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. https://doi.org/10.3384/ecp20176139
Semi-automatic optimization of steel heat treatments for achieving desired microstructure
|Author:||Pohjonen, Aarne1; Javaheri, Vahid1; Paananen, Joni1;|
1Materials and Mechanical Engineering, University of Oulu, Finland
2SSAB Europe, Finland
|Online Access:||PDF Full Text (PDF, 1.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202103197896
Linköping University Electronic Press,
|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.
Linköping electronic conference proceedings
|Pages:||139 - 145|
Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland
|Host publication editor:||
International Conference of Scandinavian Simulation Society, SIMS
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
216 Materials engineering
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 (Academy of Finland Funding decision)
© 2020 The authors. Creative Commons Attribution 4.0 (CC-BY) licence.