For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

Operational data such as torque, vibration, and temperature are vital for refining machine design and predicting failure modes. Feedback from real-world machines reduces over-engineering, cuts costs, ...

Flexible process control software allows machines from ficonTEC to be more than just the sum of their parts. ficonTEC has always maintained a distinctive modular approach to machine design, with this ...

Pultrusion is one of the technologies used to produce fibre-reinforced plastic composites. This continuous manufacturing method produces fixed cross-sections for both solid and hollow components.

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...