Visualization quantitative CT (Captive Test) characterization method for component distribution and physical structure of coal sample

Abstract

The invention relates a visualization characterization technology of a coal sample, and in particular relates to a visualization quantitative CT (Captive Test) characterization method for component distribution and a physical structure of a coal sample. The visualization quantitative CT characterization method comprises the following steps of: sampling and pre-testing the coal sample; carrying out an X-ray absorption characteristic analysis on each component of a second coal sample; carrying out X-ray absorption characteristic analysis on residual minerals; carrying out a CT on the coal sample; establishing a mathematical model and carrying out a numerical analysis on CT slices; and carrying out visualization quantitative characterization. The CT characterization method provided by the invention adopts a plurality of CT data obtained by monochromatic X-ray experiment energy to carry out conjoint analysis, and detects the information of a component, dimension of which is smaller than CT resolution dimension, on a CT picture by establishing a data model on a single CT element, so that the visualization result of the component distribution characteristic and the physical structure of the coal sample is accurate.

Description

technical field [0001] The invention relates to a visualization characterization technology of coal samples, in particular to a quantitative CT characterization method for visualization of coal sample component distribution and physical structure. Background technique [0002] At present, the visual characterization techniques of coal samples mainly include: scanning electron microscopy, X-ray CT imaging, nuclear magnetic resonance and so on. The above methods have their own advantages and disadvantages when characterizing the three-dimensional structure of coal samples. [0003] Scanning electron microscopy combined with energy spectrum analysis can provide a more accurate and high-resolution two-dimensional distribution map of coal sample components, but the coal sample must be physically sliced ​​in the process of obtaining three-dimensional images. The original physical structure of the coal sample will inevitably be destroyed during the slicing process. [0004] T...

AI Technical Summary

Problems solved by technology

On the other hand, although the influence of partial volume effects can be reduced to a certain extent by improving the resolution of CT, the sample size will decrease sharply with the increase of resolution, which will seriously affect the statistical representativeness of the sample.

Images