Graphene-based composite for dielectric elastomer actuator: A comprehensive review

Panahi‐Sarmad, Mahyar; Zahiri, Beniamin; Noroozi, Mina

doi:10.1016/j.sna.2019.05.003

Cited by 75 publications

(43 citation statements)

References 133 publications

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“…In comparison to carbon nanotube (CNT), graphene also has exhibited lower percolation threshold, which is defined as a specific filler amount that leads to the vast improvement in electrical and thermal properties, owing to the unique structure and features. [ 13,18,19 ] Thus, the desirable properties can be obtained and controlled with the addition of graphene as a filler to the PU matrix.…”

Section: Resultsmentioning

confidence: 99%

“…This phenomenon occurs typically due to the development of free electrons that form with the presence of GO in the PU composites. [ 13 ] Therefore, the transmission of electrical and thermal energies in the filled composites can be more feasibly accomplished than that of the neat PU. Attaining the thermal conductivity of 0.64 W/m K for PU/GO‐2.0 composite compared to the value of 0.22 W/m K in the neat PU is vivid evidence of the theory mentioned above.…”

Section: Resultsmentioning

confidence: 99%

“…This abrupt augmentation of thermal conductivity is definitely unambiguous evidence of the percolation threshold, which was situated in the range of 0.5-1.0 wt% of filler loading. [13,27] 3.4 | Mechanical behavior…”

Section: Thermal Properties Of the Synthesized Nanocompositesmentioning

confidence: 99%

“…The convincing mechanical properties could be observed; besides, the shape memory behavior was thoroughly investigated. Similarly, castor oil as a polyol was applied for the polymerization of PU with high‐shape fixity and recovery ratios by Saralegi et al [ 12 ] According to the low‐intrinsic conduction and mechanical characteristics of polymers, [ 13 ] a conductive filler, graphene oxide (GO), was commonly employed and Thakur and Karak studied the results in the case of oil‐based PU. [ 14 ] The mechanical and shape memory characteristics of castor oil‐based PU nanocomposites were reported in the presence of three different filler loadings.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis and design of polyurethane and its nanocomposites derived from canola‐castor oil: Mechanical, thermal and shape memory properties

Dehghan

Noroozi

Sadeghi

et al. 2020

Journal of Polymer Science

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The recent global pandemic and its tremendous effect on the price fluctuations of crude oil illustrates the side effects of petroleum dependency more evident than ever. Over the past decades, both academic and industrial communities spared endless efforts in order to replace petroleum-based materials with bioderived resources. In the current study, a series of shape memory polymer composites (SMPC's) was synthesized from epoxidized vegetable oils, namely canola oil and castor oil fatty acids (COFA's) as a 100% bio-based polyol and isophorone diisocyanate (IPDI) as an isocyanate using a solvent/catalyst-free method in order to eventuate polyurethanes (PU's). Thereafter, graphene oxide (GO) nanoplatelets were synthesized and embedded in the neat PU in order to overcome the thermomechanical drawbacks of the neat matrix. The chemical structure of the synthesized components, as well as the dispersion and distribution levels of the nanoparticles, was characterized. In the following, thermal and mechanical properties as well as shape memory behavior of the specimens were comprehensively investigated. Likewise, the thermal conductivity was determined. This study proves that synthesized PU's based on vegetable oil polyols, including graphene nanoparticles, exhibit proper thermal and mechanical properties, which make them stand as a potential candidate to compete with traditional petroleum-based SMPC's.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Thermal Properties Of the Synthesized Nanocompositesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Synthesis and design of polyurethane and its nanocomposites derived from canola‐castor oil: Mechanical, thermal and shape memory properties

Dehghan

Noroozi

Sadeghi

et al. 2020

Journal of Polymer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…As a result, the addition of CNT manipulated the way of electron movement. 45 This movement path of the electron has altered by adding the Cs into PVA/CNT. It is worth noting that the electrical conductivity for PVA/Cs/CNT has extraordinarily increased up to 9.93 mS cm -1 by varying length of the conductive path, which implies CNT particles localized between Cs and PVA phase.…”

Section: Electrical Conductivity and Electroactivity Of Hydrogelsmentioning

confidence: 99%

Polyvinyl alcohol/chitosan/carbon nanotubes electroactive shape memory nanocomposite hydrogels

Pirahmadi

Kokabi

Alamdarnejad

2020

J of Applied Polymer Sci

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Shape memory nanocomposite hydrogels are intelligent soft materials in which, the nanoparticles can impart desirable mechanical properties to the polymeric matrix. The main challenge is the capability to program from permanent to temporary shapes and vice versa under the direct and indirect thermal stimuli. In this work, carbon nanotubes (CNT) with a high modulus of 1 TPa, was used to mechanically reinforce polyvinyl alcohol (PVA) and polyvinyl alcohol/chitosan (PVA/Cs) hydrogel networks. Adding appropriate amount of conductor component enables the system to be electrically activated, which leads to achieving the original permanent shape without applying mechanical external force. The PVA/Cs/CNT hydrogel containing 0.25 wt% of CNT, showed electrical conductivity greater than 9 mS cm −1. Because of the presence of CNT, the shape memory behavior of PVA and PVA/Cs hydrogels was improved by 170 and 260%, respectively. The electroactive shape memory nanocomposite hydrogels exhibited complete recovery under indirect stimulation by generating Joule heating in the system.

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Progresses in Tensile, Torsional, and Multifunctional Soft Actuators

Zou

et al. 2021

Adv Funct Materials

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Soft actuators have received intensive attention in the fields of soft robots, sensors, intelligent control, artificial intelligence, and visual intelligence. By combination of tensile and torsional deformations, different types of motions can be realized, such as bending, rolling, and jumping. Soft robotics need soft actuators, such as artificial muscles to lift or move objects to perform some work. Additionally, actuation integrated with functions of sensing, signal transmission, and control is also needed in the development of advanced intelligent systems, which further stimulates the requirement of multifunctional actuators. Here different types of soft actuators that can perform tensile and torsional actuations are summarized, including twisted fiber artificial muscles, shape memory polymers, hydrogels, liquid crystal polymers, electrochemical actuators with conducting polymers, and some natural materials. Examples are also included regarding the bending or rolling deformations of the actuators for lifting objects. Then, recent interesting reports about multifunctional soft actuators combined with sensing and signal transmission performances, are summarized. Last, a summary of different ways to realize tensile and torsional actuations, different materials, and designs for lifting or moving objects, as well as construction of multifunctional actuators with actuation and sensing functions is provided.

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Graphene-based composite for dielectric elastomer actuator: A comprehensive review

Cited by 75 publications

References 133 publications

Synthesis and design of polyurethane and its nanocomposites derived from canola‐castor oil: Mechanical, thermal and shape memory properties

Synthesis and design of polyurethane and its nanocomposites derived from canola‐castor oil: Mechanical, thermal and shape memory properties

Polyvinyl alcohol/chitosan/carbon nanotubes electroactive shape memory nanocomposite hydrogels

Progresses in Tensile, Torsional, and Multifunctional Soft Actuators

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