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説明:

This study examines how many SEM-BSE images are needed for reliable phase-fraction analysis of a four-phase MoSiBTiC alloy. A machine-learning-assisted segmentation workflow achieved 98.4% pixel accuracy and reduced the processing time for 100 images from about 300 days to one working day. Bootstrap analysis showed that using only a few images can cause errors above 15%, especially for TiC. About 60 images at 2000× are needed to limit sampling uncertainty in fracture-toughness estimates to the level of experimental error.

権利情報:

• Creative Commons BY Attribution 4.0 International
  

キーワード: MoSiBTiC alloy, Scanning electron microscopy, Image segmentation, Machine learning, Bootstrap resampling, Fracture toughness

刊行年月日: 2026-07-30

出版者: Elsevier BV

掲載誌:

• Journal of Materials Research and Technology (ISSN: 22387854) vol. 44 p. 1373-1384

研究助成金:

• Tohoku University
• Japan Society for the Promotion of Science JP21H04606
• Government of Japan Ministry of Education Culture Sports Science and Technology JPMXP1122684766

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1016/j.jmrt.2026.07.282

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更新時刻: 2026-09-16 10:47:16 +0900

MDRでの公開時刻: 2026-09-16 12:27:18 +0900