Cargando…
A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors
Smart deformable structures that integrate designing, sensing, and controlling technology have been widely applied in the fields of aerospace, robotics, and biomedical engineering due to their multi-functional requirements. The deformation reconstruction method essential for security monitoring and...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229646/ https://www.ncbi.nlm.nih.gov/pubmed/35744524 http://dx.doi.org/10.3390/mi13060910 |
_version_ | 1784734801916329984 |
---|---|
author | Yu, Chengguo Gao, Xinyu Liao, Wenlin Zhang, Zhili Wang, Guishan |
author_facet | Yu, Chengguo Gao, Xinyu Liao, Wenlin Zhang, Zhili Wang, Guishan |
author_sort | Yu, Chengguo |
collection | PubMed |
description | Smart deformable structures that integrate designing, sensing, and controlling technology have been widely applied in the fields of aerospace, robotics, and biomedical engineering due to their multi-functional requirements. The deformation reconstruction method essential for security monitoring and shape controlling, especially for the large deflection deformation, remains a challenge on accuracy and efficiency. This paper takes a wind tunnel’s fixed-flexible nozzle (FFN) plate as the research object to develop a highly accurate deformation reconstruction method based on sensing information from flexible strain sensors. The mechanical behaviors of the FFN plate with large deflection deformation, which is modeled as a cantilever beam, are studied to analyze the relationship of the strain and moment. Furthermore, the large deflection factor and shell bending theory are creatively utilized to derive and modify the strain–moment based reconstruction method (SMRM), where the contour of the FFN plate is solved by particular elliptic integrals. As a result, structural simulation based on ABAQUS further demonstrates that the reconstruction error of SMRM is 21.13% less than that of the classic Ko-based reconstruction method (KORM). An FFN prototype accompanied by customized flexible sensors is developed to evaluate the accuracy and efficiency of the SMRM, resulting in a maximum relative error of 3.97% that is acceptable for practical applications in smart deformable structures, not limited to the FFN plate. |
format | Online Article Text |
id | pubmed-9229646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92296462022-06-25 A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors Yu, Chengguo Gao, Xinyu Liao, Wenlin Zhang, Zhili Wang, Guishan Micromachines (Basel) Article Smart deformable structures that integrate designing, sensing, and controlling technology have been widely applied in the fields of aerospace, robotics, and biomedical engineering due to their multi-functional requirements. The deformation reconstruction method essential for security monitoring and shape controlling, especially for the large deflection deformation, remains a challenge on accuracy and efficiency. This paper takes a wind tunnel’s fixed-flexible nozzle (FFN) plate as the research object to develop a highly accurate deformation reconstruction method based on sensing information from flexible strain sensors. The mechanical behaviors of the FFN plate with large deflection deformation, which is modeled as a cantilever beam, are studied to analyze the relationship of the strain and moment. Furthermore, the large deflection factor and shell bending theory are creatively utilized to derive and modify the strain–moment based reconstruction method (SMRM), where the contour of the FFN plate is solved by particular elliptic integrals. As a result, structural simulation based on ABAQUS further demonstrates that the reconstruction error of SMRM is 21.13% less than that of the classic Ko-based reconstruction method (KORM). An FFN prototype accompanied by customized flexible sensors is developed to evaluate the accuracy and efficiency of the SMRM, resulting in a maximum relative error of 3.97% that is acceptable for practical applications in smart deformable structures, not limited to the FFN plate. MDPI 2022-06-08 /pmc/articles/PMC9229646/ /pubmed/35744524 http://dx.doi.org/10.3390/mi13060910 Text en © 2022 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 | Article Yu, Chengguo Gao, Xinyu Liao, Wenlin Zhang, Zhili Wang, Guishan A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors |
title | A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors |
title_full | A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors |
title_fullStr | A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors |
title_full_unstemmed | A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors |
title_short | A Highly Accurate Method for Deformation Reconstruction of Smart Deformable Structures Based on Flexible Strain Sensors |
title_sort | highly accurate method for deformation reconstruction of smart deformable structures based on flexible strain sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229646/ https://www.ncbi.nlm.nih.gov/pubmed/35744524 http://dx.doi.org/10.3390/mi13060910 |
work_keys_str_mv | AT yuchengguo ahighlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT gaoxinyu ahighlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT liaowenlin ahighlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT zhangzhili ahighlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT wangguishan ahighlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT yuchengguo highlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT gaoxinyu highlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT liaowenlin highlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT zhangzhili highlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors AT wangguishan highlyaccuratemethodfordeformationreconstructionofsmartdeformablestructuresbasedonflexiblestrainsensors |