Viscoelastic properties and self‐healing behavior in a family of supramolecular ionic blends from silicone functional oligomers

Suriano, Raffaella; Boumezgane, Oussama; Tonelli, Claudio; Turri, Stefano

doi:10.1002/pat.5049

Cited by 13 publications

(8 citation statements)

References 43 publications

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“…The formation of ionic supramolecular aggregates can be evaluated by FT‐IR spectroscopy, identifying an absorbance increase in two peaks situated at 1625 cm −1 and 1570 cm −1 . These two peaks can be attributed to the formation of carboxylate ions, 34 which have a greater polarity than the non‐dissociated carboxylic acid pendants they are originated from. Figure 3B shows the detail of the 1750–1450 cm −1 range, in terms of absorbance difference percentage between the blend and the cationomer.…”

Section: Resultsmentioning

confidence: 99%

“…These two peaks can be attributed to the formation of carboxylate ions, 34 which have a greater polarity than the non-dissociated carboxylic acid pendants they are originated from. Figure 3B shows the detail of the 1750-1450 cm À1 range, in terms of absorbance difference percentage between the blend and the cationomer.…”

Section: Dynamic Mechanical Analysis (Dma)mentioning

confidence: 99%

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Self‐healing behavior in blends of PDMS‐based polyurethane ionomers

Via

Suriano

Boumezgane

et al. 2021

Polymers for Advanced Techs

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Ionic interactions offer the highest non-covalent cohesive strength in supramolecular assemblies. In spite of that, they have been consistently underestimated in the development of self-healing materials due to their lack of directionality and association specificity. In this paper, ionic moieties are introduced as side-chain pendants in poly(urea-urethane) siloxane-based polymers, aiming to obtain a strong yet flexible elastomer with the capability to recover from a damaged state. The synthesis was carried out by a two-step polymerization involving polydimethylsiloxane (PDMS) diamine-terminated, isophorone diisocyanate (IPDI) and a chain extender providing the required ionic functionality. Internal phase separation allowed the material to show its elastomeric behavior. After preparation of the blend by mechanical mixing, the formation of ionic interactions was checked for by FT-IR spectroscopy, rheological analysis and tensile tests. Healing of notch damage was evaluated both with respect to tensile strength and fracture toughness. At room temperature (21 C) and humidity (30% RH) the maximum recovery measured at 14 days was 47%. Selfhealing dependence on humidity and temperature was assessed, resulting in further improvements (up to 100%) as molecular mobility was increased by both conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Dynamic Mechanical Analysis (Dma)mentioning

confidence: 99%

Self‐healing behavior in blends of PDMS‐based polyurethane ionomers

Via

Suriano

Boumezgane

et al. 2021

Polymers for Advanced Techs

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“…After this thermodynamic condition is met, the molten polymer surfaces fuse together via inter-diffusion to seal damaged area, resulting in a rearrangement of the ionic clustered region and long-term relaxation for the healing process. In view of this point, the majority of self-healing processes occur at an elevated temperature (melting temperature) or it needs a low glass transition temperature (

) [ 70 , 71 ]. The construction of an SH system that is based on ionomers involves several bonding interactions, including ion–ion, ion–dipole, and dipole–dipole bonds [ 24 ].…”

Section: Self-healing Mechanismsmentioning

confidence: 99%

Self-Healing Materials for Electronics Applications

Mashkoor

Lee

et al. 2022

IJMS

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Self-healing materials have been attracting the attention of the scientists over the past few decades because of their effectiveness in detecting damage and their autonomic healing response. Self-healing materials are an evolving and intriguing field of study that could lead to a substantial increase in the lifespan of materials, improve the reliability of materials, increase product safety, and lower product replacement costs. Within the past few years, various autonomic and non-autonomic self-healing systems have been developed using various approaches for a variety of applications. The inclusion of appropriate functionalities into these materials by various chemistries has enhanced their repair mechanisms activated by crack formation. This review article summarizes various self-healing techniques that are currently being explored and the associated chemistries that are involved in the preparation of self-healing composite materials. This paper further surveys the electronic applications of self-healing materials in the fields of energy harvesting devices, energy storage devices, and sensors. We expect this article to provide the reader with a far deeper understanding of self-healing materials and their healing mechanisms in various electronics applications.

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“…Increased tensile strength and self-healing relative to unblended poly(tetramethylene ether) glycol (PTMEG) polymers were also seen in networks containing UPy-telehelic poly(tetramethylene ether) glycol (PTMEG) and UPy-telechelic four-arm poly(ε-caprolactone) (PCL-U) polymers due to hydrogen bonding between 2-ureido-4[1 H ]-pyrimidone (UPy) groups . Additionally, end association via favorable ionic (acid–base) interactions between blend polymer chemistries , with carboxylic acid and amine end groups, respectively, was shown to promote tunable viscoelastic , and self-healing properties. High flexibility, reconfigurability, and self-healing were also noted in blends of thermoplastic polyurethane (TPU) and epoxy/glutaric anhydride-based fatty acid vitrimers (FV) due to bond exchange reactions between TPU and FV .…”

Section: Introductionmentioning

confidence: 99%

Phase Behavior and Morphology of Blends Containing Associating Polymers: Insights from Liquid-State Theory and Molecular Simulations

Kulshreshtha

Jayaraman

2022

Macromolecules

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In this work, we study a symmetric blend of two linear polymers containing associating functional groups, which upon association form supramolecular copolymers with linear or nonlinear architectures. We use a coarse-grained (CG) model where each polymer backbone is represented as a chain of isotropically interacting unassociating and associating CG beads, with each CG bead representing a Kuhn segment. We first use polymer reference interaction site model (PRISM) theory to map out the blend phase behavior (i.e., two-phase, disordered/disordered microphase, or microphase-separated morphologies) as a function of association strengths (i.e., pair-wise attraction strength between associating CG beads) and polymer segregation strengths (i.e., effective interactions between unassociating CG beads). PRISM theory provides the liquid-state structure and length scales of concentration fluctuations but does not converge to a numerical solution when the blend undergoes microphase separation at high association strengths. At those higher association strengths where PRISM theory fails to converge, we perform molecular dynamics (MD) simulations to obtain the microphase domain sizes and information about the molecular packing around associating beads. We conduct this combined PRISM theory–MD simulation study for varying placements and compositions of associating beads (i.e., end versus center placement of one associating bead per chain and random versus regular placement of multiple associating beads along chains). We find similar trends in concentration fluctuation length scales and microphase-separated domain sizes in these blends with associating groups interacting via isotropic attraction to those interacting with directional attraction. Our past work focused on the directional attraction between associating groups had established that disordered microphase domain sizes are linked to the dispersity in arm length and branching in the associated copolymer architectures, which are affected by the placement and composition of associating groups along the polymer chains; these results are also seen with isotropic interactions. The one key difference between the directional association and isotropic association is that the former enforces a “monovalent” (one–one) interaction between associating groups, while isotropic association leads to multivalency (multiple beads associating together). This difference in the valency of associating groups does not change the dispersity in arm length in the associated copolymer between directional versus isotropic nature of association; however, isotropic interactions lead to larger dispersity in branching than directional interactions. The larger dispersity in branching leads to morphological differences in particular for the end associating polymer blends that upon association form miktoarm stars with isotropic association and linear diblocks with directional association. Despite these differences in dispersity in branching arising from the nature of association, we find the same trends, namely...

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Viscoelastic properties and self‐healing behavior in a family of supramolecular ionic blends from silicone functional oligomers

Cited by 13 publications

References 43 publications

Self‐healing behavior in blends of PDMS‐based polyurethane ionomers

Self‐healing behavior in blends of PDMS‐based polyurethane ionomers

Self-Healing Materials for Electronics Applications

Phase Behavior and Morphology of Blends Containing Associating Polymers: Insights from Liquid-State Theory and Molecular Simulations

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