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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

A concept for AI supported knowledge extraction in design for additive manufacturing

Schmitt, Pascal; Zorn, Stefan; Gericke, Kilian

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Schmitt, Pascal; Zorn, Stefan; Gericke, Kilian
Series:
DESIGN
Institution:
University of Rostock, Germany
Page(s):
2091-2100
DOI number:
10.1017/pds.2026.10567
ISSN:
2732-527X (Online)
Abstract:
This paper presents a concept for an AI-supported DfAM framework aimed at supporting knowledge extraction, focusing on early design phases. The concept is derived from a set of objectives and integrates, in addition to the user, an agile DfAM process model, an AI copilot based on a large language model, and a structured knowledge base. A configured GPT is used as a prototype to demonstrate the feasibility of selected required functions. With regard to a full-scale framework, findings from this prototyping process and remaining open questions are discussed.
Keywords:
design for additive manufacturing, expert systems, artificial intelligence (AI), early design phase
DESIGN2026 - The 19th International Design Conference
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