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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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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 |
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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 |