研究目的
To develop image processing algorithms for a new technique of ceramic proppant crush resistance characterization using X-ray microtomography, enabling detailed analysis of particle destruction and morphological features.
研究成果
The developed algorithms provide a detailed analysis of ceramic proppant crush resistance, offering advantages over traditional methods by enabling particle-level destruction tracking and morphological feature analysis. The technique shows good agreement with conventional sieve tests and offers potential for further statistical and physical modeling applications.
研究不足
The technique's effectiveness is limited by the resolution of X-ray microtomography, which may not resolve micro-pores. Additionally, the computational complexity and memory requirements limit the processing of high-resolution images.
1:Experimental Design and Method Selection:
Utilized X-ray microtomography to obtain images of proppant material before and after crush tests. Developed a watershed-based unsupervised algorithm for segmentation and a set of parameters for 3D particle characterization.
2:Sample Selection and Data Sources:
Ceramic proppant particles were used, with images captured under slight and heavy loads to observe destruction.
3:List of Experimental Equipment and Materials:
SkyScan 1172 microCT system, Python libraries for image processing, and a personal workstation for data analysis.
4:Experimental Procedures and Operational Workflow:
Segmentation of particles, calculation of parameters (size, shape, porosity), and matching particles between images before and after stress.
5:Data Analysis Methods:
Statistical analysis to validate hypotheses about particle parameters and their influence on crushing.
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