PPS08 – Tools for Digital Transformation in Additive Manufacturing

The main outcomes of PPS 8 will encompass a range of digital transformation tools—including software solutions and advanced automation systems—designed to create synergy across the various WPs of the INOV.AM Agenda. These tools aim to drive the development of knowledge, products, processes, and services in Additive Manufacturing (AM). While WP22 is a primary contributor to this PPS, outputs will also be derived from WPs 9, 10, 11, 12, 14, 15, 17, and 22, resulting in at least 13 digital transformation tools:

• WP9: Robotic control software for precise automation in robotic AM applications.
• WP10: Process automation software facilitating integration between deposition, ovens, and metrology.
• WP11: Automation between process and oven, including crucible manipulation and sand vacuuming for enhanced workflow efficiency.
• WP12: Cartesian control software for managing machining and deposition processes, supporting large-scale manufacturing.
• WP14: Generic printer control software, adaptable across different AM printers for streamlined operations.
• WP15: Generic control software tailored for digitization systems, enhancing data integration and process management.
• WP17: Communication software providing equipment gateways for improved interoperability between machines.
• WP22: Data processing software that includes slicing and control functionalities for comprehensive data management.
• WP22: Augmented reality software to support process training and support, enabling immersive learning and operational efficiency.
• WP22: Cybersecurity solutions to protect digital assets and data integrity across AM workflows.
• WP22: Digital markets including e-commerce tools and application testing, expanding access to AM products and services.
• WP22: Application/web platform for knowledge valorization (Scientific Shares), promoting knowledge exchange and commercialization of AM research.
• WP22: Gateways and communication protocols to ensure seamless data exchange across different AM systems and platforms.