PREDICT - Prediction of Prestress and Failure for Complex Load Cases

PREDICT brings together expertise from Swedish industry, research actors in manufacturing processes, FE modeling and sheet metal forming experts. High prediction accuracy of FE models will reduce the need for iterative compensation processes of mold and tool contact surfaces. This will counteract component errors, the need for further rework and lead to a more efficient introduction of new and lightweight materials. Overall, this will reduce the environmental impact.

Aim of the project

The aim of PREDICT is to achieve increased accuracy in predicting pre-stretching and cracking by developing advanced material models, calibration techniques and efficient finite element simulations, which can enable robust predictions of formability.

Implementation

Specifically, simulation-based prediction of phenomena such as non-linear strain paths, the effect of strain rate, anisotropy and presence of edge cracks will be studied. Damage experiments will be performed and characterization techniques will be developed to generate advanced FE models that can be easily implemented in industrial applications. Furthermore, meta-models, based on the FE models, will be developed and used together with AI to predict formability based on vendor data as well as prevent failures and make process adjustments. This will be an important step in Industry 4.0 for the partners.