Barani, A.; Li, F.; Romano, P.; Ponge, D.; Raabe, D.: Design of high-strength steels by microalloying and thermomechanical treatment. Special Issue Materials Science and Engineering A 463, pp. 138 - 146 (2007)
Dorner, D.; Zaefferer, S.; Raabe, D.: Retention of the Goss orientation between microbands during cold rolling of an Fe3%Si single crystal. Acta Materialia 55, pp. 2519 - 2530 (2007)
Han, C. S.; Ma, A.; Roters, F.; Raabe, D.: A Finite Element approach with patch projection for strain gradient plasticity formulations. International Journal of Plasticity 23, pp. 690 - 710 (2007)
Kobayashi, S.; Zaefferer, S.; Raabe, D.: Relative Importance of Nucleation vs. Growth for Recrystallisation in Particle-containing Fe3Al Alloys. Materials Science Forum 550, not specified, pp. 345 - 350 (2007)
Ma, A.; Roters, F.; Raabe, D.: A dislocation density based constitutive law for BCC materials in crystal plasticity FEM. Computational Materials Science 39, pp. 91 - 95 (2007)
Raabe, D.: A texture-component Avrami model for predicting recrystallization textures, kinetics and grain size. Modelling and Simulation in Materials Science and Engineering 15, pp. 39 - 63 (2007)
Raabe, D.: Recrystallization Models for the Prediction of Crystallographic Textures with Respect to Process Simulation. The Journal of Strain Analysis for Engineering Design 42 (4), pp. 253 - 268 (2007)
Raabe, D.; Al-Sawalmih, A.; Yi, S. B.; Fabritius, H.: Preferred crystallographic texture of α-chitin as a microscopic and macroscopic design principle of the exoskeleton of the lobster Homarus americanus. Acta Biomaterialia 3, pp. 882 - 895 (2007)
Sandim, H. R. Z.; Bernardi, H. H.; Verlinden, B.; Raabe, D.: Equal channel angular extrusion of niobium single crystals. Materials Science and Engineering: A 467, pp. 44 - 52 (2007)
Takahashi, T.; Ponge, D.; Raabe, D.: Investigation of orientation gradients in pearlite in hypoeutectoid steel by use of orientation imaging microscopy. Steel Research International 78 (1), pp. 38 - 44 (2007)
Tikhovskiy, I.; Raabe, D.; Roters, F.: Simulation of earing during deep drawing of an Al-3%Mg alloy (AA 5754) using a texture component crystal plasticity FEM. Journal of Materials Processing Technology 183, pp. 169 - 175 (2007)
Winning, M.; Raabe, D.; Brahme, A.: A texture component model for predicting recrystallization textures. Materials Science Forum 558 / 559, pp. 1035 - 1042 (2007)
Zambaldi, C.; Roters, F.; Raabe, D.; Glatzel, U.: Modeling and experiments on the indentation deformation and recrystallization of a single‑crystal nickel-base superalloy. Materials Science and Engineering A 454–455, pp. 433 - 440 (2007)
Liu, W. C.; Li, Z.; Man, C.-S.; Raabe, D.; Morris, J. G.: Effect of precipitation on rolling texture evolution in continuous cast AA 3105 aluminum alloy. Materials Science and Engineering: A 434 (1-2), pp. 105 - 113 (2006)
Han, C. S.; Roters, F.; Raabe, D.: On strain gradients and size-dependent hardening descriptions in crystal plasticity frameworks. Metals and Materials International 12, 5, pp. 407 - 411 (2006)
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
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…
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.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
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.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…