Driving martensitic transformation through pre-cold deformation: Unveiling the mechanism of microstructural evolution in martensite bearing steel

• Finding that pre-cold deformation treatment leads to a decrease in the degree of carbide dissolution during the austenitizing process, and large deformation will lead to carbide precipitation. • The grain refinement makes the martensite undergo strong variation selection during the phase transformation process. • Pre-cold deformation treatment affects the martensitic transformation mechanism,which increase the intrinsic nucleation rate and reduce the autocatalytic nucleation rate of martensite. • Revealing the influence of the difference of crystallographic characteristics on the impact toughness of bearing steel, and establishing a relationship linking crystallography, phase transitions, and mechanical properties. Bearing steel is used to produce bearing components through preforming processes, such as cold heading and cold rolling, prior to heat treatment. Cold rolling is a key developmental direction for manufacturing high-performance bearing. This research comprehensively examines how pre-cold deformation affects the microstructural evolution and mechanical characteristics of martensitic bearing steel. The findings suggest that pre-cold deformation reduces the original austenite grain size decreases by half, and the cementite particles become more uniformly distributed. Simultaneously, pre-cold deformation treatment considerably increases the bearing steel hardness from 715HV to 768HV whilst maintaining its toughness. The homogenisation of cementite size and the increase in hardness enhance the wear resistance of the samples by 34%. Furthermore, we explores the microstructural evolution mechanisms during subsequent phase transformations: the bearing steel in the process of martensitic transformation, the pre-cold deformation treatment leads to a strong variant selection, which increases the intrinsic nucleation rate and reduces the autocatalytic nucleation rate of martensite. The change of nucleation positions causes the great differences in the crystallography of the samples. The martensite twins transforming into twinned variants that adhere to the Kurdjumov-Sachs orientation relationship. In this study, we have established a relationship linking crystallography, phase transitions, and mechanical properties.

Authors

Institutions

Publication Details

Journal
Materials & Design
Published
2025-03-01
DOI
https://doi.org/10.1016/j.matdes.2025.113788
Citations
10
Primary Topic
Microstructure and Mechanical Properties of Steels
Type
article
Field-Weighted Citation Impact
7.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Driving martensitic transformation through pre-cold deformation: Unveiling the mechanism of microstructural evolution in martensite bearing steel

Ruiqing Dong, Decheng Jia, Fucheng Zhang, Zhinan Yang et al.
10 citations
Materials & Design
Microstructure and Mechanical Properties of Steels
7.13
article

Driving martensitic transformation through pre-cold deformation: Unveiling the mechanism of microstructural evolution in martensite bearing steel

Ruiqing Dong, Decheng Jia, Fucheng Zhang, Zhinan Yang, Haida Zhang, Xiaoyong Feng, Xinliang Gao, Chunsheng Zhang
article en
10 citations

Abstract

• Finding that pre-cold deformation treatment leads to a decrease in the degree of carbide dissolution during the austenitizing process, and large deformation will lead to carbide precipitation. • The grain refinement makes the martensite undergo strong variation selection during the phase transformation process. • Pre-cold deformation treatment affects the martensitic transformation mechanism,which increase the intrinsic nucleation rate and reduce the autocatalytic nucleation rate of martensite. • Revealing the influence of the difference of crystallographic characteristics on the impact toughness of bearing steel, and establishing a relationship linking crystallography, phase transitions, and mechanical properties. Bearing steel is used to produce bearing components through preforming processes, such as cold heading and cold rolling, prior to heat treatment. Cold rolling is a key developmental direction for manufacturing high-performance bearing. This research comprehensively examines how pre-cold deformation affects the microstructural evolution and mechanical characteristics of martensitic bearing steel. The findings suggest that pre-cold deformation reduces the original austenite grain size decreases by half, and the cementite particles become more uniformly distributed. Simultaneously, pre-cold deformation treatment considerably increases the bearing steel hardness from 715HV to 768HV whilst maintaining its toughness. The homogenisation of cementite size and the increase in hardness enhance the wear resistance of the samples by 34%. Furthermore, we explores the microstructural evolution mechanisms during subsequent phase transformations: the bearing steel in the process of martensitic transformation, the pre-cold deformation treatment leads to a strong variant selection, which increases the intrinsic nucleation rate and reduces the autocatalytic nucleation rate of martensite. The change of nucleation positions causes the great differences in the crystallography of the samples. The martensite twins transforming into twinned variants that adhere to the Kurdjumov-Sachs orientation relationship. In this study, we have established a relationship linking crystallography, phase transitions, and mechanical properties.

Materials & DesignVol. 252
North China University of Science and Technology (CN), Yanshan University (CN)
Sustainable cities and communities
Openalex Percentile: Top 3%
Microstructure and Mechanical Properties of Steels
7.13
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.