2010
DOI: 10.1016/j.carbon.2009.12.058
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Electroactive shape memory performance of polyurethane composite having homogeneously dispersed and covalently crosslinked carbon nanotubes

Abstract: The electroactive shape memory of carbon nanotube-filled polyurethane composites,

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Cited by 124 publications
(79 citation statements)
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“…31 The covalent modification of the CNT surface frequently contributes to the optimization of these variables. 32 The range of compositions studied in this work includes the most frequently evaluated concentrations: 0.25, 0.5, and 1.0 wt % of carbon nanotubes. [4][5][6] The mechanical behavior observed for both nanocomposites, with MWCNT and MWCNT-ox, was consistent with the results observed in Figure 3 for the MWCNT-ox based system.…”
Section: Nanocomposite Characterizationmentioning
confidence: 99%
“…31 The covalent modification of the CNT surface frequently contributes to the optimization of these variables. 32 The range of compositions studied in this work includes the most frequently evaluated concentrations: 0.25, 0.5, and 1.0 wt % of carbon nanotubes. [4][5][6] The mechanical behavior observed for both nanocomposites, with MWCNT and MWCNT-ox, was consistent with the results observed in Figure 3 for the MWCNT-ox based system.…”
Section: Nanocomposite Characterizationmentioning
confidence: 99%
“…Chemically-modified TRG can be incorporated into the polymer by covalent bonding [18], which generally makes fine dispersion of TRG in polymer matrix and augments the electrical conductive of the composite [21]. On the other hand, little has been evolved from the literature survey for the use of graphene as electroactive shape memory materials [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…When an electrical current passes through the conductive fillers/polymer composites, Joule heating is induced by the fillers that can facilitate the transformation of the polymer shapes. In this case, low glass transition temperature (T g ) polymers such as bio-based polyesters [19], polyurethane [20], polyurethane/poly(lactic acid) blends [12], poly( -caprolactone) [10], and epoxies [21], are usually chosen as the matrices and good performances of the shape memory polymer composites can be obtained because of the low T g threshold. For example, Tang et al incorporated 11.6 vol.% carbon nanofibers into a bio-based polyester and the shape recovery ratio (R r ) reached 97% in 90 s under a 20 V driver [19].…”
Section: Introductionmentioning
confidence: 99%