A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effect
The pH-responsive shape memory polymers (pH-SMPs) have recently attracted significant attention due to their unique and spontaneous actuation capabilities. However, there are few constitutive models developed to explore the working principles behind these complex shape memory behaviors. In this stud...
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Elsevier
2025-02-01
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| Series: | Giant |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666542524001115 |
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| author | Jiabin Shi Haibao Lu Tengfei Zheng Yong-Qing Fu |
| author_facet | Jiabin Shi Haibao Lu Tengfei Zheng Yong-Qing Fu |
| author_sort | Jiabin Shi |
| collection | DOAJ |
| description | The pH-responsive shape memory polymers (pH-SMPs) have recently attracted significant attention due to their unique and spontaneous actuation capabilities. However, there are few constitutive models developed to explore the working principles behind these complex shape memory behaviors. In this study, a dynamic entanglement model was developed for describing the pH-responsive shape memory effect (SME) in SMPs, in which the crosslinking points in polymer networks underwent reversible entanglements and disentanglements. Susceptible-Infected-Susceptible (SIS) model was firstly employed to formulate an entanglement probability function, which was used to identify the working principles for entanglements of polymer networks and shape recovery of the pH-SMPs. An entanglement free-energy function was further formulated to characterize the pH-responsive dual-SMEs based on the Flory-Huggins solution theory. Phase transition theory was then used to characterize glass transition behaviors and recovery strains of the pH-SMPs, by combining Gordon-Taylor and Kohlrausch-Williams-Watts (KWW) equations. Finally, the proposed model was verified using experimental results reported in the literature. This study provides a fundamental approach to explore the working principle and constitutive relationship between reversible entanglement and pH-responsive SME in SMPs. |
| format | Article |
| id | doaj-art-e4af4884f38e4501a69fbc5c341c6371 |
| institution | DOAJ |
| issn | 2666-5425 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
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| series | Giant |
| spelling | doaj-art-e4af4884f38e4501a69fbc5c341c63712025-08-20T02:43:54ZengElsevierGiant2666-54252025-02-012110034710.1016/j.giant.2024.100347A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effectJiabin Shi0Haibao Lu1Tengfei Zheng2Yong-Qing Fu3Science and Technology on Advanced Composites in Special Environments Laboratory, Harbin Institute of Technology, Harbin 150080, PR ChinaScience and Technology on Advanced Composites in Special Environments Laboratory, Harbin Institute of Technology, Harbin 150080, PR China; Corresponding authors.School of Mechanical Engineering, Xi'an Jiaotong University, Xian, Shaanxi, 710049, PR ChinaSchool of Mechanical Engineering, Xi'an Jiaotong University, Xian, Shaanxi, 710049, PR China; Corresponding authors.The pH-responsive shape memory polymers (pH-SMPs) have recently attracted significant attention due to their unique and spontaneous actuation capabilities. However, there are few constitutive models developed to explore the working principles behind these complex shape memory behaviors. In this study, a dynamic entanglement model was developed for describing the pH-responsive shape memory effect (SME) in SMPs, in which the crosslinking points in polymer networks underwent reversible entanglements and disentanglements. Susceptible-Infected-Susceptible (SIS) model was firstly employed to formulate an entanglement probability function, which was used to identify the working principles for entanglements of polymer networks and shape recovery of the pH-SMPs. An entanglement free-energy function was further formulated to characterize the pH-responsive dual-SMEs based on the Flory-Huggins solution theory. Phase transition theory was then used to characterize glass transition behaviors and recovery strains of the pH-SMPs, by combining Gordon-Taylor and Kohlrausch-Williams-Watts (KWW) equations. Finally, the proposed model was verified using experimental results reported in the literature. This study provides a fundamental approach to explore the working principle and constitutive relationship between reversible entanglement and pH-responsive SME in SMPs.http://www.sciencedirect.com/science/article/pii/S2666542524001115Shape memory polymerDynamic entanglementpH-responsiveModel |
| spellingShingle | Jiabin Shi Haibao Lu Tengfei Zheng Yong-Qing Fu A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effect Giant Shape memory polymer Dynamic entanglement pH-responsive Model |
| title | A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effect |
| title_full | A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effect |
| title_fullStr | A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effect |
| title_full_unstemmed | A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effect |
| title_short | A dynamic entanglement model for adaptive networks in amorphous polymers with pH-responsive dual-shape memory effect |
| title_sort | dynamic entanglement model for adaptive networks in amorphous polymers with ph responsive dual shape memory effect |
| topic | Shape memory polymer Dynamic entanglement pH-responsive Model |
| url | http://www.sciencedirect.com/science/article/pii/S2666542524001115 |
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