DREAM: a design assistant for assessing additive manufacturability Online publication date: Tue, 22-Nov-2022
by Romain Pinquié; Oscar Fossey; Frédéric Segonds
International Journal of Product Lifecycle Management (IJPLM), Vol. 14, No. 4, 2022
Abstract: This paper presents a computational design assistant that supports novice designers willing to evaluate the additive manufacturability of their ideas. The design rules extractor for additive manufacturability (DREAM) uses natural language processing techniques to analyse a textual description contained in an ideation card so as to recommend applicable design rules. The design rules for additive manufacturing are structured in an ontology, and the selection of applicable ones depends on their semantic proximity to sentences of the idea card. The empirical evaluation of DREAM led to the identification of six applicable design rules among which two were false positives, which are due to short sentences containing non-discriminant terms. Future works will concentrate on the evaluation with a larger industrial dataset for continuous improvement. Finally, we will analyse the sketches in the idea card and suggest design improvements based on the opportunities offered by additive manufacturing.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Product Lifecycle Management (IJPLM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook