Fatigue Limit Doubling in High‐Strength Martensitic Steel through Crack Embryo Engineering–Cyclic‐Training‐Driven Self‐Optimization

Achieving superior fracture resistance under cyclic loading-specifically, a high-fatigue limit-is crucial for ensuring structural safety and supporting a sustainable society. This study demonstrates a breakthrough in overcoming the conventional fatigue limit ceiling in high-strength as-quenched martensitic steel by enhancing resistance to crack initiation. In the as-heat-treated state, high-angle boundaries with large elastic misfits and plastic incompatibility served as precursory sites for intrusions/extrusions (these are defined as "crack embryos"), eventually leading to fatigue crack initiation. Remarkably, after the pre-fatigue training, surface crack initiation is entirely suppressed, doubling the fatigue limit with minimal change in tensile strength. A novel concept of "crack embryo engineering" is introduced, which targets the prevention of crack embryo formation by extracting intrinsic microstructural self-optimization against fatigue deformation: macroscopic hardness homogenization and selective nano-hardening of the precursory sites. This self-optimization strategy offers a versatile approach to improving fatigue limit in general steels, providing an effective alternative to tempering heat treatment that inevitably sacrifices tensile strength.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-06-29
DOI
https://doi.org/10.1002/advs.202504165
Primary Topic
Microstructure and Mechanical Properties of Steels
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fatigue Limit Doubling in High‐Strength Martensitic Steel through Crack Embryo Engineering–Cyclic‐Training‐Driven Self‐Optimization

Akinobu Shibata, Eri Nakagawa, Kazuho Okada, Kaneaki Tsuzaki
Advanced Science
Microstructure and Mechanical Properties of Steels
article

Fatigue Limit Doubling in High‐Strength Martensitic Steel through Crack Embryo Engineering–Cyclic‐Training‐Driven Self‐Optimization

Akinobu Shibata, Eri Nakagawa, Kazuho Okada, Kaneaki Tsuzaki
article en

Abstract

Achieving superior fracture resistance under cyclic loading-specifically, a high-fatigue limit-is crucial for ensuring structural safety and supporting a sustainable society. This study demonstrates a breakthrough in overcoming the conventional fatigue limit ceiling in high-strength as-quenched martensitic steel by enhancing resistance to crack initiation. In the as-heat-treated state, high-angle boundaries with large elastic misfits and plastic incompatibility served as precursory sites for intrusions/extrusions (these are defined as "crack embryos"), eventually leading to fatigue crack initiation. Remarkably, after the pre-fatigue training, surface crack initiation is entirely suppressed, doubling the fatigue limit with minimal change in tensile strength. A novel concept of "crack embryo engineering" is introduced, which targets the prevention of crack embryo formation by extracting intrinsic microstructural self-optimization against fatigue deformation: macroscopic hardness homogenization and selective nano-hardening of the precursory sites. This self-optimization strategy offers a versatile approach to improving fatigue limit in general steels, providing an effective alternative to tempering heat treatment that inevitably sacrifices tensile strength.

Advanced ScienceVol. 12(33)
National Institute for Materials Science (JP)
Japan Society for the Promotion of Science, Japan Science and Technology Agency
Openalex Percentile: Top 85%
Microstructure and Mechanical Properties of Steels
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.