Demonstration of Infrastructure for Digitalization enabling industrialization of Additive Manufacturing DiDAM
| Reference number | |
| Coordinator | Chalmers Tekniska Högskola AB - Industri- och materialvetenskap |
| Funding from Vinnova | SEK 9 223 729 |
| Project duration | February 2020 - September 2023 |
| Status | Completed |
| Venture | The strategic innovation programme for Production2030 |
Important results from the project
The goal of demonstrating ways to ensure traceability and improved product and process quality through digitization methods and tools was expected to lead to -30% fewer errors, -50% need for external quality tests and -15% shorter setup times. Demonstrated between 2 and 26 times reduction in material consumption due to traceability of materials for powder reuse and design optimization. Secure and accessible information sharing with external partners met significantly reduced setup time with external suppliers. Digital analysis methods for fault detection were demonstrated.
Expected long term effects
DIDAM has focused on demonstrating more efficient management of data and information for additive manufacturing in complex value chains to reduce risk and problems in the industrialization of AM and enable the introduction of sustainable products. Resulting development and demonstration efforts have led to knowledge and experiences, documented in a digital modeling guide for AM. Production with AM has started after insights in the project, new methods for managing digital flows have been demonstrated and digital decision support tools have been developed.
Approach and implementation
Three industrial industrial use cases were defined and analyzed from a digitization perspective. Digital software providers and researchers identified potential digital methods and tools. Four demonstration tracks were defined and one capability track, where new methods and tools were demonstrated and evaluated. All partners participated in the demonstration activities where realistic value constellations were created and both physical and digital flows were demonstrated. The experiences were compiled in an Digital Modelling Guide for AM.