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Anticipating gelation and vitrification with medium amplitude parallel superposition (MAPS) rheology and artificial neural networks

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Bibliographic Details
Main Authors: Lennon, Kyle R., Rathinaraj, Joshua David John, Cadena, Miguel A. Gonzalez
Format: Book
Language:English
Published: Springer 2023
Subjects:
MAPS
SGR
Online Access:https://link.springer.com/article/10.1007/s00397-023-01407-x
https://dlib.phenikaa-uni.edu.vn/handle/PNK/9007
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spelling 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 8.881002

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