Int. J. Simul. Multidisci. Des. Optim.
Volume 14, 2023
|Number of page(s)||16|
|Published online||25 October 2023|
Topology optimization methods for additive manufacturing: a review
Laboratory of Advanced Systems Engineering, National School of Applied Sciences (ENSA), Ibn Tofail University Campus, Kenitra 14000, Morocco
2 National Graduate School of Arts and Crafts, Mohamed V University, Rabat, Morocco
3 Chaire Connected Innovation, Computer Sciences and Digital Society Laboratory (LIST3N), Universite de Technologie de Troyes 12 rue Marie Curie, CS 42060 10004 Troyes CEDEX, France
4 LPRSI, EPANT, University Sultan Moulay Slimane Beni-Mellal, Morocco
* e-mail: email@example.com
Accepted: 27 September 2023
Topology optimization is widely recognized for its ability to determine the best distribution of material in a structure to optimize its stiffness. This process often leads to creative configurations that produce complicated geometries challenging to construct using traditional techniques. Additive manufacturing has recently received a lot of interest from academics as well as industry. When compared to traditional methods, additive manufacturing or 3D printing offers considerable benefits (direct manufacture, time savings, fabrication of complex geometries, etc.). Recently, additive manufacturing techniques are increasingly being employed in industry to create complex components that cannot be produced using standard methods. The primary benefit of these techniques is the amount of creative flexibility they give designers. Additive manufacturing technology with higher resolution output capabilities has created a wealth of options for bridging the topology optimization and product application gap. This paper is a preliminary attempt to determine the key aspects of research on the integration of topology optimization and additive manufacturing, to outline topology optimization methods for these aspects with a review of various scientific and industry applications during the last years.
Key words: Topology optimization / additive manufacturing / manufacturing constraints / lattice structures
© I. El Khadiri et al., Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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.