Cantergiani, E.; Riedel, M.; Karhausen, K. F.; Roters, F.; Quadfasel, A.; Falkinger, G.; Engler, O.; Rabindran, R.: Simulations of Texture Evolution in the Near-Surface Region During Aluminum Rolling. Metallurgical and Materials Transactions A 55 (9.0), pp. 3327 - 3350 (2024)
Cantergiani, E.; Weißensteiner, I.; Grasserbauer, J.; Falkinger, G.; Pogatscher, S.; Roters, F.: Influence of Hot Band Annealing on Cold-Rolled Microstructure and Recrystallization in AA 6016. Metallurgical and Materials Transactions A 54, pp. 75 - 96 (2023)
Cantergiani, E.; Falkinger, G.; Roters, F.: Crystal plasticity simulations of Cube in-grain fragmentation in aluminium: Influence of crystal neighbor orientation. International Journal of Solids and Structures 252, 111801 (2022)
Shah, V.; Sedighiani, K.; Van Dokkum, J. S.; Bos, C.; Roters, F.; Diehl, M.: Coupling crystal plasticity and cellular automaton models to study meta- dynamic recrystallization during hot rolling at high strain rates. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 849, 143471 (2022)
Cantergiani, E.; Falkinger, G.; Mitsche, S.; Theissing, M.; Klitschke, S.; Roters, F.: Influence of Strain Rate Sensitivity on Cube Texture Evolution in Aluminium Alloys. Metallurgical and Materials Transactions A 53, pp. 2832 - 2860 (2022)
Fujita, N.; Yasuda, K.; Ishikawa, N.; Diehl, M.; Roters, F.; Raabe, D.: Characterizing Localized Microstructural Deformation of Multiphase Steel by Crystal Plasticity Simulation with Multi-Constitutive Law. Journal of the Japan Society for Technology of Plasticity 63 (732), pp. 1 - 8 (2022)
Sedighiani, K.; Diehl, M.; Traka, K.; Roters, F.; Sietsma, J.; Raabe, D.: An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress-strain curves. International Journal of Plasticity 134, 102779 (2020)
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