Project Details
Projekt
Digital methods for data-driven inverse materials design by optimizing composition-process-structure-property relationships for aluminum alloys based on semantic data management technologies, physic-based modelling, and correlative microscopy
Subject Area
Mechanical Properties of Metallic Materials and their Microstructural Origins
Mechanics
Thermodynamics and Kinetics as well as Properties of Phases and Microstructure of Materials
Mechanics
Thermodynamics and Kinetics as well as Properties of Phases and Microstructure of Materials
Term
since 2025
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 562156587
The proposed research project focuses on enhancing sustainability in aluminum alloy production through digital methods for optimizing composition-process-structure-property (CPSP) relationships. The secondary raw material route for aluminum alloys is particularly important for both industry and society to pave the way for a green future. Despite advances in separation technologies, reproducing exact alloy mixtures and avoiding impurities in the material cycle remains a challenge. This necessitates the design of impurity-resistant alloys suited to current material flows, along with tailored lean alloys for long-term sustainability. To address this challenge, CPSP relationships must be modeled using data from multiscale characterization techniques, employing physics-based approaches to represent thermo-chemo-mechanical coupling phenomena, followed by optimization using machine learning for materials design. The integration of advanced correlative microscopy techniques, such as atom probe tomography supports the modelling tasks by providing data and enhance the understanding of the CPSP relationships. Correlative microscopy with aluminum alloys, becomes possible with new cryo-FIB (focused ion beam) approaches, allowing for a deeper understanding of CPSP relationships in aluminum alloys.
DFG Programme
Priority Programmes
Subproject of
SPP 2489:
DaMic - Data-driven alloy and microstructure design of sustainable structural metals
International Connection
USA
Cooperation Partners
Professor Surya R. Kalidindi, Ph.D.; Professor Dr. Ji-Cheng Zhao
