The CuttingEdge 4.0 project members celebrated the final consortium meeting on the 31st of November, 2022. The meeting was celebrated physically at PWO Czech Republic at Valašské Meziříčí.
During the final meeting, a general overview of the project was provided by the coordinator. The partners presented the main results obtained throughout the project and the main conclusions obtained din each WP were discussed. Preparation of the final project report and further actions of the CuttingEdge 4.0 outcome were also discussed.
As a part of the results dissemination plan of the project, a final Workshop was organized on the 1st of December, 2022. The aim of the workshop was to show some of the main results of CuttingEdge 4.0 project and the new experimental and modelling approaches developed to predict and avoid edge-cracking in the automotive industry.
During the event, some of the most important results of the project were shown. The event was moderated by Dr. Begoña Casas, project coordinator, who provided an initial introduction to the Workshop and a general overview of the project.
The next presentation was in charge of Dr. Johannes Rehrl from voestalpine. During his presentation, Dr. Rehrl gave a general introduction to 3rd Gen AHSS, including metallurgy and material processing, and described the different steel grades investigated in the project. The next presentation was carried out by Christian Walch, Head of Application Technologies from Voestalpine, and Matteo Ferrea from Researcher, Stellantis, who talked about the lab tests methodologies to evaluate edge-cracking. The following presentation, presented by David Frómeta, Head of the mechanical behaviour research line at Eurecat, was focused on the importance of measuring fracture toughness in AHSS, explained the essential work of fracture (EWF) methodology and presented the ToughSteel project. Olle Sandin, PhD Student at Luleå University of Technology presented the work done on digital twins for quality predictions of real industrial cutting processes. With this presentation, the first part of the workshop ended.
After a short break, the second session started with a presentation of Martin Sláma, Project manager, Lead Engineer from PWO Czech Republic,and Martin Heuse, Simulation Team Leader at Faurecia regarding the acquisition and set up of equipment for the monitoring of the tooling and press for industrial field tests and the collection of process data for the development of the CuttingEdge4.0’s Predictive Edge Quality System. The event continued with a presentation of Machine Learning techniques for Edge Crack identification by Jose Gonzalez, Researcher at the Applied Artificial Intelligence Unit at Eurecat and finalised with Eisso Atzema, Principal Scientist at Tata Steel providing recommendations for the processing of cold and hot rolled AHSS.
The final workshop was attended by over 70 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.
