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)
Jägle, E. A.: Metallische Werkstoffe in der Additiven Fertigung. Workshop "Steels for Additive Manufacturing", Stahlinstitut,VDEh, Düsseldorf, Düsseldorf, Germany (2017)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…