Integrated Computational Materials Engineering (ICME) for superalloys 2.0
Reference number | |
Coordinator | SWERIM AB - Swerim AB, Kista |
Funding from Vinnova | SEK 3 000 000 |
Project duration | August 2018 - August 2021 |
Status | Completed |
Venture | The strategic innovation programme for Metallic material |
Call | 2018-00461-en |
Important results from the project
The goal was to connect ICME Integrated Computational Materials Engineering, i.e. material models in different length scales, thermodynamic modelling and superalloys - high temperature alloys with good corrosion and mechanical properties. Technical aspects such as homogenization, coarsening, diffusion in coatings, modelling of properties and precision in thermodynamic databases were investigated. The results show that it is possible to use calculations and ICME with good precision, but that consideration and good knowledge and tools are required.
Expected long term effects
The expected effect of the project was to strengthen the industry´s ability to use computational thermodynamics and ICME divided into a number of technical challenges. This project and ongoing work between industry and local research organisation and overall collaboration have created knowledge for insight into the technical possibilities and new contacts. Results and models are available for all project participants and can be used in discussions with customers as support and will contribute to Sweden being able to maintain and strengthen its position in this area.
Approach and implementation
The project was divided into two phases with seven deliverables where finish Phase 1 was a checkpoint regarding project progress. The work was also carried as part of two PhD theses (LiU), two MSc theses (HV) and a workshop was held with participants from the project parties and invitees. An important aspect was to maintain project unity, with many work packages, and with parties in the same place as well as parties with traditionally close collaborations. Also important were discussions about simulations and experiments, simplifications versus calculation time - feasibility.