A fluorescent crack sensor based on cyclobutane-containing crosslinked polymers of tricinnamates

Cho, Sung-Youl; Kim, Joong‐Gon; Chung, Chan‐Moon

doi:10.1016/j.snb.2008.06.042

Cited by 98 publications

(84 citation statements)

References 24 publications

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“…The corresponding monomeric structures, such as cinnamate (Fig. 5a) [68] and anthracene (Figs 5b and c) [69], that emit strong fluorescence, can be regenerated along propagating cracks of the polymer films. The exact position of cracks therefore could be easily detected.…”

Section: Mechanoluminescent Polymers With Covalent Mechanophoresmentioning

confidence: 99%

Recent advances in mechanoluminescent polymers

Yuan

Chen

2016

Sci. China Mater.

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In recent years, mechanoluminescence from polymers is emerging as a new cutting-edge area of polymer mechanochemistry research. It refers to the release of energy from polymers in the form of light when they are under various mechanical stimuli. To spur more researchers to join in such interesting and new burgeoning area, and promote its development to practical applications, in this review, we try to briefly summarize the recent advances in mechanoluminescent polymers with the aspects of non-covalent, covalent, and cascade reactions systems. We pay much attention on the applications of such polymer systems in molecular level failure and stress sensors, and give a perspective of their potential applications in novel energy conversion materials and devices, as well as self-healing materials.

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Section: Mechanoluminescent Polymers With Covalent Mechanophoresmentioning

confidence: 99%

Recent advances in mechanoluminescent polymers

Yuan

Chen

2016

Sci. China Mater.

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“…A function describing the relation between average strain ̅ in the network model and fluorescence intensity density I from experimental observation can be derived by combining Eqs. (4) and (5): 169.09 ̅ +123.17 (6) Thus, the average equivalent strain from the network model based simulation can be used to describe the observed fluorescence intensity of the TCE-embedded polymer.…”

Section: Damage Estimation Using Statistical Network Model a Evalmentioning

confidence: 99%

“…[4,5] Therefore, itprovides a novel means for designing smart materials with self-sensing capability. Cho et al [6,7] have developed a cyclobutane-based mechanophore comprised of carbon-carbon covalent bonds that transform into cinnamate groups and emit visible fluorescence under external loading. Zou et al [8] have developed a novel self-sensing technique in which Tris-(Cinnamoyl oxymethyl)-Ethane (TCE) is embedded as the cyclobutane-based mechanophore material within a polymer matrix.…”

Section: Introductionmentioning

confidence: 99%

A novel statistical spring-bead based network model for self-sensing smart polymer materials

Zhang

Koo

Liu

et al. 2015

Smart Mater. Struct.

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This paper presents a multiscale modeling approach to simulate the self-sensing behavior of a load sensitive smart polymer material. A statistical spring-bead based network model is developed to bridge the molecular dynamics simulations at the nanoscale and the finite element model at the macroscale. Parametric studies are conducted on the developed network model to investigate the effects of the thermoset crosslinking degree on mechanical response of the self-sensing material. The comparison between experimental and simulation results shows that the multiscale framework is able to capture the global mechanical response with adequate accuracy and the network model is also capable of simulating the self-sensing phenomenon of the smart polymer. Finally, the molecular dynamics simulation and network model based simulation are implemented to evaluate damage initiation in the self-sensing material under monotonic loading. Nomenclature I= fluorescence intensity density = original length of the ith spring = variation of the spring length N = number of springs in this subzone = number of actual potential crosslinked covalent bonds = number of all potential crosslinked covalent bonds = loading strain = equivalent strain in the ith spring ̅ = average equivalent strain in the bead-centered subzone = crosslinking degree Keywords: spring-bead model, network model, statistical distribution of crosslinking degree, self-sensing smart material

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“…14). 191 After 10 min of reirradiation with UV light, the cinnamoyl groups were able to recyclise to recover as high as y25% of the virgin film's flexural strength. 192 This relatively low quality of healing may limit cinnamate based polymers to film or coating applications, for which mechanical integrity is not always a primary concern.…”

Section: Uv Initiated Self-healingmentioning

confidence: 99%

Self-healing polymers and composites

Mauldin¹,

Kessler²

2010

International Materials Reviews

235

136

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Inspired by the unique and efficient wound healing processes in biological systems, several approaches to develop synthetic polymers that can repair themselves with complete, or nearly complete, autonomy have recently been developed. This review aims to survey the rapidly expanding field of self-healing polymers by reviewing the major successful autonomic repairing mechanisms developed over the last decade. Additionally, we discuss several issues related to transferring these self-healing technologies from the laboratory to real applications, such as virgin polymer property changes as a result of the added healing functionality, healing in thin films v. bulk polymers, and healing in the presence of structural reinforcements.

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A fluorescent crack sensor based on cyclobutane-containing crosslinked polymers of tricinnamates

Cited by 98 publications

References 24 publications

Recent advances in mechanoluminescent polymers

Recent advances in mechanoluminescent polymers

A novel statistical spring-bead based network model for self-sensing smart polymer materials

Self-healing polymers and composites

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