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.