Jägle, E. A.: Metallische Werkstoffe in der Additiven Fertigung. Workshop "Steels for Additive Manufacturing", Stahlinstitut,VDEh, Düsseldorf, Düsseldorf, Germany (2017)
Jägle, E. A.: Phase transformation phenomena in additively produced alloys. Seminar Materials Science and Technology, Ruhr-Universität Bochum, Bochum, Germany (2017)
Jägle, E. A.: Phase transformation phenomena in additively produced alloys. Werkstoffkolloquium 2016, Deutsches Zentrum für Luft- und Raumfahrt Köln, Köln, Germany (2016)
Jägle, E. A.: Phase transformations in alloys produced by Laser Additive Manufacturing. Spezialseminar Fakultät für Werkstoffwissenschaft und Werkstofftechnologie, TU Bergakademie Freiberg, Freiberg, Germany (2016)
Jägle, E. A.: Solidification cracking during Selective Laser Melting of Inconel 738LC: origins and remedy. Multiscale Materials Modelling conference, Dijon, France (2016)
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)
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
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…