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説明:

Plastic deformation in metallic materials is generally governed by highly localized and intrinsi-cally heterogeneous deformation processes, including crystallographic slip banding, deforma-tion twinning, phase transformation and grain-boundary sliding. These mechanisms operate atthe sub-grain scale where they are competing, interacting, and are sometimes incompatible forshort-range transmission due to deformation confinement within individual grains. The het-erogeneous nature of irreversible deformation at the microstructure scale also applies at themesoscale, i.e. the scale of the crystalline aggregate. Capturing experimentally the discrete andheterogeneous deformation processes at the microstructure scale is essential to understandelementary deformation processes involved for specific loading conditions, quantifying theirintensity to finally achieve a better dialogue with numerical models of crystal plasticity for theprediction of mechanical behavior and the lifetime of parts. High-resolution digital imagecorrelation (HR-DIC), implemented on scanning electron microscopy images, has emerged asa key technique to quantify these phenomena by providing full-field measurements of in-planedisplacement and strain at sub-micron spatial resolution over statistically representative fieldsof view. This review outlines the experimental foundations, data-processing strategies, andcorrelative analysis frameworks that underpin the use of HR-DIC for studying strain localizationin metals.

権利情報:

• Creative Commons BY Attribution 4.0 International
  

キーワード: High-resolution digital image correlation, strain localization, crystal plasticity, data merging, metallic materials, machine learning

刊行年月日: 2026-12-31

出版者: Informa UK Limited

掲載誌:

• Science and Technology of Advanced Materials (ISSN: 14686996) vol. 27 issue. 1 2630488

研究助成金:

• Centre National de la Recherche Scientifique CIN&MAT
• European Research Council 948007
• Royal Society International Science Partnerships Fund International Collaboration Award Grant No. ICA\R2
• National Science Foundation DMR CAREER 2338346
• The Netherlands Organisation for Scientific Research 019.232EN.026

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1080/14686996.2026.2630488

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更新時刻: 2026-03-12 14:17:07 +0900

MDRでの公開時刻: 2026-03-12 17:49:31 +0900