Towards efficient microstructural design and hardness prediction of bearing steels — an integrated experimental and numerical study
Towards efficient microstructural design and hardness prediction of bearing steels — an integrated experimental and numerical study
The present work develops a numerical approach combining thermodynamic and kinetic simulations to investigate the austenitisation process on spheroidised bearing steel. The approach incorporates the dissolution of spheroidised cementite present prior to austenitisation and the influence of austenitisation temperature. It allows predictions including the chemical driving force of austenite formation, the evolution of phase constituents and their chemical compositions during austenitisation, as well as an assessment on the austenite stability upon quenching. The calculated results further allow to predict the hardness of the produced martensitic steels. The model predictions are validated against experimental data in two commercial bearing steels with six austenitisation processes. Good agreement between the experimental results and numerical predictions is obtained on the steel microstructure, austenite stability and material hardness. In addition, comparison of the two steels show that 100Cr6 requires to be austenitised at temperatures 10 °C higher than 100CrMnSi6-4, to achieve the same driving force for austenite formation, and 20 °C higher to achieve identical austenite stability upon quenching. The method can be adopted beyond bearing steels to design austenitisation processing schedules.
Austenite, Austenitisation, Hardness, Microstructure design, Steel with spheroidal cementite, Transformation kinetics
464-475
Cui, Wen
f46a0266-d77b-42c9-bae0-e93df5423aef
San-Martín, David
3cb4e081-1f6f-4f63-a25f-30613c3288a1
Rivera-Díaz-del-Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2
21 September 2017
Cui, Wen
f46a0266-d77b-42c9-bae0-e93df5423aef
San-Martín, David
3cb4e081-1f6f-4f63-a25f-30613c3288a1
Rivera-Díaz-del-Castillo, Pedro E.J.
6e0abc1c-2aee-4a18-badc-bac28e7831e2
Cui, Wen, San-Martín, David and Rivera-Díaz-del-Castillo, Pedro E.J.
(2017)
Towards efficient microstructural design and hardness prediction of bearing steels — an integrated experimental and numerical study.
Materials and Design, 133, .
(doi:10.1016/j.matdes.2017.08.013).
Abstract
The present work develops a numerical approach combining thermodynamic and kinetic simulations to investigate the austenitisation process on spheroidised bearing steel. The approach incorporates the dissolution of spheroidised cementite present prior to austenitisation and the influence of austenitisation temperature. It allows predictions including the chemical driving force of austenite formation, the evolution of phase constituents and their chemical compositions during austenitisation, as well as an assessment on the austenite stability upon quenching. The calculated results further allow to predict the hardness of the produced martensitic steels. The model predictions are validated against experimental data in two commercial bearing steels with six austenitisation processes. Good agreement between the experimental results and numerical predictions is obtained on the steel microstructure, austenite stability and material hardness. In addition, comparison of the two steels show that 100Cr6 requires to be austenitised at temperatures 10 °C higher than 100CrMnSi6-4, to achieve the same driving force for austenite formation, and 20 °C higher to achieve identical austenite stability upon quenching. The method can be adopted beyond bearing steels to design austenitisation processing schedules.
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Accepted/In Press date: 5 August 2017
e-pub ahead of print date: 8 August 2017
Published date: 21 September 2017
Keywords:
Austenite, Austenitisation, Hardness, Microstructure design, Steel with spheroidal cementite, Transformation kinetics
Identifiers
Local EPrints ID: 492414
URI: http://eprints.soton.ac.uk/id/eprint/492414
ISSN: 0264-1275
PURE UUID: 14d679d7-255d-4ac6-9c27-c6d383e0150e
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Date deposited: 26 Jul 2024 16:32
Last modified: 27 Jul 2024 02:08
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Contributors
Author:
Wen Cui
Author:
David San-Martín
Author:
Pedro E.J. Rivera-Díaz-del-Castillo
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