Material Data Analysis Using XRD and Machine Learning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for quantitative analysis of mineral phases in sintered ore, such as the XRD-Rietveld method, rely solely on predetermined analysis techniques and fail to leverage data-driven approaches, limiting the extraction of comprehensive information about material properties.
Innovation Solution
An information processing device and method that combines a first analysis method (e.g., XRD) with a second analysis method (e.g., machine learning) to receive, analyze, and transmit data, enabling the generation of additional analysis results that reveal relationships between material data and other relevant data, aligning numerical ranges and grid spacings for consistency, and reconstructing data for specific regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predetermined analysis method (e.g., XRD-Rietveld) is used for material analysis, then analysis results can be obtained using established techniques, but the ability to obtain comprehensive information about material properties is limited
Solution Approach 1:
The patent combines a predetermined analysis method (first analysis method, e.g., XRD-Rietveld) with a data-driven analysis method (second analysis method, e.g., machine learning) to process the same material data. This merging allows the system to leverage both the reliability of established techniques and the information-extraction capability of data-driven approaches, thereby obtaining comprehensive material property information without losing valuable insights
2Ease of operation
If only a single analysis method is applied to material data, then the analysis process remains simple, but more information about material properties cannot be obtained
Solution Approach 1:
The patent segments the analysis process into two independent analysis paths: a first analysis method that processes material data to generate first analysis result data, and a second analysis method that processes the same material data to generate second analysis result data. This segmentation allows each method to operate independently and simply, while their combined results provide comprehensive material property information
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 users to obtain more detailed information about material properties, including relationships between multiple data sets, predicting physical properties, and allowing for later review of analysis results, thereby overcoming the limitations of single-method analysis.
Implementation Method 1
technology related to quantitative analysis of mineral phases in sintered ore using an XRD-Rietveld method
Implementation Method 2
employs the Rietveld method for fitting to an overall X-ray diffraction pattern using a least squares method
Data Source
AI summary
An information processing device receives material data related to a material, from a user terminal. The information processing device performs analysis on the material data using a predetermined first analysis method and generates first analysis result data that is an analysis result from the first analysis method. The information processing device performs analysis on the received material data using a second analysis method and generates second analysis result data that is an analysis result expressing a relationship between the received material data and data different from the received material data. The information processing device transmits the first analysis result data and the generated second analysis result data to the user terminal.