1. Obtain any lattice coordinate position（X，Y）On top, the accurate content of each element

2. Quantitative distribution and characterization of element content changes in any line segment

3. Quantitative distribution trends and orientation characterization of various elements in different parts of the entire region

Based on massive lattice data of various elements, establish content-The characterization model of frequency statistical distribution is used to achieve cross scale statistical characterization and analysis of various parameters such as segregation degree, conformity degree, and porosity of elements in the entire (or local) area of large-sized components.

Based on a single discharge along inclusions(Precipitation phase)The theory of boundary diffusion discharge is used to establish a relevant characterization model for the distribution of inclusion states, achieving the global (or local) representation of large-sized components

1. Classification and quantitative characterization of inclusions
2. Characterization of particle size distribution of inclusions

3. Characterization of location distribution of inclusions

By adopting a three in one systematic proprietary technology of automatic component processing, precise scanning and positioning, and spectral quantitative analysis, seamless connection between sample processing and analysis measurement has been achieved.

By adopting adaptive simulation matching scanning technology, it is possible to adapt to the different shapes of samples and analyze the in-situ statistical distribution of samples with sizes smaller than1000mm * 510mm.

1. High speed data acquisition and processing technology achieves real-time data and scanning synchronization

2. Based on massive data and specialized models, implement a series of parameters (including the content of each element)/Visual representation of statistical distribution of inclusions, etc. (frequency distribution map, one-dimensional distribution map of specific line segments, two-dimensional view of profiles, three-dimensional view of profiles, etc.)

1. Characterization of Component Segregation Degree in Oversized Metal Components

2. Characterization of anisotropic orientation of metal material components

3. High throughput in situ statistical mapping characterization of material genomics engineering