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A knowledge-driven, integrated design support tool for additive manufacturing

Published online by Cambridge University Press:  16 May 2024

Claudius Ellsel  and
Rainer Stark
Claudius Ellsel*
Affiliation:
Technische Universität Berlin, Germany
Rainer Stark
Affiliation:
Technische Universität Berlin, Germany
*
ellsel@tu-berlin.de

Abstract

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Increasing adoption of additive manufacturing (AM) makes software support for design for additive manufacturing (DfAM) more relevant. This paper presents a novel, knowledge-driven design support tool for AM that leverages a central knowledge base to provide extensible and powerful DfAM support early in the development process. The approach was implemented using Python for the knowledge base and as a plugin for Siemens NX. It offers automated design checks, optimizations, and further information through an integrated Wiki. Evaluation confirms the feasibility and benefits of the approach.

Keywords

additive manufacturingdesign for additive manufacturing (DfAM)knowledge-based engineering (KBE)design support systemcomputer-aided design (CAD)

Information

Type
Design for Additive Manufacturing
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1747 - 1756
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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