Additive Manufacturing includes different technologies for products manufacturing through the addition of layers of materials (polymer, metals, composites or ceramics) to obtain complex shapes, functional or semi functional prototypes from data models (typically CAD).
The E1 topic looks for CPS/IOT data-driven experiments to explore the design challenges and opportunities of additive manufacturing combined with traditional subtractive technologies, aspects of products customization, rapid manufacturing, design concepts, assembly strategies, combinations of components, cybersecurity etc. Experiments must use the MIDIH reference architectures and reference implementations and the MIDIH Data Infrastructures.
In alignment with AMABLE, the I4MS project which facilitates digital design and solution for secure data chain in additive manufacturing, experiments results will be shared publicly in dissemination events and through the I4MS tools.
Illustration Photo: Additive Manufacturing (CC0 Creative Commons from Pixabay.com)