Int. J. Simul. Multisci. Des. Optim.
Volume 6, 2015
|Number of page(s)||13|
|Published online||26 January 2016|
Challenges of additive manufacturing technologies from an optimisation perspective
INRA, UR1268 Biopolymères Interactions Assemblages, 44300
2 Laboratory of Engineering Simulation & Aerospace Computing-ESAC, Northwestern Polytechnical University, 710072 Xian, Shaanxi, P.R. China
3 LUNAM University of Nantes Angers Le Mans, CNRS, GEPEA, UMR 6144, IUT de Nantes, 2 avenue du Professeur Jean Rouxel, 44475 Carquefou Cedex, France
4 Department of Polymers and Composites Technology & Mechanical Engineering, Mines Douai, 941 rue Charles Bourseul, CS 10838, 59508 Douai, France
* e-mail: email@example.com
Accepted: 31 December 2015
Three-dimensional printing offers varied possibilities of design that can be bridged to optimisation tools. In this review paper, a critical opinion on optimal design is delivered to show limits, benefits and ways of improvement in additive manufacturing. This review emphasises on design constrains related to additive manufacturing and differences that may appear between virtual and real design. These differences are explored based on 3D imaging techniques that are intended to show defect related processing. Guidelines of safe use of the term “optimal design” are derived based on 3D structural information.
Key words: Additive Manufacturing / Topological optimisation / Process-induced defects / X-ray micro-tomography
© S. Guessasma et al., Published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.