Cargando…

Optimal and continuous multilattice embedding

Because of increased geometric freedom at a widening range of length scales and access to a growing material space, additive manufacturing has spurred renewed interest in topology optimization of parts with spatially varying material properties and structural hierarchy. Simultaneously, a surge of mi...

Descripción completa

Detalles Bibliográficos
Autores principales: Sanders, E. D., Pereira, A., Paulino, G. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046378/
https://www.ncbi.nlm.nih.gov/pubmed/33853782
http://dx.doi.org/10.1126/sciadv.abf4838
_version_ 1783678836206993408
author Sanders, E. D.
Pereira, A.
Paulino, G. H.
author_facet Sanders, E. D.
Pereira, A.
Paulino, G. H.
author_sort Sanders, E. D.
collection PubMed
description Because of increased geometric freedom at a widening range of length scales and access to a growing material space, additive manufacturing has spurred renewed interest in topology optimization of parts with spatially varying material properties and structural hierarchy. Simultaneously, a surge of micro/nanoarchitected materials have been demonstrated. Nevertheless, multiscale design and micro/nanoscale additive manufacturing have yet to be sufficiently integrated to achieve free-form, multiscale, biomimetic structures. We unify design and manufacturing of spatially varying, hierarchical structures through a multimicrostructure topology optimization formulation with continuous multimicrostructure embedding. The approach leads to an optimized layout of multiple microstructural materials within an optimized macrostructure geometry, manufactured with continuously graded interfaces. To make the process modular and controllable and to avoid prohibitively expensive surface representations, we embed the microstructures directly into the 3D printer slices. The ideas provide a critical, interdisciplinary link at the convergence of material and structure in optimal design and manufacturing.
format Online
Article
Text
id pubmed-8046378
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Association for the Advancement of Science
record_format MEDLINE/PubMed
spelling pubmed-80463782021-04-26 Optimal and continuous multilattice embedding Sanders, E. D. Pereira, A. Paulino, G. H. Sci Adv Research Articles Because of increased geometric freedom at a widening range of length scales and access to a growing material space, additive manufacturing has spurred renewed interest in topology optimization of parts with spatially varying material properties and structural hierarchy. Simultaneously, a surge of micro/nanoarchitected materials have been demonstrated. Nevertheless, multiscale design and micro/nanoscale additive manufacturing have yet to be sufficiently integrated to achieve free-form, multiscale, biomimetic structures. We unify design and manufacturing of spatially varying, hierarchical structures through a multimicrostructure topology optimization formulation with continuous multimicrostructure embedding. The approach leads to an optimized layout of multiple microstructural materials within an optimized macrostructure geometry, manufactured with continuously graded interfaces. To make the process modular and controllable and to avoid prohibitively expensive surface representations, we embed the microstructures directly into the 3D printer slices. The ideas provide a critical, interdisciplinary link at the convergence of material and structure in optimal design and manufacturing. American Association for the Advancement of Science 2021-04-14 /pmc/articles/PMC8046378/ /pubmed/33853782 http://dx.doi.org/10.1126/sciadv.abf4838 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Sanders, E. D.
Pereira, A.
Paulino, G. H.
Optimal and continuous multilattice embedding
title Optimal and continuous multilattice embedding
title_full Optimal and continuous multilattice embedding
title_fullStr Optimal and continuous multilattice embedding
title_full_unstemmed Optimal and continuous multilattice embedding
title_short Optimal and continuous multilattice embedding
title_sort optimal and continuous multilattice embedding
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046378/
https://www.ncbi.nlm.nih.gov/pubmed/33853782
http://dx.doi.org/10.1126/sciadv.abf4838
work_keys_str_mv AT sandersed optimalandcontinuousmultilatticeembedding
AT pereiraa optimalandcontinuousmultilatticeembedding
AT paulinogh optimalandcontinuousmultilatticeembedding