Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling
Conductive polymer composites (CPCs) have shown potential for structural health monitoring applications based on repeated findings of irreversible transducer electromechanical property change due to fatigue. In this research, a high-fidelity stochastic modeling framework is explored for predicting t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Nanomaterials |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-4991/13/10/1641 |
| _version_ | 1797598888737112064 |
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| author | Tyler Albright Jared Hobeck |
| author_facet | Tyler Albright Jared Hobeck |
| author_sort | Tyler Albright |
| collection | DOAJ |
| description | Conductive polymer composites (CPCs) have shown potential for structural health monitoring applications based on repeated findings of irreversible transducer electromechanical property change due to fatigue. In this research, a high-fidelity stochastic modeling framework is explored for predicting the electromechanical properties of spherical element-based CPC materials at bulk scales. CPC dogbone specimens are manufactured via casting and their electromechanical properties are characterized via uniaxial tensile testing. Model parameter tuning, demonstrated in previous works, is deployed for improved simulation fidelity. Modeled predictions are found in agreement with experimental results and compared to predictions from a popular analytical model in the literature. |
| first_indexed | 2024-03-11T03:26:59Z |
| format | Article |
| id | doaj.art-ff25bb06ebea4fd08a472edbeb576501 |
| institution | Directory Open Access Journal |
| issn | 2079-4991 |
| language | English |
| last_indexed | 2024-03-11T03:26:59Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nanomaterials |
| spelling | doaj.art-ff25bb06ebea4fd08a472edbeb5765012023-11-18T02:42:37ZengMDPI AGNanomaterials2079-49912023-05-011310164110.3390/nano13101641Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic ModelingTyler Albright0Jared Hobeck1Alan Levin Department of Mechanical & Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USAAlan Levin Department of Mechanical & Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USAConductive polymer composites (CPCs) have shown potential for structural health monitoring applications based on repeated findings of irreversible transducer electromechanical property change due to fatigue. In this research, a high-fidelity stochastic modeling framework is explored for predicting the electromechanical properties of spherical element-based CPC materials at bulk scales. CPC dogbone specimens are manufactured via casting and their electromechanical properties are characterized via uniaxial tensile testing. Model parameter tuning, demonstrated in previous works, is deployed for improved simulation fidelity. Modeled predictions are found in agreement with experimental results and compared to predictions from a popular analytical model in the literature.https://www.mdpi.com/2079-4991/13/10/1641nanocompositecarbon blackpiezoresistivityelectrical conductivitydispersion |
| spellingShingle | Tyler Albright Jared Hobeck Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling Nanomaterials nanocomposite carbon black piezoresistivity electrical conductivity dispersion |
| title | Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling |
| title_full | Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling |
| title_fullStr | Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling |
| title_full_unstemmed | Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling |
| title_short | Investigating the Electromechanical Properties of Carbon Black-Based Conductive Polymer Composites via Stochastic Modeling |
| title_sort | investigating the electromechanical properties of carbon black based conductive polymer composites via stochastic modeling |
| topic | nanocomposite carbon black piezoresistivity electrical conductivity dispersion |
| url | https://www.mdpi.com/2079-4991/13/10/1641 |
| work_keys_str_mv | AT tyleralbright investigatingtheelectromechanicalpropertiesofcarbonblackbasedconductivepolymercompositesviastochasticmodeling AT jaredhobeck investigatingtheelectromechanicalpropertiesofcarbonblackbasedconductivepolymercompositesviastochasticmodeling |