Author:
Formentini G.,Favi C.,Mandolini M.,Germani M.
Abstract
AbstractDesign 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.
Publisher
Cambridge University Press (CUP)
Reference22 articles.
1. Eddy, D. , Krishnamurty, S. , Grosse, I. , Perham, M. , Wileden, J. , & Ameri, F. (2015). Knowledge management with an intelligent tool for additive manufacturing. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 57045, p. V01AT02A023). American Society of Mechanical Engineers.
2. Favi, C. , Mandolini, M. , Campi, F. , Cicconi, P. , & Germani, M. (2021) Design for additive manufacturing: a framework to collect and reuse engineering knowledge towards a CAD-based tool. In Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition IMECE2021.
3. A knowledge-based method for innovative design for additive manufacturing supported by modular ontologies;Hagedorn;Journal of Computing and Information Science in Engineering,2018
4. Ontology-based knowledge representation for additive manufacturing;Sanfilippo;Computers in Industry,2019
5. Gillespie, L. K. (2017). Design for Advanced Manufacturing: Technologies and Processes. McGraw-Hill Education.
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