AISAM - AI Supported Adaptive Manufacturing

AISAM (AI Supported Adaptive Manufacturing) is a research project on smart AI solutions for the aerospace and energy sectors. The project will make it easier to automate steps that are currently difficult to digitize - for example, in the manufacture of unique or complex components in small series - and develop so-called adaptive manufacturing.

The background is that AI has great potential in industry, but is currently often used in isolated parts of production. There are few examples of broad, systematic use where lessons learned are shared. AISAM aims to change this by developing methods, tools, and workflows in which AI supports both technology and people in their daily work. Project activities are being carried out within the test anddemoenvironment atthe Production Technology Centerin Trollhättan—including, among other things, AM (Additive Manufacturing) based on metal components from GKN and Siemens Energy. A demonstration at SAAB in Linköping will include AR (Augmented Reality) in collaboration with Combitech and other partners.

Examples of what the project will develop:

• Repairing worn or faulty parts using AI, adaptive manufacturing and other smart solutions.
• Quality control decision support, where AI analyzes data from multiple measurement and inspection systems.
• Flexible process planning that adapts to each individual component - important for repairs, low-volume production or custom manufacturing.

The project is based on real industrial needs and is run in collaboration between companies and researchers. By linking AI, digitalization and human-centered work, AISAM wants to contribute to a more competitive and sustainable industry.

Positive effects of developing methods for adaptive manufacturing:

• Improved working environment and reduced recruitment needs
• Shorter lead times, with results in minutes/hours instead of days/weeks
• Increased productivity, volume per unit time increases radically
• Improved material recovery - instead of today's very blunt remanufacturing recipes, we can instead achieve specific, tailor-made recipes, which both increase the volume of materials recycled and optimize individual repairs.