Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks
CC-BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00397-023-01407-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/9007 |
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oai:localhost:PNK-90072023-09-14T08:28:31Z Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks Lennon, Kyle R. Rathinaraj, Joshua David John Cadena, Miguel A. Gonzalez MAPS SGR CC-BY Anticipating qualitative changes in the rheological response of complex fluids (e.g., a gelation or vitrification transition) is an important capability for processing operations that utilize such materials in real-world environments. One class of complex fluids that exhibits distinct rheological states are soft glassy materials such as colloidal gels and clay dispersions, which can be well characterized by the soft glassy rheology (SGR) model. We first solve the model equations for the time-dependent, weakly nonlinear response of the SGR model. With this analytical solution, we show that the weak nonlinearities measured via medium amplitude parallel superposition (MAPS) rheology can be used to anticipate the rheological aging transitions in the linear response of soft glassy materials. This is a rheological version of a technique called structural health monitoring used widely in civil and aerospace engineering. 2023-09-14T08:28:31Z 2023-09-14T08:28:31Z 2023 Book https://link.springer.com/article/10.1007/s00397-023-01407-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/9007 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
MAPS SGR |
| spellingShingle |
MAPS SGR Lennon, Kyle R. Rathinaraj, Joshua David John Cadena, Miguel A. Gonzalez Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks |
| description |
CC-BY |
| format |
Book |
| author |
Lennon, Kyle R. Rathinaraj, Joshua David John Cadena, Miguel A. Gonzalez |
| author_facet |
Lennon, Kyle R. Rathinaraj, Joshua David John Cadena, Miguel A. Gonzalez |
| author_sort |
Lennon, Kyle R. |
| title |
Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks |
| title_short |
Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks |
| title_full |
Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks |
| title_fullStr |
Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks |
| title_full_unstemmed |
Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks |
| title_sort |
anticipating gelation and vitrification with medium amplitude parallel superposition (maps) rheology and artificial neural networks |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s00397-023-01407-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/9007 |
| _version_ |
1779307146861608960 |
| score |
8.891787 |