Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale Constraints
Due to the limits of computational time and computer memory, topology optimization problems involving fluidic flow frequently use simplified 2D models. Extruded versions of the 2D optimized results typically comprise the 3D designs to be fabricated. In practice, the depth of the fabricated flow chan...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/11/6/613 |
| _version_ | 1827714364673622016 |
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| author | Yuchen Guo Hui Pan Eddie Wadbro Zhenyu Liu |
| author_facet | Yuchen Guo Hui Pan Eddie Wadbro Zhenyu Liu |
| author_sort | Yuchen Guo |
| collection | DOAJ |
| description | Due to the limits of computational time and computer memory, topology optimization problems involving fluidic flow frequently use simplified 2D models. Extruded versions of the 2D optimized results typically comprise the 3D designs to be fabricated. In practice, the depth of the fabricated flow channels is finite; the limited flow depth together with the no-slip condition potentially make the fluidic performance of the 3D model very different from that of the simplified 2D model. This discrepancy significantly limits the usefulness of performing topology optimization involving fluidic flow in 2D—at least if special care is not taken. Inspired by the electric circuit analogy method, we limit the widths of the microchannels in the 2D optimization process. To reduce the difference of fluidic performance between the 2D model and its 3D counterpart, we propose an applicable 2D optimization model, and ensure the manufacturability of the obtained layout, combinations of several morphology-mimicking filters impose maximum or minimum length scales on the solid phase or the fluidic phase. Two typical Lab-on-chip functional units, Tesla valve and fluidic channel splitter, are used to illustrate the validity of the proposed application of length scale control. |
| first_indexed | 2024-03-10T18:55:43Z |
| format | Article |
| id | doaj.art-d25bca0532e74432941a5c2999db559c |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T18:55:43Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-d25bca0532e74432941a5c2999db559c2023-11-20T04:50:28ZengMDPI AGMicromachines2072-666X2020-06-0111661310.3390/mi11060613Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale ConstraintsYuchen Guo0Hui Pan1Eddie Wadbro2Zhenyu Liu3Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Chinese Academy of Science, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Chinese Academy of Science, Changchun 130033, ChinaDepartment of Computing Science, Umeå University, SE-901 87 Umeå, SwedenChangchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Chinese Academy of Science, Changchun 130033, ChinaDue to the limits of computational time and computer memory, topology optimization problems involving fluidic flow frequently use simplified 2D models. Extruded versions of the 2D optimized results typically comprise the 3D designs to be fabricated. In practice, the depth of the fabricated flow channels is finite; the limited flow depth together with the no-slip condition potentially make the fluidic performance of the 3D model very different from that of the simplified 2D model. This discrepancy significantly limits the usefulness of performing topology optimization involving fluidic flow in 2D—at least if special care is not taken. Inspired by the electric circuit analogy method, we limit the widths of the microchannels in the 2D optimization process. To reduce the difference of fluidic performance between the 2D model and its 3D counterpart, we propose an applicable 2D optimization model, and ensure the manufacturability of the obtained layout, combinations of several morphology-mimicking filters impose maximum or minimum length scales on the solid phase or the fluidic phase. Two typical Lab-on-chip functional units, Tesla valve and fluidic channel splitter, are used to illustrate the validity of the proposed application of length scale control.https://www.mdpi.com/2072-666X/11/6/613topology optimizationfluidic flowlength scale controlmorphology mimicking filters |
| spellingShingle | Yuchen Guo Hui Pan Eddie Wadbro Zhenyu Liu Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale Constraints Micromachines topology optimization fluidic flow length scale control morphology mimicking filters |
| title | Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale Constraints |
| title_full | Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale Constraints |
| title_fullStr | Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale Constraints |
| title_full_unstemmed | Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale Constraints |
| title_short | Design Applicable 3D Microfluidic Functional Units Using 2D Topology Optimization with Length Scale Constraints |
| title_sort | design applicable 3d microfluidic functional units using 2d topology optimization with length scale constraints |
| topic | topology optimization fluidic flow length scale control morphology mimicking filters |
| url | https://www.mdpi.com/2072-666X/11/6/613 |
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