From concept to after-sales, via design, engineering, process and production, Digital Twins are able to validate a product/process in the digital space, with significant reductions in cost, time and increased quality. Even in the field of cold forging (Fine Blanking- FB), where centesimal geometric tolerances are typically required, the Digital Twin Hybrid can guarantee production and quality advantages quantifiable in a 25% reduction of scrap and 35% reduction of rework of the moulded product. With the availability of an I4.0 production environment, with a structured MES connected in the cloud to the plant ERP, it appears promising to evaluate the use of advanced tools for automated process correlation analysis and its possible reconfiguration, based on innovative hybrid digital twin techniques.
The DIGIBRAKE project therefore aims to increase the competitiveness of the automotive component manufacturing sector by improving and innovating the cold pressing production process, acting specifically on the sheet metal straightening process at the press inlet, through the application and specialisation to the case in point of advanced Automated Process Correlation Analysis, Machine Learning and Physical Process Simulation tools.
