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Hot Deformation Process Analysis and Modelling of X153CrMoV12 Steel

Metals. 2019;9(10):1125 DOI 10.3390/met9101125

 

Journal Homepage

Journal Title: Metals

ISSN: 2075-4701 (Print)

Publisher: MDPI AG

LCC Subject Category: Technology: Mining engineering. Metallurgy

Country of publisher: Switzerland

Language of fulltext: English

Full-text formats available: PDF, HTML

 

AUTHORS


Michal Krbaťa (Faculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia)

Maroš Eckert (Faculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia)

Daniel Križan (Research and Development Department, Business Unit Coil. Voestalpine Steel Division GmbH, 4020 Linz, Austria)

Igor Barényi (Faculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia)

Ivana Mikušová (Faculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 11 weeks

 

Abstract | Full Text

Analysis of the high temperature plastic behavior of high-strength steel X153CrMoV12 was developed in the temperature range of 800&#8722;1200 &#176;C and the deformation rate in the range of 0.001&#8722;10 s<sup>&#8722;1</sup> to the maximum value of the true strain 0.9%. Microstructural changes were observed using light optical microscopy (LOM) as well as atomic force microscopy (AFM). The effect of hot deformation temperature on true stress, peak stress and true strain was evaluated from the respective flow curves. Based on these results, steel transformation was discussed from the dynamic recovery and recrystallization point of view. Furthermore, a present model, taking into account the Zener&#8722;Hollomon parameter, was developed to predict the true stress and strain over a wide range of temperatures and strain rates. Using constitutive equations, material parameters and activation energy were derived, which can be subsequently applied to other models related to hot deformation behavior of selected tool steels. The experimental data were compassed to the ones obtained by the predictive model with the correlation coefficient <i>R</i> = 0.98267. These results demonstrate an appropriate applicability of the model for experimental materials in hot deformation applications.