University of Oulu

Pohjonen, A., Somani, M., Porter, D. (2018) Modelling of austenite transformation along arbitrary cooling paths. Computational Materials Science, 150, 244-251. doi:10.1016/j.commatsci.2018.03.052

Modelling of austenite transformation along arbitrary cooling paths

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Author: Pohjonen, Aarne1; Somani, Mahesh1; Porter, David1
Organizations: 1University of Oulu, Materials and Production Technology
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018081633710
Language: English
Published: Elsevier, 2018
Publish Date: 2018-08-16
Description:

Abstract

A computational model based on the Johnson-Mehl-Avrami-Kolmogorov equation for simulating the onset and kinetics of austenite to bainite and martensite transformation has been fitted to experimental continuous cooling data for two different steels. We investigated how deformation below recrystallization temperature affected the transformation onset and kinetics in comparison to the same steel in the undeformed state. The fitted model can be used to simulate phase transformations occurring when the steel is cooled along any cooling path. The model can be fully coupled to heat transfer and conduction simulations in order to optimize cooling practice, for example in industrial thermomechanical processing of steel. The fitted model can also be used to predict the hardness of the steel after cooling.

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Series: Computational materials science
ISSN: 0927-0256
ISSN-E: 1879-0801
ISSN-L: 0927-0256
ISBN Print: 2018
Volume: 150
Pages: 244 - 251
DOI: 10.1016/j.commatsci.2018.03.052
OADOI: https://oadoi.org/10.1016/j.commatsci.2018.03.052
Type of Publication: A1 Journal article – refereed
Field of Science: 216 Materials engineering
Subjects:
Funding: The work described in this paper was made as a part of a research and development programme known as System Integrated Metals Processing (SIMP) which was coordinated by DIMECC Oy (Digital, Internet, Materials and Engineering Co-Creation). The financial support of the Finnish Funding Agency for Technology (Tekes) is gratefully acknowledged.
Copyright information: © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
  https://creativecommons.org/licenses/by/4.0/