Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84149
Title: A strategy to locally optimize the material composition of AM construction elements
Authors: Craveiro, F.
Ba'rtolo, H.
Duarte, J. P.
Ba'rtolo, P. J.
Issue Date: 2016
Source: Craveiro, F., Ba'rtolo, H., Duarte, J. P., & Ba'rtolo, P. J. (2016). A strategy to locally optimize the material composition of AM construction elements . Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016), 188-193.
Abstract: New technologies and rising customer expectations are motivating key improvements in the construction sector towards more integrated and organic systems using novel computational fabrication processes. Natural systems are dependent upon stress or strain requirements where the material properties are optimally distributed. Using heterogeneous composite materials with a variable material distribution for distinct functional requirements, similar to natural structures, will enable to model, simulate and fabricate construction elements with specific loading conditions. This work has developed a strategy to optimize material composition, through an algorithm editor combined with a FEM software. The code was created to locally adjust a multi-material ratio according to the Von Mises stress map, simulating nature’s structural behavior, to produce functional graded construction elements. A concept wall prototype was tested as a case study, to explore the variation of material porosity. Further developments will enable to directly control the additive manufacturing equipment.
URI: https://hdl.handle.net/10356/84149
http://hdl.handle.net/10220/41638
Rights: © 2016 by Pro-AM 2016 Organizers. Published by Research Publishing, Singapore
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:Pro-AM Conference Papers

Files in This Item:
File Description SizeFormat 
A strategy to locally optimize the material composition of AM construction elements.pdf246.16 kBAdobe PDFThumbnail
View/Open

Page view(s)

402
checked on Oct 25, 2020

Download(s)

182
checked on Oct 25, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.