Jägle, E. A.: Impact of the process gas atmosphere in Laser Additive Manufacturing – desired and undesired effects. Alloys for Additive Manufacturing Symposium 2018, Sheffield, UK (2018)
Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: Preventing the Coarsening of Al3Sc Precipitates by the Formation of a Zr-rich Shell During Laser Metal Deposition. TMS2018 Annual Meeting & Exhibition, Phoenix, AZ, USA (2018)
Jägle, E. A.: Ex-situ and in-situ heat treatment of alloys during Laser Additive Manufacturing. AWT Kolloquium, Institut für Werkstofftechnik, Bremen, Germany (2017)
Jägle, E. A.: Additive Manufacturing and 3D Printing - What’s beyond the hype? Institute Lecture at Indian Institute of Technology Roorkee, Roorkee, India (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Plenary presentation, Advances in Materials & Processing: Challenges and Opportunities, Indian Institute of Technology Roorkee, Roorkee, India (2017)
Jägle, E. A.: Exploiting the Intrinsic Heat Treatment during Laser Additive Manufacturing to trigger Precipitation Reactions. International Mechanical Engineering Congress & Exposition (IMECE), Tampa, FL, USA (2017)
Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: In-process precipitation strengthening in Al–Sc during Laser Metal Deposition by exploiting the Intrinsic Heat Treatment. Alloys for Additive Manufacturing Symposium, Zürich, Switzerland (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Seminar talk at Culham Center for Fusion Energy, Oxford, Oxford, UK (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Laser-Kolloquium at Fraunhofer Institut für Lasertechnik, Aachen, Aachen, Germany (2017)
Jägle, E. A.: Alloys for Additive Manufacturing, Alloys by Additive Manufacturing. Seminar talk at Institut für Umformtechnik und Leichtbau, TU Dortmund, Dortmund, Germany (2017)
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…
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.