Facing edge-cracking in AHSS: towards zero-defect manufacturing through novel material characterisation and data driven analytics for process monitoring

CuttingEdge4.0 RFCS project holistically addressed the edge-cracking problem in AHSS considering fundamental knowledge related to material behaviour, predicting tools and industrial processes and incorporating Industry 4.0 data driven analytics based on Artificial Intelligence (AI) and Machine Learning (ML) expert systems.

The final aim was to transfer to the automotive industry tools and methodologies to predict edge-cracking in the early part design stages, detect edge-cracking defects and assure part quality during forming, boosting the applicability of AHSS-based automotive lightweight parts.

More information at: https://cuttingedge-project.eu 

This project has received funding from the Research Fund for Coal and Steel, a programme managed by the European Commission, supporting research in the coal and steel sectors in Europe under grant agreement No. 847213.