Melt rheological behavior of PMMA nanocomposites reinforced with modified nanoclay

Kumar, Vijai; Priya, N. Shanmuga; Kanagaraj, S.; Pugazhenthi, G.

doi:10.1080/20550324.2016.1221876

Cited by 16 publications

(3 citation statements)

References 43 publications

(37 reference statements)

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“…As per the fundamental theories for a purely elastic material δ = 0°, while a purely viscous material has δ =90° 61 . Viscoelastic materials will have a δ value between 0 and 90°, with 45° or tanδ = 1 representing the boundary between solid‐like and liquid‐like behavior as presented in Figure 11.…”

Section: Resultsmentioning

confidence: 90%

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Tuning of shear thickening behavior and elastic strength of polyvinylidene fluoride via doping of ZnO‐graphene

Goswami

Singh

Chamoli

et al. 2021

J of Applied Polymer Sci

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ZnO rice like nonarchitects are grafted on the graphene carbon core via a rapid microwave synthesis route. The prepared grafted systems are characterized via XRD, SEM, RAMAN, and XPS to examined the structural and morphological parameters. Zinc oxide grafted graphene sheets (ZnO‐G) are further doped in β‐phase of polyvinylidene fluoride (PVDF) to prepare the polymer nanocomposites (PNCs) via mixed solvent approach (THF/DMF). β‐phase confirmation of PVDF PNCs is done by FTIR studies. It is observed that ZnO‐G filler enhances the β‐phase content in the PNCs. Non‐doped PVDF and PNCs are further studied for rheological behavior under the shear rate of 1–100 s−1. Doping of ZnO‐G dopant to the PVDF matrix changes its discontinuous shear thickening (DST) behavior to continues shear thickening behavior (CST). Hydrocluster formation and their interaction with the dopant could be the reason for this striking DST to CST behavioral change. Strain amplitude sweep (10−3% ‐10%) oscillatory test reveals that the PNCs shows extended linear viscoelastic region with high elastic modulus and lower viscous modulus. Effective shear thickening behavior and strong elastic strength of these PNCs present their candidature for various fields including mechanical and soft body armor applications.

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Section: Resultsmentioning

confidence: 90%

“…At frequency 41.24 Hz, ZnO‐G/PVDF 2 transit back to the viscous region and then ultimately back to the elastic region. The reverse transition behavior may attribute to the theory of CST/DST in all samples 61 …”

Section: Resultsmentioning

confidence: 91%

Tuning of shear thickening behavior and elastic strength of polyvinylidene fluoride via doping of ZnO‐graphene

Goswami

Singh

Chamoli

et al. 2021

J of Applied Polymer Sci

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“…This is particularly relevant because dry EEG electrodes generally must be slightly compressed in order to maintain contact with the scalp, yet may be susceptible to some degree of flexion during active movements. Adding filler to a polymer is well-known to impact the material processability as well as its final mechanical properties [ 21 ] resulting in a stiffer and potentially less comfortable material. There is thus a trade between mechanical properties and electrical properties that must be carefully considered in the material design and selection.…”

Section: Introductionmentioning

confidence: 99%

Carbon nanofiber-filled conductive silicone elastomers as soft, dry bioelectronic interfaces

et al. 2018

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Soft and pliable conductive polymer composites hold promise for application as bioelectronic interfaces such as for electroencephalography (EEG). In clinical, laboratory, and real-world EEG there is a desire for dry, soft, and comfortable interfaces to the scalp that are capable of relaying the μV-level scalp potentials to signal processing electronics. A key challenge is that most material approaches are sensitive to deformation-induced shifts in electrical impedance associated with decreased signal-to-noise ratio. This is a particular concern in real-world environments where human motion is present. The entire set of brain information outside of tightly controlled laboratory or clinical settings are currently unobtainable due to this challenge. Here we explore the performance of an elastomeric material solution purposefully designed for dry, soft, comfortable scalp contact electrodes for EEG that is specifically targeted to have flat electrical impedance response to deformation to enable utilization in real world environments. A conductive carbon nanofiber filled polydimethylsiloxane (CNF-PDMS) elastomer was evaluated at three fill ratios (3, 4 and 7 volume percent). Electromechanical testing data is presented showing the influence of large compressive deformations on electrical impedance as well as the impact of filler loading on the elastomer stiffness. To evaluate usability for EEG, pre-recorded human EEG signals were replayed through the contact electrodes subjected to quasi-static compressive strains between zero and 35%. These tests show that conductive filler ratios well above the electrical percolation threshold are desirable in order to maximize signal-to-noise ratio and signal correlation with an ideal baseline. Increasing fill ratios yield increasingly flat electrical impedance response to large applied compressive deformations with a trade in increased material stiffness, and with nominal electrical impedance tunable over greater than 4 orders of magnitude. EEG performance was independent of filler loading above 4 vol % CNF (< 103 ohms).

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Emerging Carbon‐Based Nanocomposites for Remediation of Heavy Metals and Organic Pollutants from Wastewater

Kar

Jain

Gupta

et al. 2020

Emerging Carbon‐Based Nanocomposites for Environmental Applications

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Melt rheological behavior of PMMA nanocomposites reinforced with modified nanoclay

Cited by 16 publications

References 43 publications

Tuning of shear thickening behavior and elastic strength of polyvinylidene fluoride via doping of ZnO‐graphene

Tuning of shear thickening behavior and elastic strength of polyvinylidene fluoride via doping of ZnO‐graphene

Carbon nanofiber-filled conductive silicone elastomers as soft, dry bioelectronic interfaces

Emerging Carbon‐Based Nanocomposites for Remediation of Heavy Metals and Organic Pollutants from Wastewater

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