Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Perlado, J. M.; Marian, J.: An atomistically-informed crystal plasticity model to predict the temperature dependence of the yield strength of single-crystal tungsten. XXV International Workshop on Computational Micromechanics of Materials, Bochum, Germany (2015)
Roters, F.; Zhang, S.; Shantraj, P.: Including damage modelling into crystal plasticity simulation. XXV International Workshop on Computational Micromechanics of Materials, Bochum, Germany (2015)
Wong, S. L.; Roters, F.: Multiscale micromechanical modelling for advanced high strength steels including both the TRIP and TWIP effect. XXV International Workshop on Computational Micromechanics of Materials, Bochum, Germany (2015)
Diehl, M.; Eisenlohr, P.; Roters, F.; Shanthraj, P.; Reuber, J. C.; Raabe, D.: DAMASK: The Düsseldorf Advanced Material Simulation Kit for studying crystal plasticity using an FE based or a spectral numerical solver. Seminar of the Centro Nacional de Investigaciones Metalúrgicas (CENIM) del CSIC , Madrid, Spain (2015)
Roters, F.: Multi-scale Micromechanics and Damage: From Model Development to Real Systems. IEK-Kolloquium „Simulation von Energiematerialien“
, Jülich, Germany (2015)
Wong, S. L.; Roters, F.: A crystal plasticity model for advanced high strength steels including both TRIP and TWIP effect. 12th International Conference on the Mechanical Behavior of Materials ICM 12
, Karlsruhe, Germany (2015)
Diehl, M.; Shanthraj, P.; Roters, F.; Tasan, C. C.; Raabe, D.: A Virtual Laboratory to Derive Mechanical Properties. M2i Conference "High Tech Materials: your world - our business"
, Sint Michielgestel, The Netherlands (2014)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.
In this project, we aim to design novel NiCoCr-based medium entropy alloys (MEAs) and further enhance their mechanical properties by tuning the multiscale heterogeneous composite structures. This is being achieved by alloying of varying elements in the NiCoCr matrix and appropriate thermal-mechanical processing.
“Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…