamentioning

confidence: 97%

Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

et al. 2010

View full text Add to dashboard Cite

show abstract

“…As reported by Blacher et al [13], fractal behavior does not reflect the structure of the basic object (such as pores structure or clusters) but their distributions. El-Shafei et al [10] also stated that, rough surfaces may be divided into two general categories; roughness due to the presence of uniform pores and roughness due to the presence of a distribution of pore sizes.…”

Section: Effect Of Palladiummentioning

confidence: 82%

“…They concluded that the fractal surfaces of particulate aerogels were slightly more irregular than those of polymeric aerogels. Blacher et al [13] applied fractal analysis to characterize the structure of Pd-Ag/SiO 2 catalysts with different concentration of Pd-Ag. Nitrogen adsorption-desorption, mercury porosimetry and small-angle X-ray scattering measurement were used.…”

Section: Introductionmentioning

confidence: 99%

Pore surface fractal analysis of palladium-alumina ceramic membrane using Frenkel–Halsey–Hill (FHH) model

Ahmad

Mustafa

2006

Journal of Colloid and Interface Science

View full text Add to dashboard Cite

“…studied the surface fractal of montmorillonite using the FHH method. Fractal characterization of Pd–Ag/SiO 2 xerogels studied by Blacher et al 13 . also applied the FHH theory.…”

Section: Introductionmentioning

confidence: 99%

Surface Fractal Dimension of Perovskite‐Doped Alumina Membrane: Influence of Calcining Temperature

Ahmad

Idrus

Shukor

2006

Journal of the American Ceramic Society

View full text Add to dashboard Cite

The surface fractal dimension, D, and pore size distribution of perovskite-doped alumina membrane prepared via the sol-gel method were determined from their nitrogen adsorption isotherms. The D value was calculated using the Frenkel-Halsey-Hill method. The D value increased with increasing temperature due to membrane shrinkage. The pore size distribution pattern of perovskite-doped alumina membrane showed a narrow pore size when the temperature was increased from 4001 to 8001C. The isotherm type was characterized as Type IV. Smoothing and sintering effects contributed to the decreasing trend of surface fractal dimension at a high temperature. The surface fractal dimension increased when the perovskite ratio in alumina membrane was increased. NomenclatureD surface fractal dimension N/N m number of layer adsorbs on the surface P equilibrium pressure P o saturation pressure P/P o relative pressure W weight of nitrogen adsorbed at relative pressure W m weight of nitrogen constituting a monolayer of surface coverage S surface area R gas constant T adsorption temperature k constant c BET constant r mean radius g surface tension

show abstract

Fractal Characterization of Wide Pore Range Catalysts: Application to Pd–Ag/SiO2 Xerogels

Cited by 9 publications

References 41 publications

Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

Pore surface fractal analysis of palladium-alumina ceramic membrane using Frenkel–Halsey–Hill (FHH) model

Surface Fractal Dimension of Perovskite‐Doped Alumina Membrane: Influence of Calcining Temperature

Contact Info

Product

Resources

About