Springer, H.; Tasan, C. C.; Raabe, D.: A novel roll-bonding methodology for the cross-scale analysis of phase properties and interactions in multiphase structural materials. International Journal of Materials Research 106 (1), pp. 3 - 14 (2015)
Tasan, C. C.; Hoefnagels, J. P.M.; Diehl, M.; Yan, D.; Roters, F.; Raabe, D.: Strain localization and damage in dual phase steels investigated by coupled in-situ deformation experiments and crystal plasticity simulations. International Journal of Plasticity 63, pp. 198 - 210 (2014)
Wang, M.; Tasan, C. C.; Ponge, D.; Kostka, A.; Raabe, D.: Smaller is less stable: Size effects on twinning vs. transformation of reverted austenite in TRIP-maraging steels. Acta Materialia 79, pp. 268 - 281 (2014)
Yao, M.; Pradeep, K. G.; Tasan, C. C.; Raabe, D.: A novel, single phase, non-equiatomic FeMnNiCoCr high-entropy alloy with exceptional phase stability and tensile ductility. Scripta Materialia 72–73, pp. 5 - 8 (2014)
Tasan, C. C.; Hoefnagels, J. P. M.; Dekkers, E. C. A.; Geers, M. G. D.: Multi-Axial Deformation Setup for Microscopic Testing of Sheet Metal to Fracture. Experimental Mechanics 52 (7), pp. 669 - 678 (2012)
Tasan, C. C.; Hoefnagels, J. P. M.; Geers, M.G. D.: Identification of the continuum damage parameter: An experimental challenge in modeling damage evolution. Acta Materialia 60 (8), pp. 3581 - 3589 (2012)
Tasan, C. C.; Hoefnagels, J. P. M.; Geers, M. G. D.: A micropillar compression methodology for ductile damage quantification. Metallurgical and Materials Transactions A 43 (3), pp. 796 - 801 (2012)
Tasan, C. C.; Hoefnagels, J.P.M.; Geers, M.G.D.: Microstructural Banding Effects Clarified Through Micrographic Digital Image Correlation. Scripta Materialia 62 (11), pp. 835 - 838 (2010)
Tasan, C. C.; Hoefnagels, J.P.M.; Geers, M.G.D.: A brittle-fracture methodology for three-dimensional visualization of ductile deformation micromechanisms. Scripta Materialia 61 (1), pp. 20 - 23 (2009)
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.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.