Cooperative dynamics of heuristic swelling and inhibitive micellization in double-network hydrogels by ionic dissociation of polyelectrolyte

Xing, Ziyu; Lu, Haibao; Hossain, Mokarram; Fu, Yong Qing; Leng, Jinsong; Du, Shanyi

doi:10.1016/j.polymer.2019.122039

Cited by 16 publications

(11 citation statements)

References 32 publications

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“…An increase rate of 134% of engineering stress is achieved, whereas the s  is decreased from 95.5% to 85.0%. The large engineering stress is resulted from the low water concentration ( s  ) based on the rubber elasticity theory [38]. Furthermore, two groups of experimental data [13] of PAAm-MC DN hydrogels have been used to verify the analytical results obtained using the proposed model of equation (23).…”

Section: Constitutive Relationship Of Stress-stretching Ratiomentioning

confidence: 99%

Negatively thermodynamic toughening in double network hydrogel towards cooling-triggered multi-shape memory effect

Wang

et al. 2021

Smart Mater. Struct.

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This paper explores fundamental mechanisms of negatively thermodynamic toughening during microphase separations of double network (DN) hydrogels, which have dynamically coordinating components with adjustable swelling behavior and designable multi-shape memory effect (multi-SME). Based on the Flory-Huggins theory and Fick's second law, a thermodynamic model is formulated to study the diffusive dynamics, cooling-triggered multi-SME and mechanical toughness of the DN hydrogels. The negatively thermodynamic toughening effect of the DN hydrogels is strongly dependent on their water concentration, hydrophobic transition and microphase separation. Finally, effectiveness of this new model is demonstrated by applying it to predict dual-SME, quadruple-SME and cooling-triggered shape memory behaviors of DN hydrogels. This study provides a methodology for the design of shape memory DN hydrogels with tunable, giant and programmable cooling-triggered multi-SME.

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Section: Constitutive Relationship Of Stress-stretching Ratiomentioning

confidence: 99%

Negatively thermodynamic toughening in double network hydrogel towards cooling-triggered multi-shape memory effect

Wang

et al. 2021

Smart Mater. Struct.

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“…1 ln( ) According to equations ( 18), ( 20) and ( 24), the constitutive stress-elongation ratio relationship can be written using the extended Maxwell model [34],…”

Section: Modeling Of Entanglement and Dangling Effectsmentioning

confidence: 99%

A dynamic model of complexly mechanoresponsive chain-poly[n]-catenations in double-network polyampholyte hydrogels

Xing¹,

Lu²,

Fu³

2020

Smart Mater. Struct.

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Polyampholytes have been widely used to improve mechanical performance of double-network (DN) hydrogels, however, the complex mechanisms of electric charge reactions and chain catenations have not been well understood. In this study, a collective and cooperative model is developed to describe the dynamics and constitutive relationships of complexly mechanoresponsive chain-poly[n]-catenations in polyampholyte DN hydrogels. The freely jointed chain (FJC) model and Flory–Huggins theory are firstly employed to formulate mechanochemical behaviors of the DN hydrogels, in which the stretchable network undergoes a folding-to-unfolding transition and the brittle one undergoes a reversibly mechanochemical transition. The worm like chain (WLC) model is then introduced to describe the chain-poly[n]-catenations, of which the strong and weak ionic bonds have been modeled based on the entanglement and dangling effects, respectively. Finally, a free-energy equation is developed to describe their collective and cooperative dynamics. Effectiveness of the newly proposed model is verified by applying it to predict the experimental results of the polyampholyte DN hydrogels reported in literature.

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“…Previous studies have well characterized the mechanical behavior and toughening mechanism of DN hydrogels, and a series of phenomenological models have also been formulated to describe their mechanoresponsive behavior [28][29][30][31][32]. Furthermore, other types of DN hydrogels have been synthesized to improve the mechanical performance using ionic bond, hydrogen bond, or monomer additive [7][8][9][10][11]33].…”

Section: Introductionmentioning

confidence: 99%

Mechanoresponsive resonance differences in double-network hydrogels towards multipartite dynamics

Xing¹,

Li²,

Lu³

et al. 2021

J. Phys. D: Appl. Phys.

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Unlike single-network hydrogel whose thermodynamic equilibrium of all phases is governed by one single rule, double-network (DN) hydrogel is incorporated of two coexisting phases, which are separated from each other due to the differences in their mechanoresponsive responses. However, the resonance differences and multipartite dynamics of coexisting phases in these DN hydrogels have not been fully understood. This paper reports a new methodology to use a rheological model in combination of Arrhenius principle and Kirkwood approximation, to characterize the differences in mechanoresponsive resonances and viscoelastic behaviors of coexisting phases in the DN hydrogel. Their multipartite dynamics has been identified to originate from mechanical stretching, mechanochemical coupling and chemical kinetics of the ductile network, original brittle network and self-healed brittle network, respectively. Furthermore, molecular dynamics simulation and finite-element analysis have been conducted to verify the proposed model and explore the toughening mechanism, which is determined not only by the mechanochemical coupling, but also by the self-healing kinetics. Finally, effectiveness of proposed model has been well verified using the experimental results of DN hydrogels reported in literature.

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Cooperative dynamics of heuristic swelling and inhibitive micellization in double-network hydrogels by ionic dissociation of polyelectrolyte

Cited by 16 publications

References 32 publications

Negatively thermodynamic toughening in double network hydrogel towards cooling-triggered multi-shape memory effect

Negatively thermodynamic toughening in double network hydrogel towards cooling-triggered multi-shape memory effect

A dynamic model of complexly mechanoresponsive chain-poly[n]-catenations in double-network polyampholyte hydrogels

Mechanoresponsive resonance differences in double-network hydrogels towards multipartite dynamics

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