Journal article 351 views 104 downloads
Renormalized Flory‐Huggins lattice model of physicochemical kinetics and dynamic complexity in self‐healing double‐network hydrogel
Ziyu Xing,
Haibao Lu,
Mokarram Hossain 
Journal of Applied Polymer Science, Volume: 138, Issue: 17, Start page: 50304
Swansea University Author:
Mokarram Hossain
-
PDF | Accepted Manuscript
Download (2.56MB)
DOI (Published version): 10.1002/app.50304
Abstract
Self‐healing capability offers great designability on mechanical properties of double‐network (DN) hydrogel. However, the thermodynamics understanding behind such physicochemical transitions and self‐healing behaviors are yet to be explored properly. This study describes a renormalized Flory‐Huggins...
| Published in: | Journal of Applied Polymer Science |
|---|---|
| ISSN: | 0021-8995 1097-4628 |
| Published: |
Wiley
2021
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa55753 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
Self‐healing capability offers great designability on mechanical properties of double‐network (DN) hydrogel. However, the thermodynamics understanding behind such physicochemical transitions and self‐healing behaviors are yet to be explored properly. This study describes a renormalized Flory‐Huggins lattice model for DN hydrogels, of which the physicochemical kinetics and dynamic complexity are resulted from stress‐induced bond scission and macromolecule rearrangement. Based on the Flory‐Huggins lattice model and Gaussian distribution theory, an extended free‐energy model was formulated by the steric repulsive free‐energy function. Afterwards, the function was used to identify the working mechanisms and thermodynamics in self‐healing DN hydrogels with ultra‐high mechanical strength. Finally, the effectiveness of model was demonstrated by applying it to predict the mechanical behaviors of DN hydrogels, where the analytical results showed good agreements with experiment data. |
|---|---|
| Keywords: |
kinetics; stimuli‐sensitive polymers; theory and modeling |
| College: |
Faculty of Science and Engineering |
| Issue: |
17 |
| Start Page: |
50304 |