4.6 Article

Multiscale Fractal Characterization of Pore Structure for Coal in Different Rank Using Scanning Electron Microscopy and Mercury Intrusion Porosimetry

Journal

PROCESSES
Volume 10, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/pr10081577

Keywords

multiscale fractal analysis; pore size distribution; scanning electron microscopy; mercury intrusion porosimetry

Funding

  1. General Program of National Natural Science of China [52174187]
  2. State Key Program of National Natural Science of China [52130409]

Ask authors/readers for more resources

This study used SEM and MIP techniques to analyze the pore structure of natural coal and investigated the influence of coalification degree on the pores using multiscale fractal analysis. The results showed that the pores in coal can be classified into different scales as seepage pores, transition pores, and mesopores, and the size and volume of the pores have a direct impact on the multiscale fractal dimensions.
Multiscale fractal analysis of the pore system for coal is necessary to obtain more inner information. The techniques of Scanning Electron Microscopy (SEM) and Mercury Intrusion Porosimetry (MIP) are combined to characterize the pore structure of natural coal. A total of eight coal samples, of a different rank and coalification degree, are prepared for experiments. Methods of SEM image processing, piecewise curve-fitting and correction of intrusion data are adopted to obtain more useful results. According to the pore size range of the MIP probe, pores in coal are classified as seepage pore (pore size >= 1000 nm), transition pore (pore size >= 50 nm and <1000 nm) and mesopore (pore size < 50 nm). Variations of multi-scale fractal dimensions are studied from the perspective of coalification degree or coal rank. Fractal dimension from SEM data (D-1) and fractal dimensions of seepage pore, transition pore and mesopore (D-2, D-2' and D-2 '') from MIP data are calculated by fitting curves, and consequently correlations of those with volatile matter (V-daf), pore volume and pore size are analyzed and discussed. The U-shape relationships between fractal dimensions (D-1, D-2 and D-2') and V-daf are observed. Macropores are presented as the isolated clusters embedding in the network of smaller pores, and the difference of the order of magnitude of the pores' size affects the connectivity between pores. Both the pore size and volume have a direct influence on multiscale fractal dimensions. Overall, multiscale fractal analysis is beneficial to explore the structure of natural coal.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available