Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model Fidelity
Carbon black nanocomposites are complex systems that show potential for engineering applications. Understanding the influence of preparation methods on the engineering properties of these materials is critical for widespread deployment. In this study, the fidelity of a stochastic fractal aggregate p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Nanomaterials |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-4991/13/5/916 |
| _version_ | 1797614668883165184 |
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| author | Tyler Albright Jared Hobeck |
| author_facet | Tyler Albright Jared Hobeck |
| author_sort | Tyler Albright |
| collection | DOAJ |
| description | Carbon black nanocomposites are complex systems that show potential for engineering applications. Understanding the influence of preparation methods on the engineering properties of these materials is critical for widespread deployment. In this study, the fidelity of a stochastic fractal aggregate placement algorithm is explored. A high-speed spin-coater is deployed for the creation of nanocomposite thin films of varying dispersion characteristics, which are imaged via light microscopy. Statistical analysis is performed and compared to 2D image statistics of stochastically generated RVEs with comparable volumetric properties. Correlations between simulation variables and image statistics are examined. Future and current works are discussed. |
| first_indexed | 2024-03-11T07:15:36Z |
| format | Article |
| id | doaj.art-78ddf2fa0c6e46a0bae71fab2f578043 |
| institution | Directory Open Access Journal |
| issn | 2079-4991 |
| language | English |
| last_indexed | 2024-03-11T07:15:36Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nanomaterials |
| spelling | doaj.art-78ddf2fa0c6e46a0bae71fab2f5780432023-11-17T08:18:17ZengMDPI AGNanomaterials2079-49912023-03-0113591610.3390/nano13050916Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model FidelityTyler Albright0Jared Hobeck1Alan Levin Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USAAlan Levin Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS 66506, USACarbon black nanocomposites are complex systems that show potential for engineering applications. Understanding the influence of preparation methods on the engineering properties of these materials is critical for widespread deployment. In this study, the fidelity of a stochastic fractal aggregate placement algorithm is explored. A high-speed spin-coater is deployed for the creation of nanocomposite thin films of varying dispersion characteristics, which are imaged via light microscopy. Statistical analysis is performed and compared to 2D image statistics of stochastically generated RVEs with comparable volumetric properties. Correlations between simulation variables and image statistics are examined. Future and current works are discussed.https://www.mdpi.com/2079-4991/13/5/916stochastic modelingcarbon blackmicrostructurepiezoresistivitythin-films |
| spellingShingle | Tyler Albright Jared Hobeck Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model Fidelity Nanomaterials stochastic modeling carbon black microstructure piezoresistivity thin-films |
| title | Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model Fidelity |
| title_full | Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model Fidelity |
| title_fullStr | Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model Fidelity |
| title_full_unstemmed | Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model Fidelity |
| title_short | Characterization of Carbon-Black-Based Nanocomposite Mixtures of Varying Dispersion for Improving Stochastic Model Fidelity |
| title_sort | characterization of carbon black based nanocomposite mixtures of varying dispersion for improving stochastic model fidelity |
| topic | stochastic modeling carbon black microstructure piezoresistivity thin-films |
| url | https://www.mdpi.com/2079-4991/13/5/916 |
| work_keys_str_mv | AT tyleralbright characterizationofcarbonblackbasednanocompositemixturesofvaryingdispersionforimprovingstochasticmodelfidelity AT jaredhobeck characterizationofcarbonblackbasednanocompositemixturesofvaryingdispersionforimprovingstochasticmodelfidelity |