Characterization method and system for in-situ statistical distribution of inclusions in steel

Abstract

The invention discloses a characterization method and system for in-situ statistical distribution of inclusions in steel, and the method comprises the steps: carrying out the pretreatment of a to-be-detected sample, and obtaining a smooth and clean detection surface; pasting an aluminum foil at one end of the to-be-tested sample, and evaluating the category and size range of inclusions in the to-be-tested sample through a scanning electron microscope; obtaining chemical composition, morphology and coordinate position data of the inclusions through a scanning electron microscope and an energy spectrum accessory; analyzing the chemical composition, morphology and coordinate position data to obtain an in-situ statistical distribution result of the size and the number of the inclusions; the method combines the advantages of data analysis of the inclusion characterization scanning electron microscope method and the in-situ analysis method, and has the advantages of large analysis view field, complete statistical information and visual evaluation result.

Description

technical field [0001] The invention relates to the technical field of iron and steel material analysis and testing, in particular to a characterization method and system for in-situ statistical distribution of inclusions in steel. Background technique [0002] Inclusions in steel are generally non-metallic phases produced or mixed in during smelting and pouring, and are compounds produced by the reaction of some metal elements and non-metal elements. Inclusions in steel have a very important impact on the properties of materials, especially large-size inclusions will seriously affect the fatigue performance and durability of steel. In recent years, with the development of steel cleanliness control technology, the urgent need for the localization of steel in the high-end equipment manufacturing industry, and the increasing demand for high-quality steel from enterprises, higher requirements have been put forward for the content and size of inclusions in steel. Therefore, it ...

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Problems solved by technology

The electrolytic extraction-energy spectrum analysis method can obtain the type, shape and statistical quantity of the inclusions, but its analysis period is long, the efficiency is low, and the human error is large; Qualitative observation and rating are difficult to use for quantitative detection of multi-field inclusions in larger samples, especially the inability to quickly obtain accurate information such as the number and size of inclusions; the in-situ analysis method uses spark spectroscopy or laser spectroscopy for inclusion detection. The particle size and type distribution of inclusions in different positions in the large size range of the sample to be tested can be obtained, but the detection accuracy of this method for small inclusions is low, limited by the analysis channel of the spectrometer, and the types of inclusions detected are limited, so it is difficult to meet the existing high standards. The demand for fine characterization of inclusions under the quality steel and cleanliness control technology; the scanning electron microscope method can obtain the statistical results of the type, size and shape of small inclusions in steel, and has become a popular analysis method for inclusion detection. However, this method focuses on Due to the statistical results of the entire analysis area of ​​the sample to be tested, there is a lack of in-situ distribution analysis related to the position of the inclusions, and it is difficult to effectively correlate with the process

[0004] In summary, there is still a lack of an accurate quantitative statistical characterization method for the in-situ distribution of inclusion types, sizes, and quantities in steel, which is applied to the correlation analysis of inclusion control in metallurgical processes

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