Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: Precipitation Reaction in a Maraging Steel during Laser Additive Manufacturing triggered by Intrinsic Heat Treatment. Materials Science and Engineering Congress, Darmstadt, Germany (2016)
Jägle, E. A.: Small variations in powder composition lead to strong differences in part properties. Alloys for Additive Manufacturing Workshop 2016, Düsseldorf, Germany (2016)
Jägle, E. A.: Alloys for Laser Additive Manufacturing: general considerations and precipitation reactions. Seminar at Institut für Werkstoff-Forschung, DLR Köln 2016, Köln, Germany (2016)
Jägle, E. A.: Precipitation Reactions in Age-Hardenable Alloys During Laser Additive Manufacturing. Seminar at EMPA (Eidgenössische Materialprüfungs- und Forschungsanstalt), Dübendorf, Switzerland (2016)
Jägle, E. A.: Alloys for and by Laser Additive Manufacturing – the basic research perspective. 2nd European Scientific Steel Panel – Metal Additive Manufacturing, Steel Institute VdEH, Düsseldorf, Germany (2015)
Jägle, E. A.: Maraging steel produced by LAM: Influence of processing on precipitation and austenite reversion. Phase Transformations in Inorganic Materials (PTM), Whistler, BC, Canada (2015)
Jägle, E. A.; Tytko, D.; Choi, P.-P.; Raabe, D.: Deformation-induced intermixing in a model multilayer system. Atom Probe Tomography & Microscopy 2014, Stuttgart, Germany (2014)
Jägle, E. A.: Atom Probe Tomography: Basics, data analysis and application to the analysis of phase transformations. Department of Materials Engineering house seminar, KU Leuven, Leuven, Belgium (2014)
Jägle, E.: Parameter finding for and accuracy of the Maximum Separation algorithm assessed by Atom Probe simulations. 2nd European APT Workshop at ETH Zürich, Zürich, Switzerland (2013)
Jägle, E.: Atom Probe Tomography: Basics, data analysis and application to the analysis of advanced steels. Symposium "Frontiers in Steelmaking and Steel Design", INM, Saarbrücken, Germany (2013)
Jägle, E.: Atom Probe Tomography: Basics, data analysis and application to the analysis of phase transformations. Kolloquium at Max-Planck-Institute for Intelligent Systems, Stuttgart, Germany (2013)
Hariharan, A.; Lu, L.; Risse, J.; Jägle, E. A.; Raabe, D.: Mechanisms Contributing to Solidification Cracking during laser powder bed fusion of Inconel-738LC. Alloys for Additive Manufacturing Symposium 2019 (AAMS2019), Chalmers University of Technology, Gothenburg, Sweden (2019)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Thermo-chemo-mechanical interactions due to thermally activated and/or mechanically induced processes govern the constitutive behaviour of metallic alloys during production and in service. Understanding these mechanisms and their influence on the material behaviour is of very high relevance for designing new alloys and corresponding…
Electron channelling contrast imaging (ECCI) is a powerful technique for observation of extended crystal lattice defects (e.g. dislocations, stacking faults) with almost transmission electron microscopy (TEM) like appearance but on bulk samples in the scanning electron microscope (SEM).
The project aims to study corrosion, a detrimental process with an enormous impact on global economy, by combining denstiy-functional theory calculations with thermodynamic concepts.
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.