A Framework to Collect and Reuse Engineering Knowledge in the Context of Design for Additive Manufacturing

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Giovanni Formentini (1), Claudio Favi (1), Marco Mandolini (2), Michele Germani (2)
Series: DESIGN
Institution: 1: University of Parma, Italy; 2: Universit
Section: Design for Additive Manufacturing
Page(s): 1371-1380
DOI number: https://doi.org/10.1017/pds.2022.139
ISSN: 2732-527X (Online)


Design for AM (DfAM) requires the definition of Design Actions (DAs) to optimize AM manufacturing processes. However, AM understanding is still very blurred. Often designers are challenged by selecting the right design parameters. A method to list and collect DfAM DAs is currently missing. The paper aims at providing a framework to collect DfAM DAs according to a developed ontology to create databases (DBs). DBs were tested with two real case studies and geometric features to improve identified. Future developments aim at widening the database to provide all-around support for AM processes.

Keywords: design for additive manufacturing (DfAM), ontology, knowledge-based engineering (KBE), computer-aided design (CAD)

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