FLT2 - AutoUniManu

Laser-based manufacturing processes offer great potential but, in practice, require complex and costly development for each application, along with significant expertise. They are sensitive to variations in part or semi-finished product properties and are difficult to adapt to new products. A commonly low level of digitalization hampers automated adjustments and process optimization. Many systems are designed for specific products and are hardly reusable. This limits flexibility, increases production costs, and weakens international competitiveness compared to sites with more networked, adaptable manufacturing systems.

Aim

The aim of the AutoUniManu project is to fundamentally change industrial production Machines should be able to learn independently, make decisions and control production processes themselves - without constant human guidance This is made possible by the use of laser technology, intelligent sensors and artificial intelligence This will enable products to be manufactured flexibly and quickly in small quantities in future - as and when required This will not only make production more efficient and cost-effective, but also more adaptable to new materials, requirements and market changes In the long term, this will help to keep Baden-Württemberg a future-proof and competitive production location.

Approach

• Step-by-step development of autonomous manufacturing processes
• Laser technologies and flexible machine architectures
• Sensor technology and AI-supported process monitoring
• Combination of physical models with machine learning
• Digital twins for process planning and optimization
• Model-Based Software Engineering for system integration

Benefit

The solution enables flexible, efficient and autonomous production that adapts itself to new requirements. Users benefit from lower costs, shorter response times and higher product quality - even for small quantities. This makes them less dependent on a shortage of skilled workers and secures their long-term competitiveness.