University of Oulu

Javaheri, V., Pohjonen, A., Asperheim, J. I., Ivanov, D., & Porter, D. (2019). Physically based modeling, characterization and design of an induction hardening process for a new slurry pipeline steel. Materials & Design, 182, 108047. https://doi.org/10.1016/j.matdes.2019.108047

Physically based modeling, characterization and design of an induction hardening process for a new slurry pipeline steel

Saved in:
Author: Javaheri, Vahid1; Pohjonen, Aarne1; Asperheim, John Inge2;
Organizations: 1Materials and Mechanical Engineering, Centre for Advanced Steels Research, University of Oulu, 90014 Oulun yliopisto, Finland
2R&D, EFD Induction a.s., Skien, Norway
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 9.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019080823686
Language: English
Published: Elsevier, 2019
Publish Date: 2019-08-08
Description:

Abstract

Numerical and Gleeble experimental data are combined to predict potential microstructure and hardness profiles through the wall thickness of an induction hardened slurry transportation pipe made of a recently developed 0.4 wt% C, Nb-microalloyed steel. The calculated thermal history of various positions through the wall thickness of an industrial pipe (400 mm diameter, 10 mm thick) were combined with a model that predicts the phase transformations, microstructures and final hardness values on heating and cooling along arbitrary thermal cycles. The accuracy of the hardness profile predictions was verified by experimental data, i.e. reproducing the thermal cycles on a Gleeble thermomechanical simulator. The results indicated that the approach should be a feasible way to optimize induction heating and cooling parameters to obtain desired hardness profiles through the wall thickness.

see all

Series: Materials & design
ISSN: 0264-1275
ISSN-E: 1873-4197
ISSN-L: 0264-1275
Volume: 182
Article number: 108047
DOI: 10.1016/j.matdes.2019.108047
OADOI: https://oadoi.org/10.1016/j.matdes.2019.108047
Type of Publication: A1 Journal article – refereed
Field of Science: 216 Materials engineering
Subjects:
Funding: The authors are grateful for 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.
EU Grant Number: (675715) MIMESIS - Mathematics and Materials Science for Steel Production and Manufacturing
Copyright information: © 2019 The Author(s). Published by Elsevier Ltd.This is an open access article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
  https://creativecommons.org/licenses/by-nc-nd/4.0/