The CuttingEdge 4.0 project has developed new experimental and modelling approaches to predict and avoid edge-cracking in the automotive industry. In this workshop, we will present how the CuttingEdge 4.0 project has holistically addressed the edge-cracking problem in different AHSS grades by developing predicting tools, investigating the material response to cutting and forming and by incorporating Industry 4.0 data-driven analytics based on Artificial Intelligence and Machine Learning.
The event is targeted to professionals in the automotive industry and researchers willing to know more about novel tools and methodologies to predict edge-cracking in the early part design stages and assure part quality during forming.