University of Oulu

Pohjonen, Aarne; Javaheri, Vahid; Paananen, Joni; Pyykkönen, Juha (2020) Semi-automatic optimization of steel heat treatments for achieving desired microstructure. In: E. Juuso, B. Lie, E. Dahlquist & J. Ruuska (Eds.), Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, Virtual Conference, Finland, 22-24 September 2020. Linköping electronic conference proceedings, 176, 139-145.

Semi-automatic optimization of steel heat treatments for achieving desired microstructure

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Author: Pohjonen, Aarne1; Javaheri, Vahid1; Paananen, Joni1;
Organizations: 1Materials and Mechanical Engineering, University of Oulu, Finland
2SSAB Europe, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
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Language: English
Published: Linköping University Electronic Press, 2020
Publish Date: 2021-03-19


The thermo-mechanical processing history together with the steel composition defines the final microstructure, which in turn produces the macroscopic mechanical properties of the final product. In many industrial processes it is therefore of paramount importance to find the optimal thermal path that produces the desired microstructure. In the current study an optimization method has been developed to calculate the optimal thermal path for producing desired amounts of microstructural constituents (ferrite, bainite, martensite) of a medium carbon, low-alloy steel, and a low carbon microalloyed steel. The optimization is performed for two separate industrial processes: induction hardening of a pipeline steel and a water cooling of hot rolled steel strip. The optimization workflow consists of first setting the desired amounts of microstructural constituents, and subsequent optimization of the thermal path, which produces these desired amounts. For the water cooling of a steel strip we additionally employed previously developed tool to calculate the cooling water fluxes that are needed to realize the optimized cooling path in water cooling line after hot rolling. To demonstrate the applicability of the method, we present results that were obtained for different case studies related to the industrial processes.

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Series: Linköping electronic conference proceedings
ISSN: 1650-3686
ISSN-E: 1650-3740
ISSN-L: 1650-3686
ISBN: 978-91-7929-731-2
Volume: 176
Pages: 139 - 145
DOI: 10.3384/ecp20176139
Host publication: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland
Host publication editor: Juuso, Esko
Lie, Bernt
Dahlquist, Erik
Ruuska, Jari
Conference: International Conference of Scandinavian Simulation Society, SIMS
Type of Publication: A4 Article in conference proceedings
Field of Science: 216 Materials engineering
Funding: AP and VJ acknowledge the funding from the Academy of Finland through Project #311934. JP acknowledges the funding of this research under the AMET, platform-based solutions in metallurgical industry, project, funded by Business Finland and consortion partners (2019-2021).
Academy of Finland Grant Number: 311934
Detailed Information: 311934 (Academy of Finland Funding decision)
Copyright information: © 2020 The authors. Creative Commons Attribution 4.0 (CC-BY) licence.