Testing three techniques to elicit additive manufacturing knowledge

Abstract

Additive manufacturing (AM) has enabled the building of parts with new shapes and geometrical features. As this technology modifies the practices, new knowledge is required for designing and manufacturing properly. To help experts create and share this knowledge through formalization, our paper focusses on testing three knowledge elicitation techniques. After defining knowledge concepts we present the State of Art in knowledge elicitation and a methodology. A case study about support creation for AM points out: the assets and limits of the techniques; the different types of knowledge elements per technique; some contradictions between experts. We finally propose collective tools for a better elicitation and formalization of AM knowledge.