Bambach, M.; Heppner, S.; Steinmetz, D.; Roters, F.: Assessing and ensuring parameter identifiability for a physically-based strain hardening model for twinning-induced plasticity. Mechanics of Materials 84, pp. 127 - 139 (2015)
Roters, F.; Steinmetz, D.; Wong, S. L.; Raabe, D.: Crystal Plasticity Implementation of an Advanced Constitutive Model Including Twinning for High Manganese Steels. MSE 2014
, Darmstadt, Germany (2014)
Roters, F.; Steinmetz, D.; Wong, S. L.; Raabe, D.: Crystal Plasticity Implementation of an Advanced Constitutive Model Including Twinning for High Manganese Steels. 2nd International Conference High Manganese Steel, HMnS 2014
, Aachen, Germany (2014)
Steinmetz, D.; Roters, F.; Eisenlohr, P.; Raabe, D.: A dislocation density-based constitutive model for TWIP steels. 1st International Conference on High Manganese Steels, Seoul, South Korea (2011)
Steinmetz, D.; Zaefferer, S.: Currents state of the art in EBSD: Possibilities and limitations. Seminar Talk at Ludwig-Maximilians-Universität, München, Germany (2011)
Steinmetz, D.; Zaefferer, S.: Improving the physical resolution of electron backscatter diffraction by decreasing accelerating voltage. EBSD 2010 Meeting, Rolls-Royce Leisure Association, Derby, UK (2010)
Steinmetz, D.; Zaefferer, S.: Quantitative determination of twin volume fraction in TWIP steels by high resolution EBSD. Materials Science and Technology (MS&T) 2010, Pittsburgh, PA, USA (2009)
Steinmetz, D.; Zaefferer, S.: Challenges of low-accelerating voltage electron backscatter diffraction. 3rd International Conference on Texture and Anisotropy of Polycrystals (ITAP-3), Göttingen, Germany (2009)
Steinmetz, D.; Zaefferer, S.: Towards ultrahigh resolution EBSD by use of low accelerating voltage. EBSD 2009 Meeting, University of Swansea, Wales, UK (2009)
Steinmetz, D.: A constitutive model of twin nucleation and deformation twinning in High-Manganese Austenitic TWIP steels. Dissertation, RWTH Aachen, Aachen, Germany (2013)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…