Martensitic variant connectivity governs surface fatigue cracking in a motorcycle valve spring

Premature fatigue failure of shot-peened high-strength springs is usually attributed to surface defects, corrosion, inclusions, decarburization, or insufficient compressive residual stress. Here, a motorcycle valve spring fractured from the outer surface after 6.21 × 10 6 cycles, far below the required life of 2.30 × 10 7 cycles, although no conventional crack-origin defects or residual-stress deficiency were detected. The crack-origin region retained a compressive residual stress of approximately −400 MPa and contained relatively coarse prior-austenite grains, but showed neither pronounced coarse martensitic blocks nor obvious soft/hard mechanical contrast. Instead, EBSD-based crystallographic reconstruction reveals a previously overlooked role of connected martensitic close-packed and Bain-group domains can provide continuous slip pathways for cyclic slip localization and defect-free surface crack initiation. PAG refinement fragmented this variant network and introduced dense crystallographic barriers, thereby suppressing this failure mode. These findings identify martensitic variant connectivity as an intrinsic crystallographic origin of premature fatigue cracking in shot-peened spring steels and provide a practical microstructural strategy for improving fatigue reliability.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2026-09-01
DOI
https://doi.org/10.1016/j.rineng.2026.112745
Primary Topic
Mechanical Engineering and Vibrations Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Martensitic variant connectivity governs surface fatigue cracking in a motorcycle valve spring

Liejun Li, Xianqiang Xing, Jianping Ouyang, Zhengwu Peng et al.
Results in Engineering
Mechanical Engineering and Vibrations Research
article

Martensitic variant connectivity governs surface fatigue cracking in a motorcycle valve spring

Liejun Li, Xianqiang Xing, Jianping Ouyang, Zhengwu Peng, Baojun Guo, Chen Hu, Haixiao Ye
article en

Abstract

Premature fatigue failure of shot-peened high-strength springs is usually attributed to surface defects, corrosion, inclusions, decarburization, or insufficient compressive residual stress. Here, a motorcycle valve spring fractured from the outer surface after 6.21 × 10 6 cycles, far below the required life of 2.30 × 10 7 cycles, although no conventional crack-origin defects or residual-stress deficiency were detected. The crack-origin region retained a compressive residual stress of approximately −400 MPa and contained relatively coarse prior-austenite grains, but showed neither pronounced coarse martensitic blocks nor obvious soft/hard mechanical contrast. Instead, EBSD-based crystallographic reconstruction reveals a previously overlooked role of connected martensitic close-packed and Bain-group domains can provide continuous slip pathways for cyclic slip localization and defect-free surface crack initiation. PAG refinement fragmented this variant network and introduced dense crystallographic barriers, thereby suppressing this failure mode. These findings identify martensitic variant connectivity as an intrinsic crystallographic origin of premature fatigue cracking in shot-peened spring steels and provide a practical microstructural strategy for improving fatigue reliability.

Results in EngineeringVol. 32
Guangdong Iron and Steel Research Institute (CN), University of Hong Kong (HK), South China University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 19%
Mechanical Engineering and Vibrations Research
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.