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[X-ray diffraction quantitative analysis with polynomial-fit method for polycrystalline materials].
Quan-zhi Yu1, Lian-ke Song, Yan-ling Chi
1Laser Institute of Qufu Normal University, Qufu 273165, China.
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|March 17, 2005
Summary
This study introduces a polynomial-fit method for X-ray diffraction (XRD) quantitative analysis of polycrystalline materials. This technique accurately determines phase weight percentages by fitting mathematical models to experimental XRD data.
Area of Science:
- Materials Science
- Crystallography
- Analytical Chemistry
Context:
- Quantitative analysis of polycrystalline materials using X-ray diffraction (XRD) is crucial for material characterization.
- Traditional methods can be complex and time-consuming, requiring accurate peak identification and integration.
- Developing efficient and accurate analytical techniques is essential for advancing materials research.
Purpose:
- To present a novel polynomial-fit method for XRD quantitative analysis.
- To combine mathematical modeling with computer technology for improved accuracy.
- To accurately determine the integral intensities of diffraction peaks and weight percentages of each phase in polycrystalline mixtures.
Summary:
- The polynomial-fit method models diffraction peaks using mathematical functions and analyzes experimental XRD data via whole pattern fitting.
- This approach leverages the principle that mixture diffraction patterns are weighted superpositions of component patterns.
- The method accurately calculates phase weight percentages by fitting these models to experimental spectral lines using computer software.
Impact:
- Simplifies the data handling process in XRD quantitative analysis.
- Significantly increases the accuracy of analytical results for polycrystalline materials.
- Provides a more efficient and reliable method for phase quantification in materials science.