Linear and Nonlinear Viscoelasticities of Dissociative and Associative Covalent Adaptable Networks: Discrepancies and Limits

Cui, Xiang;Jiang, Nuofei;Shao, Jingyu;Zhang, Hongdong;Tang, Ping;et.al.
(2023) Macromolecules — Vol. 56, n° 3, p. 772-784 (2023)

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Authors
  • Cui, Xiang
    Author
  • Jiang, NuofeiUCLouvain
    Author
  • Shao, Jingyu
    Author
  • Zhang, Hongdong
    Author
  • Tang, Pingorcid-logo
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Abstract
Covalent adaptable networks (CANs) can be classified into dissociative (Diss-CANs) and associative (Asso-CANs) networks according to the exchange mechanism of covalent bonds. We simulate the exchange reaction by the hybrid Monte Carlo–molecular dynamics (hybrid MC/MD) algorithm, aiming to discover the connection and difference between Diss-CANs and Asso-CANs in viscoelasticity behavior. In the linear regime, a major difference originating from the cross-linking density is reflected in the pre-exponential factor τs0 of the characteristic relaxation time τs. For nonlinear rheology, Diss-CANs show a faster shear thinning behavior under steady shear, while Asso-CANs have a stronger strain hardening under the shear rate start-up. The physics behind the phenomenon results from the different chain conformations and configurations related to the exchange mechanism. Compared with Diss-CANs, the inability for sticker dissociation of Asso-CANs generates a slower relaxation under shear, leading to less chain orientation and tumbling. Meanwhile, we find that multiscale relaxation times obtained from linear viscoelasticity (LVE) can be crucial limits in nonlinear applications for associative polymers (APs). Our work strongly deepens the understanding of APs in terms of both linear and nonlinear viscoelasticities.
Affiliations
  • State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai200433, China

Citations

Cui, X., Jiang, N., Shao, J., Zhang, H., Yang, Y., & Tang, P. (2023). Linear and Nonlinear Viscoelasticities of Dissociative and Associative Covalent Adaptable Networks: Discrepancies and Limits. Macromolecules, 56(3), 772-784. https://doi.org/10.1021/acs.macromol.2c02122 (Original work published 2023)