University of Oulu

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.

Precipitation versus partitioning kinetics during the quenching of low-carbon martensitic steels

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Author: Babu, Shashank Ramesh1; Jaskari, Matias2; Jarvenpää, Antti2;
Organizations: 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
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 5.1 MB)
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Language: English
Published: Multidisciplinary Digital Publishing Institute, 2020
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.

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Series: Metals
ISSN: 2075-4701
ISSN-E: 2075-4701
ISSN-L: 2075-4701
Volume: 10
Issue: 7
Article number: 850
DOI: 10.3390/met10070850
Type of Publication: A1 Journal article – refereed
Field of Science: 216 Materials engineering
Funding: 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).
EU Grant Number: (675715) MIMESIS - Mathematics and Materials Science for Steel Production and Manufacturing
Copyright information: © 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 (