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A Mini Review on Fluid Topology Optimization
Topology optimization holds great potential to achieve the best performance for various fluid-related applications like aircraft components and microfluidic mixers. This paper reviews comprehensively the technical progress of this field over the last decade from the viewpoint of structural expressio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647552/ https://www.ncbi.nlm.nih.gov/pubmed/37763351 http://dx.doi.org/10.3390/ma16186073 |
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author | Li, He Wang, Cong Zhang, Xuyu Li, Jie Shen, Jianhu Zhou, Shiwei |
author_facet | Li, He Wang, Cong Zhang, Xuyu Li, Jie Shen, Jianhu Zhou, Shiwei |
author_sort | Li, He |
collection | PubMed |
description | Topology optimization holds great potential to achieve the best performance for various fluid-related applications like aircraft components and microfluidic mixers. This paper reviews comprehensively the technical progress of this field over the last decade from the viewpoint of structural expression. The density-based approach has been widely adopted to design structures due to its simple concept, ease of implementation, and robustness. Different designs using such a pointwise method for systems under Stokes, laminar Navier–Stokes, turbulent, non-Newtonian, and steady-state/unsteady-state fluid flows are reviewed and discussed in depth. Both isogeometric analysis and the moving morphable components/voids methods will demonstrate their advantages regarding integration with computer-aided design. The moving morphable components/voids method also significantly reduces computing costs. From the viewpoint of boundary smoothness, we are most concerned about whether smoother boundaries can reduce objective functions such as energy dissipation even lower. Therefore, this work also concentrates on level set and spline expression methods. Furthermore, we identify isogeometric analysis and machine learning in shaping the field’s future. In addition, the review highlights the following two challenges: achieving accurate fluid model construction and the relatively limited experimental validation of fluid topology optimization outcomes. |
format | Online Article Text |
id | pubmed-10647552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106475522023-09-05 A Mini Review on Fluid Topology Optimization Li, He Wang, Cong Zhang, Xuyu Li, Jie Shen, Jianhu Zhou, Shiwei Materials (Basel) Review Topology optimization holds great potential to achieve the best performance for various fluid-related applications like aircraft components and microfluidic mixers. This paper reviews comprehensively the technical progress of this field over the last decade from the viewpoint of structural expression. The density-based approach has been widely adopted to design structures due to its simple concept, ease of implementation, and robustness. Different designs using such a pointwise method for systems under Stokes, laminar Navier–Stokes, turbulent, non-Newtonian, and steady-state/unsteady-state fluid flows are reviewed and discussed in depth. Both isogeometric analysis and the moving morphable components/voids methods will demonstrate their advantages regarding integration with computer-aided design. The moving morphable components/voids method also significantly reduces computing costs. From the viewpoint of boundary smoothness, we are most concerned about whether smoother boundaries can reduce objective functions such as energy dissipation even lower. Therefore, this work also concentrates on level set and spline expression methods. Furthermore, we identify isogeometric analysis and machine learning in shaping the field’s future. In addition, the review highlights the following two challenges: achieving accurate fluid model construction and the relatively limited experimental validation of fluid topology optimization outcomes. MDPI 2023-09-05 /pmc/articles/PMC10647552/ /pubmed/37763351 http://dx.doi.org/10.3390/ma16186073 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Li, He Wang, Cong Zhang, Xuyu Li, Jie Shen, Jianhu Zhou, Shiwei A Mini Review on Fluid Topology Optimization |
title | A Mini Review on Fluid Topology Optimization |
title_full | A Mini Review on Fluid Topology Optimization |
title_fullStr | A Mini Review on Fluid Topology Optimization |
title_full_unstemmed | A Mini Review on Fluid Topology Optimization |
title_short | A Mini Review on Fluid Topology Optimization |
title_sort | mini review on fluid topology optimization |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647552/ https://www.ncbi.nlm.nih.gov/pubmed/37763351 http://dx.doi.org/10.3390/ma16186073 |
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