Babu, S.R.; Jaskari, M.; Jarvenpää, A.; Davis, T.P.; Kömi, J.; Porter, D. Precipitation Versus Partitioning Kinetics During the Quenching of Low-Carbon Martensitic Steels. Metals 2020, 10, 850. https://doi.org/10.3390/met10070850
Precipitation versus partitioning kinetics during the quenching of low-carbon martensitic steels
|Author:||Babu, Shashank Ramesh1; Jaskari, Matias2; Jarvenpää, Antti2;|
1Materials and Mechanical Engineering, Centre for Advanced Steels Research, University of Oulu, 90014 Oulu, Finland
2Kerttu Saalasti Institute, University of Oulu, Pajatie 5, FI-85500 Nivala, Finland
3Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH, UK
|Online Access:||PDF Full Text (PDF, 5.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020070146580
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2020-07-01
Low-carbon, low-alloy steels undergo auto-tempering and carbon partitioning to austenite during quenching to martensite. The microstructures of two such steels quenched at two cooling rates have been evaluated using electron microscopy to characterise lath and carbide precipitate morphologies, and the results have been compared with theoretical predictions based on the Thermo-Calc modules DICTRA and TC-Prisma. The modelling tools predicted the carbon depletion rates due to diffusion from the bcc martensite laths into austenite and the precipitation of cementite in the ferrite matrix. The predictions showed a satisfactory agreement with the metallographic results, indicating that the Thermo-Calc based software can aid in the design of new low-carbon martensitic steels.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
216 Materials engineering
The authors are grateful for the financial support from the European Commission under grant number 675715-MIMESIS-H2020-MSCA-ITN-2015, which is a part of the Marie Sklodowska-Curie Innovative Training Networks European Industrial Doctorate Programme. T.P. Davis is funded by the Clarendon Scholarship from the University of Oxford and United Kingdom’s Engineering and Physical Sciences Research Council Fusion Centre for Doctorial Training (EP/L01663X/1).
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).