Metal material surface microcrack identification and in-situ quantitative statistical distribution characterization method

Abstract

The invention discloses a metal material surface microcrack identification and in-situ quantitative statistical distribution characterization method, which comprises the steps of metal material surface preparation, determination of gray threshold values of microcracks, inclusions and other feature structures, setting of energy disperse spectroscopy analysis parameters, scanning electron microscope full-automatic acquisition of feature structure images in a large-size range, and in-situ quantitative statistical distribution characterization of microcracks in a large-size range. Feature extraction and energy spectrum analysis, screening and identification of microcracks, and in-situ quantitative statistical distribution characterization of the number, the area fraction, the length and the like. According to the characteristic that grinding materials and polishing material components can be embedded into microcracks on the metal surface in the metallographic sample preparation process, data mining and screening are carried out by extracting a back scattering electron image of a metallographic surface characteristic object and combining an energy spectrum analysis result and morphological quantitative parameters; according to the method, the inclusion is analyzed, meanwhile, rapid positioning, recognition and quantitative statistics of the surface microcracks are achieved, the method is accurate and efficient, and meanwhile the detection resolution of the microcracks is greatly improved and can be as low as the micron level.

Description

technical field [0001] The invention relates to the technical field of microstructure analysis of metal materials, in particular to a method for identifying and characterizing in-situ quantitative statistical distribution of microcracks on the surface of metal materials. Background technique [0002] After the process of smelting, solidification and forging, metal materials inevitably produce metallurgical defects such as segregation, inclusion, porosity and delamination inside and on the surface of the material, and cracks will occur in some weak parts of the material under the action of thermal stress. The service life and service performance of materials have a great impact. Therefore, defects and cracks on the surface and interior of materials must be identified and characterized. For example, the surface crack of bearing steel finished product is the main problem of bearing steel wire, and the control of crack size within 50μm becomes the bottleneck of bearing steel qua...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for the identification of microcracks on the surface of metal materials and the in-situ quantitative statistical distribution characterization method, which uses scanning electron microscope automatic image acquisition, characteristic structure energy spectrum component analysis and target screening method to analyze the microcracks on the surface of metal materials. Identify cracks, and perform in-situ quantitative statistical distribution characterization of the number, area fraction, and length of micro-cracks to solve the problems of low identification reliability, poor quantification, low resolution, and statistical representativeness in traditional methods for identification and characterization of micro-cracks in metal materials. sexual inadequacy

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