Failure prediction for complex load cases in sheet metal forming
| Reference number | |
| Coordinator | Blekinge tekniska högskola |
| Funding from Vinnova | SEK 6 498 000 |
| Project duration | November 2020 - January 2024 |
| Status | Completed |
| Venture | FFI - Sustainable Production |
| Call | Sustainable production - FFI - June 2020 |
| End-of-project report | 2020-02986engelska.pdf (pdf, 4424 kB) |
Important results from the project
The purpose of PREDICT is to achieve increased accuracy in failure predictions by developing advanced material models, calibration techniques and effective finite element simulations, which can enable unambiguous and reliable formability predictions. Especially, simulation failure predictions of phenomena such as non-linear strain paths, effect of strain rate, anisotropy and presence of edge cracks were studied. Machine learning based meta-model using FE-simulation data is expected to make process adjustments for failure prevention.
Expected long term effects
PREDICT has generated results and tools that are used to increase reliability of failure prediction in sheet metal forming simulation in finite element models (FE-model). In particular, the work in this project was focused to accurately model the effect of complex load cases like non-linear strain path (NLSP), stretch-bending and in the presence of edge crack in the formability of sheet metals like steel and aluminum alloys. FE-simulation driven AI metamodel was developed to predict formability based on supplier data to make process adjustments for failure prevention.
Approach and implementation
The project has been led by a steering group, and the industry partners were the main drivers of the research direction. Project coordination was done through bi-weekly steering group meetings, monthly general meetings and yearly workshops. Each focus area of the failure simulation improvement study was divided into PhD and master´s thesis projects. Most of the experimental material tests and evaluations were performed at RISE and FE-modeling was led by BTH, Volvo Cars and other industry partners. The novelty of the finding was endured by creating peer-reviewed publications.