Tetsu-to-Hagane
Online ISSN : 1883-2954
Print ISSN : 0021-1575
ISSN-L : 0021-1575
Volume 111, Issue 1
Displaying 1-4 of 4 articles from this issue
Publication Data
  • 2025 Volume 111 Issue 1 Pages Contents-
    Published: January 01, 2025
    Released on J-STAGE: January 01, 2025
    JOURNAL OPEN ACCESS
    Download PDF (1495K)
  • 2025 Volume 111 Issue 1 Pages Editorial-
    Published: January 01, 2025
    Released on J-STAGE: January 01, 2025
    JOURNAL OPEN ACCESS
    Download PDF (207K)
Chemical and Physical Analysis
Regular Article
  • Hiroshi Imoto, Kaoru Sato, Kenji Ogata
    Article type: Regular Article
    2025 Volume 111 Issue 1 Pages 1-8
    Published: January 01, 2025
    Released on J-STAGE: January 01, 2025
    Advance online publication: October 25, 2024
    JOURNAL OPEN ACCESS FULL-TEXT HTML

    Multi-phase steels are often used to realize a combination of high strength and toughness and/or ductility. To optimize their mechanical properties, it is vital to accurately evaluate the grain size, hard phase size and distribution, and dislocation density. In this paper, we studied a new method for evaluating the morphology and phase fraction of the hard phase, i.e., the martensite-austenite constituent (M-A), which is an important component that governs the mechanical properties of high strength steels. Using a scanning electron microscope, martensite can be selectively visualized with a bright contrast by collecting high-angle backscattered electrons. This method identifies only martensite in isolation from other phases, whereas both martensite and austenite are highlighted with the conventional two-step etching method. In addition, machine learning image analysis allows accurate extraction of martensite even in the presence of inhomogeneous backscattered electron image contrast in the matrix. This method provides an accurate and simple evaluation of the morphology of martensite in multi-phase steels over a large area.

Mechanical Properties
Regular Article
  • Genya Nakamura, Akihiko Iwasaka, Yoshiyuki Furuya, Koji Takahashi
    Article type: Regular Article
    2025 Volume 111 Issue 1 Pages 9-19
    Published: January 01, 2025
    Released on J-STAGE: January 01, 2025
    Advance online publication: November 28, 2024
    JOURNAL OPEN ACCESS FULL-TEXT HTML

    Additive-manufacturing technology has attracted attention for the fabrication of components with complex shapes. However, the low fatigue strength of the metals produced via additive manufacturing poses a significant challenge. In this study, rotating–bending fatigue tests were performed on additive-manufactured maraging steel up to the very-high-cycle fatigue (VHCF) range (108 cycles). The effect of laser peening (LP) on the fatigue strength was examined. The LP introduced compressive residual stress near the surface, whereas tensile residual stress was generated internally. The fracture initiation point of the non-LP specimen was observed at the surface in the low-cycle range and in the interior in the VHCF range. In contrast, all the LP specimens fractured from the interior. LP was effective for increasing the fatigue strength in the low-cycle range; however, it reduced the fatigue strength in the VHCF range. The effect of LP on the VHCF strength was examined by focusing on the stress level at the fracture initiation point. Furthermore, the distribution of the defect size on the polished and fractured surfaces of the specimens was evaluated using extreme-value statistics. The results indicated that extreme-value statistics are effective for predicting the defect size in practical applications.

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