CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
id caadria2018_270
authors Houda, Maryam and Reinhardt, Dagmar
year 2018
title Structural Optimisation for 3D Printing Bespoke Geometries
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 235-244
summary Current advances in 3D printing technology enable novel design explorations with the potential to inform printing deposition through generative scripting and structural performance analysis. This paper presents ongoing research that involves three scales of operation; a global geometry for multi-skin cellular mesh densities; localised skin-porosity detailing, and material structural optimisation. Centering on a chair as a test case scenario, the research explores the affordances of a serialised, multi-material 3D printing process in the context of digital instruction, customisation, and material efficiency. The paper discusses two case studies with consecutive optimisation, and outlines the benefits and limitations of 3D printing for structural optimisation and multi-material grading in the additive process.
keywords 3D Printing; Bespoke Complexity; Digital Instruction; Mass Customisation; Multi-Material Grading; Robotic Deposition; Structural Optimisation
series CAADRIA
full text file.pdf (10,731,818 bytes)
references Content-type: text/plain
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last changed 2018/05/17 07:07