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)
Dorner, D.; Zaefferer, S.; Lahn, L.; Raabe, D.: Overview of Microstructure and Microtexture Development in Grain-oriented Silicon Steel. Journal of Magnetism and Magnetic Materials 304 (2), pp. 183 - 186 (2006)
Li, F.; Ardehali Barani, A.; Ponge, D.; Raabe, D.: Austenite Grain Coarsening Behavior in a Medium Carbon Si–Cr spring steel with and without Vanadium. Steel Research International 77 (8), pp. 590 - 594 (2006)
Raabe, D.; Jia, J.: Evolution of crystallinity and of crystallographic orientation in isotactic polypropylene during rolling and heat treatment. European Polymer Journal 42 (8), pp. 1755 - 1766 (2006)
Sachs, C.; Fabritius, H.; Raabe, D.: Hardness and elastic properties of dehydrated cuticle from the lobster Homarus americanus obtained by nanoindentation. Journal of Material Research 21 (8), pp. 1987 - 1995 (2006)
Nikolov, S.; Lebensohn, R. A.; Raabe, D.: Self-consistent modeling of large plastic deformation, texture and morphology evolution in semi-crystalline polymers. Journal of the Mechanics and Physics of Solids 54 (7), pp. 1350 - 1375 (2006)
Ardehali Barani, A.; Ponge, D.; Raabe, D.: Refinement of grain boundary carbides in a Si–Cr spring steel by thermomechanical treatment. Materials Science and Engineering: A 426 (1-2), pp. 194 - 201 (2006)
Godara, A.; Raabe, D.; Van Puyvelde, P.; Moldenaers, P.: Influence of flow on the global crystallization kinetics of iso-tactic polypropylene. Polymer Testing 25 (4), pp. 460 - 469 (2006)
Ma, A.; Roters, F.; Raabe, D.: On the consideration of interactions between dislocations and grain boundaries in crystal plasticity finite element modeling – Theory, experiments, and simulations. Acta Materialia 54 (8), pp. 2181 - 2194 (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
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.
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.
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…
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.