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Ab initio-guided design of twinning-induced plasticity steels

Published online by Cambridge University Press:  06 April 2016

Dierk Raabe
Affiliation:
Max-Planck-Institut für Eisenforschung, and RWTCH Aachen University, Germany; [email protected]
Franz Roters
Affiliation:
Max-Planck-Institut für Eisenforschung, Germany; [email protected]
Jörg Neugebauer
Affiliation:
Max-Planck-Institut für Eisenforschung, Germany; email [email protected]
Ivan Gutierrez-Urrutia
Affiliation:
National Institute for Materials Science, Japan; [email protected]
Tilmann Hickel
Affiliation:
Department of Computational Materials Design, Max-Planck-Institut für Eisenforschung, Germany; [email protected]
Wolfgang Bleck
Affiliation:
Steel Institute, RWTH Aachen University, Germany; [email protected]
Jochen M. Schneider
Affiliation:
RWTH Aachen University, Germany; [email protected]
James E. Wittig
Affiliation:
Vanderbilt University, USA; [email protected]
Joachim Mayer
Affiliation:
Central Facility for Electron Microscopy, RWTH Aachen University, and Ernst Ruska-Centre, Forschungszentrum Jülich, Germany; [email protected]
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Abstract

The twinning-induced plasticity effect enables designing austenitic Fe-Mn-C-based steels with >70% elongation with an ultimate tensile strength >1 GPa. These steels are characterized by high strain hardening due to the formation of twins and complex dislocation substructures that dynamically reduce the dislocation mean free path. Both mechanisms are governed by the stacking-fault energy (SFE) that depends on composition. This connection between composition and substructure renders these steels ideal model materials for theory-based alloy design: Ab initio-guided composition adjustment is used to tune the SFE, and thus, the strain-hardening behavior for promoting the onset of twinning at intermediate deformation levels where the strain-hardening capacity provided by the dislocation substructure is exhausted. We present thermodynamic simulations and their use in constitutive models, as well as electron microscopy and combinatorial methods that enable validation of the strain-hardening mechanisms.

Type
Research Article
Copyright
Copyright © Materials Research Society 2016 

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