Sachs, C.: Microstructure and mechanical properties of the exoskeleton of the lobster Homarus americanus as an example of a biological composite material. Dissertation, RWTH Aachen, Aachen, Germany (2008)
Tjahjanto, D.: Micromechanical Modeling and Simulations of Tranformation-Induced Plasticity in Multiphase Carbon Steels. Dissertation, TU Delft, Delft, The Netherlands (2008)
Klüber, C.: Korrelation von mechanischen Eigenschaften und Kristallorientierung auf mikroskopischer und nanoskopischer Ebene. Dissertation, RWTH Aachen, Aachen, Germany (2008)
Bastos da Silva, A. F.: Characterization of the Microstructure, Grain Boundaries and Texture of Nanostructured Electrodeposited CoNi by use of EBSD. Dissertation, RWTH Aachen, Aachen, Germany (2007)
Goerdeler, M.: Application of a dislocation density based flow stress model in the integrative through-process modeling of Aluminium production. Dissertation, RWTH Aachen, Aachen, Germany (2007)
Wolff, C.: Der tribologisch asymmetrische Flachstauchversuch - Eine neue Methode zur Analyse von Reibungsvorgängen bei Umformprozessen. Dissertation, RWTH Aachen, Aachen, Germany (2001)
Kaushal, C.: Untersuchung der Abhängigkeit des Ölaustrags von der Oberflächenfeinstruktur beim Auswalzen gedoppelter Aluminiumfolien. Diploma, HS Niederrhein, Krefeld, Germany (2003)
Tranchant, J.: Deformation of Semi-Brittle Intermetallic Material under Superimposed Hydrostatic Pressure. Diploma, Ecole Centrale de Nantes, Nantes, France (2002)
Paiva do Nascimento, A. W.: An optimized method to determine initial parameters of advanced yield surfaces for sheet metal form-ing applications. Master, Ruhr-Universität Bochum (2021)
Kusampudi, N.: Using Machine Learning and Data-driven Approaches to Predict Damage Initiation in Dual-Phase Steels. Master, Ruhr-Universität Bochum (2020)
Soundararajan, C. K.: Recrystallization behavior and mechanical properties of interstitially alloyed CoCrFeMnNi equiatomic high entropy alloy. Master, RWTH Aachen University (2020)
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 field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.
In this project, links are being established between local chemical variation and the mechanical response of laser-processed metallic alloys and advanced materials.
At finite temperatures lattice vibrations and magnetic fluctuations are coexisting. To study potential coupling effects, a method is required, which considers both, the spin and the lattice degrees of freedom, simultaneously. We develop and implement such a method by combining atomistic spin dynamics with ab initio molecular dynamics.