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Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm
This paper describes a novel electrostatically actuated microgripper with freeform geometries designed by a genetic algorithm. This new semiautomated design methodology is capable of designing near-optimal MEMS devices that are robust to fabrication tolerances. The use of freeform geometries designe...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733005/ https://www.ncbi.nlm.nih.gov/pubmed/35047208 http://dx.doi.org/10.1038/s41378-021-00336-0 |
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author | Wang, Chen Wang, Yuan Fang, Weidong Song, Xiaoxiao Quan, Aojie Gidts, Michiel Zhang, Hemin Liu, Huafeng Bai, Jian Sadeghpour, Sina Kraft, Michael |
author_facet | Wang, Chen Wang, Yuan Fang, Weidong Song, Xiaoxiao Quan, Aojie Gidts, Michiel Zhang, Hemin Liu, Huafeng Bai, Jian Sadeghpour, Sina Kraft, Michael |
author_sort | Wang, Chen |
collection | PubMed |
description | This paper describes a novel electrostatically actuated microgripper with freeform geometries designed by a genetic algorithm. This new semiautomated design methodology is capable of designing near-optimal MEMS devices that are robust to fabrication tolerances. The use of freeform geometries designed by a genetic algorithm significantly improves the performance of the microgripper. An experiment shows that the designed microgripper has a large displacement (91.5 μm) with a low actuation voltage (47.5 V), which agrees well with the theory. The microgripper has a large actuation displacement and can handle micro-objects with a size from 10 to 100 μm. A grasping experiment on human hair with a diameter of 77 μm was performed to prove the functionality of the gripper. The result confirmed the superior performance of the new design methodology enabling freeform geometries. This design method can also be extended to the design of many other MEMS devices. |
format | Online Article Text |
id | pubmed-8733005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87330052022-01-18 Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm Wang, Chen Wang, Yuan Fang, Weidong Song, Xiaoxiao Quan, Aojie Gidts, Michiel Zhang, Hemin Liu, Huafeng Bai, Jian Sadeghpour, Sina Kraft, Michael Microsyst Nanoeng Article This paper describes a novel electrostatically actuated microgripper with freeform geometries designed by a genetic algorithm. This new semiautomated design methodology is capable of designing near-optimal MEMS devices that are robust to fabrication tolerances. The use of freeform geometries designed by a genetic algorithm significantly improves the performance of the microgripper. An experiment shows that the designed microgripper has a large displacement (91.5 μm) with a low actuation voltage (47.5 V), which agrees well with the theory. The microgripper has a large actuation displacement and can handle micro-objects with a size from 10 to 100 μm. A grasping experiment on human hair with a diameter of 77 μm was performed to prove the functionality of the gripper. The result confirmed the superior performance of the new design methodology enabling freeform geometries. This design method can also be extended to the design of many other MEMS devices. Nature Publishing Group UK 2022-01-06 /pmc/articles/PMC8733005/ /pubmed/35047208 http://dx.doi.org/10.1038/s41378-021-00336-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Chen Wang, Yuan Fang, Weidong Song, Xiaoxiao Quan, Aojie Gidts, Michiel Zhang, Hemin Liu, Huafeng Bai, Jian Sadeghpour, Sina Kraft, Michael Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm |
title | Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm |
title_full | Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm |
title_fullStr | Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm |
title_full_unstemmed | Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm |
title_short | Design of a large-range rotary microgripper with freeform geometries using a genetic algorithm |
title_sort | design of a large-range rotary microgripper with freeform geometries using a genetic algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733005/ https://www.ncbi.nlm.nih.gov/pubmed/35047208 http://dx.doi.org/10.1038/s41378-021-00336-0 |
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