Data-based property prediction for single crystal superalloys (T02*)

• Subject Area: Metallurgical, Thermal and Thermomechanical Treatment of Materials
• Term: from 2020 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 190389738

The objective of the project is to develop physical-based creep indicators based on composition, temperature and strain and to define them as parameters of a new property model for superalloys. Physical material parameters and mechanisms, such as gamma / gamma'-volume fractions, solid solution hardening and the kinetics of microstructure evolution, are individually evaluated with regard to their influence on the creep behaviour of the alloys. Methodically, a combination of regression analysis, data mining and machine learning methods is applied.

• DFG Programme: CRC/Transregios (Transfer Project)
• Subproject of: TRR 103: From Atoms to Turbine Blades - A Scientific Approach for Developing the Next Generation of Single Crystal Superalloys
• International Connection: Sweden
• Applicant Institution: Ruhr-Universität Bochum
• Business and Industry: Thermo-Calc Software AB
• Project Heads: Dr. Irina Roslyakova, Ph.D.; Professor Dr. Ingo Steinbach