Roters, F.; Diehl, M.; Shanthraj, P.; Eisenlohr, P.; Raabe, D.: A spectral method solution to crystal elasto-viscoplasticity at finite strains. "Textures, Microstructures and Plastic Anisotropy, a Tribute to Paul Van Houtte", KU Leuven, Belgium (2013)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Discrete dislocation dynamics modeling of loading orientation effect on the low stress creep of single crystal Ni base superalloys. Intermetallics 2013, Bad Staffelstein, Germany (2013)
Schemmann, L.; Zaefferer, S.; Raabe, D.: Influence of the inheritance of chemical elements on the transformation behaviour during intercritical annealing of DP steel strips. Euromat 2013, Sevilla, Spain (2013)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
In this project, we aim to realize an optimal balance among the strength, ductility and soft magnetic properties in soft-magnetic high-entropy alloys. To this end, we introduce a high-volume fraction of coherent and ordered nanoprecipitates into the high-entropy alloy matrix. The good combination of strength and ductility derives from massive solid…
Hydrogen embrittlement (HE) of steel is a great challenge in engineering applications. However, the HE mechanisms are not fully understood. Conventional studies of HE are mostly based on post mortem observations of the microstructure evolution and those results can be misleading due to intermediate H diffusion. Therefore, experiments with a…
This project aims to investigate the influence of grain boundaries on mechanical behavior at ultra-high strain rates and low temperatures. For this micropillar compressions on copper bi-crystals containing different grain boundaries will be performed.
The objective of the project is to investigate grain boundary precipitation in comparison to bulk precipitation in a model Al-Zn-Mg-Cu alloy during aging.
This project aims to develop a testing methodology for the nano-scale samples inside an SEM using a high-speed nanomechanical low-load sensor (nano-Newton load resolution) and high-speed dark-field differential phase contrast imaging-based scanning transmission electron microscopy (STEM) sensor.