Peranio, N.; Schulz, S.; Li, Y. J.; Roters, F.; Raabe, D.; Masimov, M.; Springub, G.: Processing of dual-phase steel for automotive applications: Microstructure and texture evolution during annealing and numerical simulation by cellular automata. Euromat 2009 (European Congress and Exhibition on Advanced Materials and Processes), Glasgow, UK (2009)
Butz, A.; Rist, T.; Springub, B.; Roters, F.; Schulz, S.; Peranio, N.; Lossau, S.: From Cold Rolling to Deep Drawing - Microstructure Based Modeling of a Dual Phase Steel. NUMISHEET 2008, Interlaken, Switzerland (2008)
Springub, G.; Masimov, M.; Peranio, N.; Li, Y. J.; Roters, F.; Raabe, D.: Study of substructure and texture development in dual phase steels due to thermo-mechanical treatment. ITAP3, 3d International Conference on Texture and Anisotropy in Polycrystals, Göttingen, Germany (2009)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
The key to the design and construction of advanced materials with tailored mechanical properties is nano- and micro-scale plasticity. Significant influence also exists in shaping the mechanical behavior of materials on small length scales.
The structure of grain boundaries (GBs) is dependent on the crystallographic structure of the material, orientation of the neighbouring grains, composition of material and temperature. The abovementioned conditions set a specific structure of the GB which dictates several properties of the materials, e.g. mechanical behaviour, diffusion, and…
This project endeavours to offer comprehensive insights into GB phases and their mechanical responses within both pure Ni and Ni-X (X=Cu, Au, Nb) solid solutions. The outcomes of this research will contribute to the development of mechanism-property diagrams, guiding material design and optimization strategies for various applications.
By using the DAMASK simulation package we developed a new approach to predict the evolution of anisotropic yield functions by coupling large scale forming simulations directly with crystal plasticity-spectral based virtual experiments, realizing a multi-scale model for metal forming.