Swelling Behaviors of Natural Rubber/Solvent Systems Based on the Extended Modified Double Lattice Modelopen access
- Authors
- Pai, Sung Jin; Kang, Eung Jun; Ahn, Won Min; Kim, Jae Sung; Bae, Young Chan; Kwon, Ji Won; Oh, Jeong Seok
- Issue Date
- Jul-2024
- Publisher
- John Wiley & Sons Ltd.
- Keywords
- crosslink density; Flory–Hüggins; modified double lattice; natural rubber; swelling experiment
- Citation
- Macromolecular Theory and Simulations, v.33, no.4
- Indexed
- SCIE
SCOPUS
- Journal Title
- Macromolecular Theory and Simulations
- Volume
- 33
- Number
- 4
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/70608
- DOI
- 10.1002/mats.202400015
- ISSN
- 1022-1344
1521-3919
- Abstract
- Swelling experiments are conducted on nonfiller natural rubber using four solvents (toluene, cyclohexane, tetrahydrofuran (THF), and methylethylketone (MEK)) over temperatures from 10 to 70 °C. Toluene, cyclohexane, and THF, classified as effective solvents, show swelling ratios between 3 and 7, influenced by the crosslink density of the rubber. MEK, however, has a lower ratio of 1.5 to 2. Temperature has a minor impact on swelling compared to the crosslink density. The study evaluates the Extended Modified Double Lattice (EMDL) model for its mixing contribution in polymer network swelling, aiming to improve the Flory–Hüggins (FH) model. The superiority of EMDL above FH is in the boundary condition at the unvulcanized state, the former aligning its interaction energy with values from solvent activities in primary linear polymer/solvent solutions, unlike the FH model. The EMDL model also accounts for oriented interactions in polar solvents through a secondary lattice, linking specific interaction energy with solvent dipole moments. The study observes a nonlinear correlation between crosslinking density and sulfur amount, proposing a nonrandom mixing at lower sulfur concentrations. This model shows strong alignment with experimental data, suggesting that replacing the FH model's mixing contribution with the EMDL model could improve results with minimal additional complexity. © 2024 The Authors. Macromolecular Theory and Simulations published by Wiley-VCH GmbH.
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