CT characterization method for direct coal liquefaction residue sample
A technology for direct liquefaction of coal and residues, which is applied in the direction of material analysis using radiation, and can solve problems such as difficulty in distinguishing organic components
Inactive Publication Date: 2015-01-21
SHANXI UNIV
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Problems solved by technology
[0005] The present invention provides a CT characterization method for direct coal liquefaction residue samples in order to solve the technical problem that the organic components are difficult to distinguish in the existing visual characterization technology for direct coal liquefaction residue samples
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[0029] The characterization method described in the present invention can characterize the coal direct liquefaction residue samples obtained by different liquefaction technical schemes. In the following, the present invention will be described in detail by taking the coal direct liquefaction residue obtained by a certain liquefaction technical scheme as an example. This embodiment is only to further illustrate the present invention, but does not limit the protection scope of the present invention.
[0030] A CT characterization method of a coal direct liquefaction residue sample, comprising the following steps: the first step, sampling and pre-testing of the coal direct liquefaction residue sample: selecting organic component molecular formula, mineral ash The first coal direct liquefaction residue sample for composition testing, and the second coal direct liquefaction residue sample for CT experiments; the basic property test data of the first coal direct liquefaction residue...
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The invention relates to a visual characterization technology for distribution of organic components of a direct coal liquefaction residue sample, in particular to a CT (Computed Tomography) characterization method for the direct coal liquefaction residue sample. The CT characterization method for the direct coal liquefaction residue sample comprises the following steps: step 1, sampling and pretesting the direct coal liquefaction residue sample; step 2, carrying out analysis on an X-ray absorption characteristics of all ash ingredients of a second direct coal liquefaction residue sample; step 3, grouping components of the second direct coal liquefaction residue sample; step 4, carrying out the CT experiment on the second direct coal liquefaction residue sample; step 5, establishing a physical model and distinguishing and identifying different components in a CT slice; step 6, removing inorganic components, further distinguishing organic components and realizing visual characterization of the distribution form of the organic components of the direct coal liquefaction residue sample by utilizing the principle that different colors show the distribution of different organic components in the model. The physical model adopted by the CT characterization method can greatly improve calculating efficiency and the CT characterization method can be used for characterization of a great number of samples.
Description
technical field [0001] The invention relates to a visual characterization technology for the distribution of organic components of a direct coal liquefaction residue sample, in particular to a CT characterization method for a direct coal liquefaction residue sample. Background technique [0002] Coal direct liquefaction residue is the product of coal liquefaction, and its components can be divided into two categories: organic components and inorganic components. The organic components include bituminous substances, heavy oil and unconverted coal matrix; the inorganic components include minerals in raw coal and catalysts added in the liquefaction process. The organic components in coal direct liquefaction residue samples have high calorific value and utilization value, and the visual characterization of the distribution and combination of organic components in coal direct liquefaction residue samples is helpful for the development of new recovery of useful substances in resid...
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IPC IPC(8): G01N23/04
Inventor 王海鹏杨玉双蒋兴家杨建丽聂一行
Owner SHANXI UNIV