Statistical Distribution Analysis Mapping Representation Method of Original Position of Material

Abstract

The invention belongs to the technical field of material characterization and in particular relates to a statistical distribution analysis mapping characterization method for an original material position. The method comprises the following steps: performing polishing corrosion on a metal sample; performing high-flux statistical distribution analysis characterization on the component content and state of the original material position; performing high-flux quantitative statistical distribution characterization on the metallographic structure of the material; performing high-flux quantitative statistical distribution characterization on the micromechanical properties of the material; and segmenting a scanning surface into multiple analysis areas, and establishing a statistical mapping model between component-structure-mechanical property basic unit data sets in the same area, establishing a component-structure-mechanical property relational database, and performing the in-situ statistical distribution analysis mapping characterization on the micro area of the material. The method disclosed by the invention provides an objective data support for researching the corresponding relationship of the component, structure and mechanical property of the material and has significance on novel material research and development, material modification and process optimization.

Description

technical field [0001] The invention belongs to the technical field of material characterization, and in particular relates to a statistical distribution analysis and mapping characterization method of the original position of a material. Background technique [0002] The chemical composition and microstructure of materials are closely related to the properties of materials, so the characterization results become an important basis for material workers to judge material properties. The current characterization methods for the chemical composition of materials include macroscopic characterization, microscopic characterization, and in-situ statistical distribution analysis characterization methods. [0003] The macroscopic characterization of the chemical composition of a material generally refers to the analysis of the average chemical composition of the material, which reflects the basic properties of the material; the analysis of the microstructure of the material is usuall...

AI Technical Summary

Problems solved by technology

[0004] The current in-situ statistical distribution analysis technology of spark source and laser source has been able to realize the statistical and quantitative distribution of the content and state of each element in different positions in the material in a large-scale range. The recently developed high-throughput digital full-field metallographic characterization analysis The instrument can realize the large-scale range (cm 2 level), automatic identification, automatic rating, and in-situ statistical distribution analysis of various metallographic structures, but how to correspond to the macroscopic mechanical properties of the obtained large amount of component content and in-situ statistical distribution information of metallographic structures remains to be done. further research

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