EUREKA SMART SIMS

Purpose and goal:

Fatigue life is an essential property for many metal products, determining their safety and life cycle. During welding or Additive Manufacturing, AM, the solidification of the melt pool determines essential aspects of the fatigue life, particularly by the surface topology. The goal is a longer life cycle for steel products at fatigue load, by intelligent sensors and machines, for welding and additive manufacturing.

Expected results and effects:

A concept for an adaptable commercial manufacturing system will result, integrating sensors and artificial intelligence for welding and additive manufacturing, using electric arcs or laser beams. The applicability will be demonstrated for product parts like beams and links with high fatigue load requirements.

Approach and implementation:

The project aims at the development of a smart manufacturing system based on Machine Learning, and with combined optical sensors and model-based algorithms, that enables to identify and optimize critical complex aspects during manufacturing. A generalizing approach shall enable to adapt the method for the different applications of welding and AM, demonstrated for product components that experience fatigue loads, as in cranes, constructions and vehicles.