Abstract: A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (1), a surface treatment unit (2), a material positioning unit (3), a LIBS analysis and detection unit (4), a transfer unit (5) and a sorting and recovery unit (6). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.

Abstract: The invention relates to a full-field statistical & characterizing method of fluid micro-explored strain for alloy microstructure, comprising the following steps: a. grinding and polishing the surface of an alloy sample to mirror with no grinding defects, and then determining a to-be-measured area on the surface of the alloy sample; b. utilizing a white light interferometry 3D surface profiler to perform initial morphology measurement on the surface of an alloy sample; c. utilizing an isostatic pressing technology to obtain the microstructure deformation on the surface of the alloy sample, and then utilizing a white light interferometry 3D surface profiler to perform deformed morphology measurement on the surface of the alloy sample to obtain a changing spectrum of micro morphology of the microstructures on the surface of the alloy; and d.

Abstract: The invention belongs to the technical field of the quantitative statistical distribution analysis of the features from characteristic images of microstructures and precipitated phases in metal materials, and relates to a quantitative statistical distribution characterization method of precipitate particles with the full field of view in a metal material. The method comprises the following steps of electrolytic corrosion of a metallic material specimen, automatic collection of characteristic images of microstructure, automatic stitching and fusion of the full-view-field microstructure images, automatic identification and segmentation of the precipitate particles and quantitative distribution characterization of the precipitate particles with the full field of view in a large-range scale.

Abstract: The invention relates to a full-field statistical & characterizing method of fluid micro-explored strain for alloy microstructure, comprising the following steps: a. grinding and polishing the surface of an alloy sample to mirror with no grinding defects, and then determining a to-be-measured area on the surface of the alloy sample; b. utilizing a white light interferometry 3D surface profiler to perform initial morphology measurement on the surface of an alloy sample; c. utilizing an isostatic pressing technology to obtain the microstructure deformation on the surface of the alloy sample, and then utilizing a white light interferometry 3D surface profiler to perform deformed morphology measurement on the surface of the alloy sample to obtain a changing spectrum of micro morphology of the microstructures on the surface of the alloy; and d.