Intermetallic Composition Mapping for Dissimilar-Metal Welds
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Solution Overview
Problem
Existing methods for analyzing intermetallic compounds (IMCs) in dissimilar metal welding are time-consuming and difficult to perform quantitative analysis of the entire weld area, lacking an intuitive understanding of weld quality.
Innovation Solution
A method and apparatus utilizing a database to store data on feature areas, brightness ranges, and color data for intermetallic compounds, combined with a microscope image acquisition unit, signal processor, and image processor to generate a colorization image for rapid quantitative analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct analysis method using SEM and TEM is used, then measurement precision of intermetallic compound composition is improved, but analysis time and productivity deteriorate
Solution Approach 1:
The patent creates a database in advance storing the relationship between brightness values and intermetallic compound compositions. During actual analysis, the system only needs to acquire brightness values and query the pre-prepared database, eliminating the need for time-consuming microscope image acquisition and manual analysis for each sample. This preliminary preparation of reference data enables rapid composition determination while maintaining accuracy.
Solution Approach 2:
The patent creates a simplified copy of the complex analysis process by storing brightness-value-to-composition mappings in a database. Instead of performing full microscopic analysis each time, the system uses pre-extracted brightness characteristics as proxies, allowing rapid composition estimation without repeating the entire measurement process while preserving the essential analytical information.
2Measurement precision
If direct analysis method using SEM and TEM is used, then measurement precision of intermetallic compound composition is improved, but time consumption for analyzing entire weld area worsens
Solution Approach 1:
The patent creates a database in advance storing the relationship between brightness values and intermetallic compound compositions. During actual analysis, the system only needs to acquire brightness values and query the pre-prepared database, eliminating the need for time-consuming microscope image acquisition and manual analysis for each sample. This preliminary preparation of reference data enables rapid composition determination while maintaining accuracy.
Solution Approach 2:
The patent replaces the mechanical process of manual microscope analysis with an automated image processing and database query system. By substituting human-operated SEM/TEM analysis with automated brightness measurement and database lookup, the system achieves both precision and speed, eliminating the time loss associated with manual analysis of entire weld areas.
3Reliability
If quantitative analysis of entire weld area is performed, then completeness of quality assessment is improved, but analysis time and operational complexity worsen
Solution Approach 1:
The patent merges multiple analysis steps into a single integrated process: image acquisition, brightness value extraction, database querying, and composition determination are combined into one automated workflow. This unified approach enables complete quantitative analysis of the entire weld area without requiring separate manual operations for each step, improving both completeness and ease of operation.
Solution Approach 2:
The patent enables the analysis system to perform self-service by automatically acquiring images, extracting brightness values, querying the database, and generating composition maps without requiring manual intervention for each analysis step. The system serves itself by having the image processing unit automatically feed data to the database query mechanism, making comprehensive analysis simple and automated.
Data Source
AI summary
A apparatus for analyzing a composition of an intermetallic compound includes a database storing data of a plurality of feature areas matched to respective composition ratios, a plurality of brightness range data corresponding to the plurality of respective feature areas, and color data, for an intermetallic compound generated during welding of dissimilar metals, a microscope image acquisition unit acquiring an electron microscope image including a brightness value for the intermetallic compound to be analyzed, a signal processor extracting a unit brightness value corresponding to each preset image basic unit from the electron microscope image and searching for color data of a corresponding feature area from the database based on the unit brightness value, and an image processor applying searched color data to the electron microscope image and generating a colorization image.