Novel Composite Planks Made of Shape Memory Polyurethane Foaming Material with Two-Step Foaming Process

Lin, Jan‐Yi; Lin, Mei‐Chen; Shiu, Bing‐Chiuan; Lou, Ching‐Wen; Lin, Jia‐Horng; Chen, Yueh-Sheng

doi:10.3390/polym14020275

Cited by 5 publications

(5 citation statements)

References 39 publications

(37 reference statements)

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“…In a work, nanoclay filled PLA/PU nanoarchitectures yarn was constructed with high twist. [81] The twisted yarn then underwent shaping to a coiled architecture via mandrel Figure 15. Shape memory responsivity of TPU@CB@CNC nanoarchitectures.…”

Section: Nanoclay Shape Memory Polymeric Nanoarchitecturesmentioning

confidence: 99%

Construction, characterization, properties and multifunctional applications of stimuli-responsive shape memory polymeric nanoarchitectures: a review

Idumah

Odera

Ezeani

et al. 2023

Polymer-Plastics Technology and Materials

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Due to the advent of nanotechnology, deficiencies and limitations inherent in stimuli-responsive shape memory polymeric matrices (SMP), have been effectively mitigated, through the inclusion of a versatile range of organic or inorganic nanoparticulates within the confines of SMP matrice/s. This phenomenon has resulted in the emergence of shape-memory polymeric nanoarchitectures (SMPNs) possessing enhanced and outstanding properties, when compared with the pristine SMP, and this has subsequently enlarged their scope of applications (civil engineering, biomedical gadgets, aerospace, bionics engineering, energy, electronic engineering, household products, and textile engineering). Furthermore, SMPNs enhances athermal stimuli-activities including electroactivity, magneto-activity, water-activity, and photo-activity, as well as shape memory effect (SME) including multiple-shape memory effect (MSME), spatial shape memory effect (SSME), as well as dual-route shape memory effect (DRSME). This elucidation is essential and imperative at this time to enlighten the polymeric universe on new advancements in fabrication, features and applications of stimuli responsive SMPNs. Therefore, this paper, presents, very recently emerging advancements, in construction, characterization, properties and multifunctional applications of stimuli-responsive SMPNs with special emphasis on carbon nanotubes (CNT), carbon nanofibers (CNF), cellulose nanocrystals, and nanoclay reinforced SMPNs.

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Section: Nanoclay Shape Memory Polymeric Nanoarchitecturesmentioning

confidence: 99%

Construction, characterization, properties and multifunctional applications of stimuli-responsive shape memory polymeric nanoarchitectures: a review

Idumah

Odera

Ezeani

et al. 2023

Polymer-Plastics Technology and Materials

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“…The amorphous region supports the stabilisation and retention of the original shape, and then the deformation of this region induces shape recovery. In contrast, the crystalline region is responsible for obstructing shape recovery until a critical condition is met [23,41,56,57].…”

Section: Polymermentioning

confidence: 99%

Recent Developments in Shape Memory Elastomers for Biotechnology Applications

et al. 2022

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Shape memory elastomers have revolutionised the world since their introduction in the 20th century. The ability to tailor chemical structures to produce a family of materials in wide-ranging forms with versatile properties has propelled them to be ubiquitous. Recent challenges in the end-of-life management of polymeric materials should prompt us to ask, ‘what innovations in polymeric materials can make a strong case for their use as efficient materials?’ The development of smart elastomers that can acquire, convey, or process a stimulus (such as temperature, pressure, electromagnetic field, moisture, and chemical signals) and reply by creating a useful effect, specifically a reversible change in shape, is one such innovation. Here, we present a brief overview of shape memory elastomers (SMEs) and thereafter a review of recent advances in their development. We discuss the complex processing of structure-property relations and how they differ for a range of stimuli-responsive SMEs, self-healing SMEs, thermoplastic SMEs, and antibacterial and antifouling SMEs. Following innovations in SEMs, the SMEs are forecast to have significant potential in biotechnology based on their tailorable physical properties that are suited to a range of different external stimuli.

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“…Among these, the addition of inorganic conductive fillers is the most frequently employed approach. Commonly utilized inorganic conductive fillers mainly include carbon fillers [carbon black (CB), − carbon nanotubes (CNT), − graphene, − carbon fibers, − ] and metal fillers. − CB stands out as the most widely used inorganic conductive filler for improving the conductivity of reticulated PUFs due to the easy availability of raw materials, low price, and the stability of conductivity and long-lasting performance. However, the construction of conductive networks requires a high concentration of conductive fillers, which corresponds to a high percolation threshold .…”

Section: Introductionmentioning

confidence: 99%

Preparation and Study of Low Percolation Threshold Antistatic Reticulated Polyurethane Foam

Yang,

Liang,

Wang

et al. 2024

ACS Appl. Polym. Mater.

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Reticulated polyurethane foam (PUF), a widely utilized polymer-based insulator, is notoriously susceptible to electrostatic issues, posing significant challenges in various applications. Carbon black (CB) as a conductive filler in PUF is easily agglomerated and is difficult to disperse. This can result in the high addition of CB and affects the performance of the PUF. In this work, antistatic reticulated PUFs (PUF-CB) with a low percolation threshold (0.84 wt %) were prepared using conductive CB as an antistatic agent. Creative work has been carried out to disperse CB particles using a ball milling process and the dispersant diisononyl phthalate, which has reduced the agglomeration and greatly improved the dispersion of CB particles. The volume resistivity test results showed that PUF-CB had the lowest volume resistivity of 3.59 × 10 5 Ω•m when the addition of CB was 1.40 wt %. The distribution of CB in polyether polyols and foams was analyzed using optical microscopy and SEM. The distribution of CB particle size was counted using nanoparticle size and a Zeta potential analyzer. The CB dispersion mechanism was innovatively proposed to explain the successful preparation of low percolation threshold PUFs.

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Novel Composite Planks Made of Shape Memory Polyurethane Foaming Material with Two-Step Foaming Process

Cited by 5 publications

References 39 publications

Construction, characterization, properties and multifunctional applications of stimuli-responsive shape memory polymeric nanoarchitectures: a review

Construction, characterization, properties and multifunctional applications of stimuli-responsive shape memory polymeric nanoarchitectures: a review

Recent Developments in Shape Memory Elastomers for Biotechnology Applications

Preparation and Study of Low Percolation Threshold Antistatic Reticulated Polyurethane Foam

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