Kunskapsförmedlingen Md Shafiqul Islam
Project time: 2020 – 2023
Budget: 13 264 800 kr
Failure prediction for complex load cases in sheet metal forming
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. Specially, simulation failure predictions of phenomena such as non-linear strain paths, effect of strain rate, anisotropy and presence of edge cracks will be studied. Failure experiments will be performed, and characterization techniques will be developed to generate advanced FE-models that can easily be integrated to industry practice. Finally, FE-simulation driven metamodels based on AI will be developed to predict formability based on supplier data to make process adjustments for failure prevention. This will be an important step towards Industry 4.0 for the partners.
High prediction accuracy of FE-models will reduce rework loops on the forming surfaces of die and tools. This will prevent component failure, need for additional rework as well as fast-track the introduction of new lightweight materials to minimize environmental impact.
PREDICT gathers key competence from Swedish industry, research actors within manufacturing processes and FE-modelling, and leading experts in sheet metal forming. By co-financing of a new PhD in the formability area, the competence in the stamping industry in Sweden will be strengthened. The planned duration of this project is from 2021-01-01 to 2023-12-31. The total cost is estimated at SEK 13,264,800 of which public funds amount to SEK 6,498,000 (49%). The coordinator of this project is Blekinge Institute of Technology (BTH). Other parties participating in this project are RISE IVF, Volvo Cars, Alfa Laval, Volvo Trucks, SSAB and Scania CV.
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