Ionic polymer-metal composite torsional sensor: physics-based modeling and experimental validation
Ionic polymer-metal composites (IPMCs) have intrinsic sensing and actuation properties. Typical IPMC sensors are in the shape of beams and only respond to stimuli acting along beam-bending directions. Rod or tube-shaped IPMCs have been explored as omnidirectional bending actuators or sensors. In thi...
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Veröffentlicht in: | Smart materials and structures 2018-07, Vol.27 (7), p.75039, Article 075039 |
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description | Ionic polymer-metal composites (IPMCs) have intrinsic sensing and actuation properties. Typical IPMC sensors are in the shape of beams and only respond to stimuli acting along beam-bending directions. Rod or tube-shaped IPMCs have been explored as omnidirectional bending actuators or sensors. In this paper, physics-based modeling is studied for a tubular IPMC sensor under pure torsional stimulus. The Poisson-Nernst-Planck model is used to describe the fundamental physics within the IPMC, where it is hypothesized that the anion concentration is coupled to the sum of shear strains induced by the torsional stimulus. Finite element simulation is conducted to solve for the torsional sensing response, where some of the key parameters are identified based on experimental measurements using an artificial neural network. Additional experimental results suggest that the proposed model is able to capture the torsional sensing dynamics for different amplitudes and rates of the torsional stimulus. |
doi_str_mv | 10.1088/1361-665X/aac364 |
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Typical IPMC sensors are in the shape of beams and only respond to stimuli acting along beam-bending directions. Rod or tube-shaped IPMCs have been explored as omnidirectional bending actuators or sensors. In this paper, physics-based modeling is studied for a tubular IPMC sensor under pure torsional stimulus. The Poisson-Nernst-Planck model is used to describe the fundamental physics within the IPMC, where it is hypothesized that the anion concentration is coupled to the sum of shear strains induced by the torsional stimulus. Finite element simulation is conducted to solve for the torsional sensing response, where some of the key parameters are identified based on experimental measurements using an artificial neural network. 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Additional experimental results suggest that the proposed model is able to capture the torsional sensing dynamics for different amplitudes and rates of the torsional stimulus.</description><subject>ionic polymer-metal composite</subject><subject>IPMC sensor</subject><subject>modeling</subject><subject>physics-based modeling</subject><subject>torsional sensor</subject><subject>tubular IPMC</subject><issn>0964-1726</issn><issn>1361-665X</issn><issn>1361-665X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7ePfbmxbr5aJPUmyx-LCx4UfAW0iTVLG1TMlW2_97WFQUVTwMv87wzPAidEnxBsJQLwjhJOc-fFlobxrM9NPuK9tEMFzxLiaD8EB0BbDAmRDIyQ-UqtN4kXaiHxsW0cb2uExOaLoDvXdKHCD60YwauhRAvk-5lAG8gLTU4mzTButq3z4lubeK2nYu-ce3U8aZrb3U_wsfooNI1uJPPOUePN9cPy7t0fX-7Wl6tU8Pyok8Fl85Qa21mXMkNLlhlObeytAXLjJCUCymEoYTS0pS6Yk4XvKIkL6UgVFI2R3jXa2IAiK5S3fiNjoMiWE2O1CRETULUztGI8B-I8f3H033Uvv4Fbr_B8x3oQ6c24TWOiuC_O2d_rEMDigolFBY5ZoXqbMXeAXhsiqQ</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Sharif, Montassar Aidi</creator><creator>Lei, Hong</creator><creator>Al-Rubaiai, Mohammed Khalid</creator><creator>Tan, Xiaobo</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-9879-0631</orcidid><orcidid>https://orcid.org/0000-0002-5542-6266</orcidid></search><sort><creationdate>20180701</creationdate><title>Ionic polymer-metal composite torsional sensor: physics-based modeling and experimental validation</title><author>Sharif, Montassar Aidi ; Lei, Hong ; Al-Rubaiai, Mohammed Khalid ; Tan, Xiaobo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-768ec2ddd4ceb6c093fd66d8bd934c78267877c2122bcbaf3ea96f215b8712823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>ionic polymer-metal composite</topic><topic>IPMC sensor</topic><topic>modeling</topic><topic>physics-based modeling</topic><topic>torsional sensor</topic><topic>tubular IPMC</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharif, Montassar Aidi</creatorcontrib><creatorcontrib>Lei, Hong</creatorcontrib><creatorcontrib>Al-Rubaiai, Mohammed Khalid</creatorcontrib><creatorcontrib>Tan, Xiaobo</creatorcontrib><collection>CrossRef</collection><jtitle>Smart materials and structures</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharif, Montassar Aidi</au><au>Lei, Hong</au><au>Al-Rubaiai, Mohammed Khalid</au><au>Tan, Xiaobo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ionic polymer-metal composite torsional sensor: physics-based modeling and experimental validation</atitle><jtitle>Smart materials and structures</jtitle><stitle>SMS</stitle><addtitle>Smart Mater. Struct</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>27</volume><issue>7</issue><spage>75039</spage><pages>75039-</pages><artnum>075039</artnum><issn>0964-1726</issn><issn>1361-665X</issn><eissn>1361-665X</eissn><coden>SMSTER</coden><abstract>Ionic polymer-metal composites (IPMCs) have intrinsic sensing and actuation properties. Typical IPMC sensors are in the shape of beams and only respond to stimuli acting along beam-bending directions. Rod or tube-shaped IPMCs have been explored as omnidirectional bending actuators or sensors. In this paper, physics-based modeling is studied for a tubular IPMC sensor under pure torsional stimulus. The Poisson-Nernst-Planck model is used to describe the fundamental physics within the IPMC, where it is hypothesized that the anion concentration is coupled to the sum of shear strains induced by the torsional stimulus. Finite element simulation is conducted to solve for the torsional sensing response, where some of the key parameters are identified based on experimental measurements using an artificial neural network. Additional experimental results suggest that the proposed model is able to capture the torsional sensing dynamics for different amplitudes and rates of the torsional stimulus.</abstract><pub>IOP Publishing</pub><doi>10.1088/1361-665X/aac364</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9879-0631</orcidid><orcidid>https://orcid.org/0000-0002-5542-6266</orcidid></addata></record> |
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subjects | ionic polymer-metal composite IPMC sensor modeling physics-based modeling torsional sensor tubular IPMC |
title | Ionic polymer-metal composite torsional sensor: physics-based modeling and experimental validation |
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