Herrera, C.; Ponge, D.; Raabe, D.: Influence of the initial microstructure on the hot deformation of duplex stainless steel. 6th European Stainless Steel Conference, Helsinki, Finland (2008)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Microstructure and Texture Evolution during Intercritical Annealing with and without Deformation in the Production of Ultrafine Grained Ferrite/Martensite Dual Phase Steels. 15th International Conference on Textures of Materials (ICOTOM15), Carnegie Mellon University Center in Pittsburgh, PA, USA (2008)
Herrera, C.; Ponge, D.; Raabe, D.: Microtexture Characterization of Duplex Stainless Steel after Hot Working. 15th International Conference on the Texture of Materials (ICOTOM 15), Carnegie Mellon University Center in Pittsburgh, PA, USA (2008)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Fabrication of Ultrafine Grained Ferrite/Martensite Dual Phase Steel by Large Strain Warm Deformation and Subsequent Intercritical Annealing. ISUGS 2007 (International Symposium on Ultrafine Grained Steels), Kitakyushu, Japan (2007)
Ponge, D.: The formation of ultrafine grained microstructure in a plain C-Mn steel. International Symposium of Ultrafine Grained Steels ISUGS-2007, Kitakyushu, Japan (2007)
Ponge, D.: Warmumformbarkeit von Stahl. Kontaktstudium Werkstofftechnik Stahl, Teil III, Technologische Eigenschaften, Institut für Umformtechnik und Umformmaschinen (IFUM), Universität Hannover (2006)
Ponge, D.: Modern high strength steels for automotive applications. Robust Processes with Modern Steels, INPRO Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbH, Berlin, Germany (2006)
Romano, P.; Barani, A.; Ponge, D.; Raabe, D.: Design of High-Strength Steels by microalloying and thermomechanical treatment. TMS 2006, San Antonio, TX, USA (2006)
Ponge, D.; Song, R.; Ardehali Barani, A.; Raabe, D.: Thermomechanical Processing Research at the Max Planck Institute for Iron Research. FORTY FIRST SEMIANNUAL TECHNICAL PROGRAM REVIEW, Golden, CO, Colorado School of Mines, Advanced Steel Processing and Products Research Center (2005)
Ponge, D.; Detroy, S.: Quantitative Phase Determination of Bainitic/Martensitic Steels. EUROMAT 2005, European Congress and Exhibition on Advanced Materials and Processes, Czech Technical University in Prague (2005)
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…
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.
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.