Enhanced Software Control for Rapid Optimised World class metal additive manufacturing (ESCROW)
| Reference number | |
| Coordinator | SIMTEC Soft Sweden AB |
| Funding from Vinnova | SEK 1 342 200 |
| Project duration | October 2024 - April 2026 |
| Status | Ongoing |
| Venture | SME flights |
| Call | Strengthened Swedish aeronautical research and innovation in small and medium-sized enterprises (SMEs) |
Important results from the project
The project achieved its main objectives by integrating Optical Tomography (OT), CFD simulation, and AI-based defect detection for the L-PBF process. A functional platform for real-time monitoring, predictive analysis, and data fusion was demonstrated. The results contribute to improved process understanding, more stable manufacturing, and future possibilities for closed-loop and adaptive control in metal additive manufacturing.
Expected long term effects
The project is expected to improve robustness, quality, and resource efficiency in metal additive manufacturing. The combination of CFD simulation, AI, and real-time data enables future digital twins, enhanced quality control, and reduced material waste. The results also strengthen Swedish competence and competitiveness in advanced and intelligent manufacturing.
Approach and implementation
The project was carried out in close collaboration between Chalmers, Interspectral, and Simtec. Activities included experimental testing, CFD simulation, AI model development, and integration of process data from EOS M290. The project largely followed the planned schedule and concluded with a joint workshop demonstrating the workflow in practice. Collaboration between the partners worked very well.