Microstructure digital processing method and system for EBSD result of metal material

Through filtering, edge extraction, grain screening and merging, assignment numbering and Euler angular orientation data correlation, combined with the cellular automata model, the problem of inaccurate identification of small and grains in EBSD data processing software is solved, and efficient and accurate grain orientation data output is achieved, which is suitable for research on different types of metal materials.

CN120452629APending Publication Date: 2025-08-08XI AN JIAOTONG UNIV
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Patent Information

Application Number
CN202510539068.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-27
Publication Date
2025-08-08

AI Technical Summary

Technical Problem

The small and small grain recognition in existing EBSD data processing software is inaccurate, making it difficult to efficiently extract grain orientation information, and there are a lot of manual intervention and errors.

Method used

By correlating filtering, edge extraction, grain screening and merging, assignment numbering and Euler angular orientation data, combined with the cellular automata model, the EBSD image data can be automatically processed, and the accuracy and completeness of grain recognition are improved.

Benefits of technology

It improves the accuracy and completeness of grain recognition, reduces the error caused by manual intervention, and provides reliable data support for subsequent metal material research, adapting to the analysis needs of different types of metal materials.

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Abstract

The invention discloses a microstructure digital processing method and system for a metal material EBSD result, and the method comprises the steps: defining the physical orientation of a material, namely describing the orientation of a crystal through three continuous rotations; performing image processing on the acquired microstructure image to obtain a distribution rule of crystal grains; the microstructure of the material is re-identified and combined, and small crystal grains which cannot be identified in EBSD data processing software are eliminated; assigning the microstructure image obtained by re-identification to obtain a material microstructure segmentation result; and linking the crystal grains with Euler angle orientation exported from EBSD data processing software to obtain orientation distribution data of the microstructure of the material. On the basis of EBSD data processing software, grain distribution and Euler angle orientation information in the EBSD data processing software are extracted, the Euler angle orientation information can be used for subsequent cellular automaton model and theoretical analysis, the resolution can be adjusted according to needs, and the recognition precision is improved.
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