Self-similarity study based on the particle sizes of coal-series diatomite

Liang Cheng ¹, Guangming Wang ², Zhijun Ma ³

⁰College of Mining, Liaoning Technical University, Fuxin, 123000, China. chengliang@lntu.edu.cn.

Scientific Reports +

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March 30, 2024

View abstract on PubMed

Summary

This study investigates coal-series diatomite (CSD) particle size scales (PSSs) using gas adsorption and image analysis. Findings reveal complex mesoporous structures in fine PSS and macropores in coarse PSS, crucial for material applications.

Area Of Science

Materials Science
Geochemistry
Nanotechnology

Background

Coal-series diatomite (CSD) is abundant but underutilized due to poor properties.
Variations in mineralogy lead to diverse microstructures across different particle size scales (PSSs).
Understanding CSD microstructure is key to unlocking its high-value applications and mitigating environmental impact.

Purpose Of The Study

To investigate the self-similarity and microstructural characteristics of CSD across different PSSs.
To establish a foundation for the functional application of CSD based on its particle size-dependent properties.
To address resource waste and environmental pressure associated with CSD underutilization.

Main Methods

Gas adsorption techniques were employed to probe pore structures.
Image processing methods, including MATLAB programming, were used for microstructural analysis.
Fractal dimension analysis using Frenkel-Haisey-Hill (FHH) and Menger models quantified self-similarity.

Main Results

CSD pore structure is primarily composed of mesopores and macropores, with a lack of micropores.
Fractal dimensions indicated complex mesoporous structures in fine PSS (e.g., D<sub>F1</sub>=2.51) and macropores in coarse PSS (e.g., D<sub>F1</sub>=2.48).
3D reconstruction and box dimension analysis provided visual and quantitative insights into CSD microstructures and self-similarities.

Conclusions

Particle size significantly influences the microstructure and self-similarity of CSD.
The characterized microstructures are critical for optimizing CSD's functional applications.
This research provides essential data for the high-value utilization of CSD resources.