Structure-based phase identification in aluminum alloys using Kikuchi band and Hough-based EBSD

Accurate phase identification in aluminum alloys is critical for optimizing material properties and performance, yet remains challenging due to the low volume fraction, compositional overlap, and morphological similarity of intermetallic phases. This study presents a comprehensive methodology for phase discrimination in a case study of AA5182, integrating optimized sample preparation—including ion milling—with high-resolution electron backscatter diffraction (EBSD) and complementary energy-dispersive X-ray spectroscopy (EDS). Kikuchi band width analysis within a conventional Hough-based indexing framework enables differentiation of structurally similar phases, including those sharing crystallographic symmetries with the aluminum matrix. The approach is validated through correlative EBSD-EDS mapping and demonstrates improved indexing reliability without reliance on computationally intensive pattern-matching algorithms. Compared to advanced techniques such as dictionary and spherical indexing, the proposed method offers a scalable, accessible solution for accurate phase identification and microstructural interpretation in complex alloy systems. These findings support both research and industrial applications, bridging the gap between advanced algorithms and routine characterization workflows. • Optimized sample prep improves EBSD pattern quality in aluminum alloys. • Kikuchi band analysis enables phase ID in structurally similar intermetallics. • EBSD-EDS mapping enhances phase discrimination and cross-validation. • Hough-based indexing offers scalable phase analysis without heavy computing. • Structure-based EBSD resolves limits of composition-only phase identification.

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Publication Details

Journal
Materials Today Communications
Published
2025-12-09
DOI
https://doi.org/10.1016/j.mtcomm.2025.114476
Primary Topic
Aluminum Alloy Microstructure Properties
Type
article
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article

Structure-based phase identification in aluminum alloys using Kikuchi band and Hough-based EBSD

John E. Carsley, Sivaji Karna, Xiao-Xiang Yu, P.J. Nolan et al.
Materials Today Communications
Aluminum Alloy Microstructure Properties
article

Structure-based phase identification in aluminum alloys using Kikuchi band and Hough-based EBSD

John E. Carsley, Sivaji Karna, Xiao-Xiang Yu, P.J. Nolan, Zachary Haddock
article en

Abstract

Accurate phase identification in aluminum alloys is critical for optimizing material properties and performance, yet remains challenging due to the low volume fraction, compositional overlap, and morphological similarity of intermetallic phases. This study presents a comprehensive methodology for phase discrimination in a case study of AA5182, integrating optimized sample preparation—including ion milling—with high-resolution electron backscatter diffraction (EBSD) and complementary energy-dispersive X-ray spectroscopy (EDS). Kikuchi band width analysis within a conventional Hough-based indexing framework enables differentiation of structurally similar phases, including those sharing crystallographic symmetries with the aluminum matrix. The approach is validated through correlative EBSD-EDS mapping and demonstrates improved indexing reliability without reliance on computationally intensive pattern-matching algorithms. Compared to advanced techniques such as dictionary and spherical indexing, the proposed method offers a scalable, accessible solution for accurate phase identification and microstructural interpretation in complex alloy systems. These findings support both research and industrial applications, bridging the gap between advanced algorithms and routine characterization workflows. • Optimized sample prep improves EBSD pattern quality in aluminum alloys. • Kikuchi band analysis enables phase ID in structurally similar intermetallics. • EBSD-EDS mapping enhances phase discrimination and cross-validation. • Hough-based indexing offers scalable phase analysis without heavy computing. • Structure-based EBSD resolves limits of composition-only phase identification.

Materials Today CommunicationsVol. 50
University of South Carolina (US), Novel (United States) (US)
Openalex Percentile: Top 49%
Aluminum Alloy Microstructure Properties
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