| Abstract Scope |
Industrialization of additive manufacturing leads to the generation of a significantly large amount of data, combining materials, process, build and part information. On one hand side, this poses the challenge on collecting, merging and trace the data along its lifecycle. On the other hand, once data is captured properly, it promises to enable sophisticated analysis and smart material and process choices, as the amount of collected data continues to grow in the organization. This presentation aims at describing a materials database system framework to support the additive manufacturing workflow, as well as sharing recent industry best practices. |