From elicitation to structuring of additive manufacturing knowledge
Year: 2017
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Grandvallet, Christelle; Pourroy, Franck; Prudhomme, Guy; Vignat, Frédéric
Series: ICED
Institution: Université Grenoble Alpes, France
Section: Design Information and Knowledge
Page(s): 141-150
ISBN: 978-1-904670-94-0
ISSN: 2220-4342
Abstract
Manufacturing, whether subtractive and additive, requires complex operations and process rules are not so easy to structure or define. Although efficient CAD/CAM software have been developed to support the design and manufacturing tasks, knowledge management systems are still fighting to formalize those manufacturing practices, and the way they impact the design of parts and systems. This paper deals with Additive Manufacturing (AM) knowledge which is still in construction in industries. It aims at proposing approach and method for AM knowledge structuration. A case study about the influence of supports onto the quality of EBM (Electron Beam Melting) metallic parts enables us to confirm the benefits of a collective elicitation. Two elements contribute to its success: the use of an influence matrix and an argumentative situation between experts. Furthermore, four categories of AM knowledge are identified (definitions, examples, influences, and rules broken down in Action Rules and State Rules). They proved to be useful for identifying and structuring AM knowledge in our case study.
Keywords: Additive Manufacturing, Knowledge management, Case study, Design for Additive Manufacturing (DfAM)