EBSD Crystal Structure Visualization for Faster Orientation Analysis
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Solution Overview
Problem
Existing crystal structure analysis methods using Electron Backscatter Diffraction (EBSD) struggle to effectively analyze and visualize the distribution of crystal directions in solid materials, requiring significant computational resources and time to identify connection patterns.
Innovation Solution
A crystal structure analysis apparatus and method that includes an EBSD data acquisition module, image generation, clustering, image processing, and rendering modules to generate and visualize crystal structures using color-coded clusters and overlapping figures, allowing users to intuitively analyze crystal structures through a web-based application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional EBSD data analysis methods are used, then crystal structure information can be obtained, but the analysis process requires significant computational resources and time
Solution Approach 1:
The patent replaces traditional computational analysis methods with a visual-based analysis system. Instead of relying on complex computational algorithms to process EBSD data, the system converts crystal orientation data into visual representations (colors, shapes, patterns) that can be directly observed and analyzed, substituting computational processing with visual perception
Solution Approach 2:
The patent applies color-coding to represent different crystal orientations and phases in the EBSD data. By mapping crystallographic information to visual color properties, the system enables rapid identification of crystal structure patterns without extensive computational analysis, directly addressing the need for faster analysis with reduced computational resources
2Measurement precision
If detailed crystal direction distribution is analyzed, then accurate crystal structure information is obtained, but the complexity of data processing increases
Solution Approach 1:
The patent transforms complex crystal orientation data from abstract numerical values into visual dimensions (color, shape, size, position) that can be simultaneously perceived. This dimensional transformation allows detailed crystal direction information to be presented in a visually accessible format, maintaining measurement precision while reducing processing complexity through intuitive visual representation
3Loss of information
If connection patterns in crystal directions are identified through traditional methods, then crystal structure relationships are revealed, but the process requires extensive time
Solution Approach 1:
The patent performs preliminary visualization of crystal orientation data before detailed analysis. By pre-processing EBSD data into visual patterns and color-coded representations, the system enables researchers to quickly identify potential connection patterns and relationships without time-consuming computational analysis, allowing for rapid assessment and targeted detailed study
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and rapid analysis of crystal structures by visually representing crystal direction distribution, reducing the need for extensive computing resources and time, and facilitating quick identification of connection patterns.
Implementation Method 1
Electron Backscatter Diffraction (EBSD) is mounted on a scanning electron microscope and may analyze the orientation of the material by detecting reflected electrons (rear scattering electrons) when accelerated electrons are injected into the sample
Data Source
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AI summary
Provided is a crystal structure analysis apparatus and method. The crystal structure analysis apparatus includes: an Electron Backscatter Diffraction (EBSD) data acquisition module for acquiring EBSD data for a solid material; an image generation module for generating a shape of the solid material as a first image including a plurality of pixels; a clustering module for performing clustering on the plurality of pixels by using the EBSD data so that the first image includes a plurality of clusters each representing a first index of a crystal in a first color; an image processing module for processing the first image to generate a second image so that a second index associated with the first index is displayed as an overlapping figure on the plurality of clusters; and a rendering module for rendering the second image to a display region.