Literature DB >> 29509201

Graphene-coated polymer foams as tuneable impact sensors.

Conor S Boland1, Umar Khan, Mathew Binions, Sebastian Barwich, John B Boland, Denis Weaire, Jonathan N Coleman.   

Abstract

The use of graphene-based nanocomposites as electromechanical sensors has been broadly explored in recent times with a number of papers describing porous, foam-like composites. However, there are no reported foam-based materials that are capable of large dynamic compressive load measurements and very few studies on composite impact sensing. In this work, we describe a simple method of infusing commercially-available foams with pristine graphene to form conductive composites, which we refer to as G-foam. Displaying a strain-dependent electrical response, G-foam was found to be a reasonably effective pressure sensing material. More interestingly, G-foam is a sensitive impact-sensing material. Through the addition of various amounts of polymer filler, the mechanical properties of the composites can be tuned leading to the controllable variation of the impact sensing range. We have developed a simple model which quantitatively explains all our impact sensing data.

Entities:  

Year:  2018        PMID: 29509201     DOI: 10.1039/c7nr09247d

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  3 in total

1.  Theoretical Evaluation of Impact Characteristics of Wavy Graphene Sheets with Disclinations Formed by Origami and Kirigami.

Authors:  Yoshitada Tomioka; Toshiaki Natsuki; Jin-Xing Shi; Xiao-Wen Lei
Journal:  Nanomaterials (Basel)       Date:  2022-01-27       Impact factor: 5.076

2.  A reduced graphene oxide-borate compound-loaded melamine sponge/silicone rubber composite with ultra-high dielectric constant.

Authors:  Hong Zhang; Chuan-Guo Ma; Pei-Bang Dai; Jian Zhang
Journal:  RSC Adv       Date:  2019-05-08       Impact factor: 4.036

3.  Nanosheet-Stabilized Emulsions: Near-Minimum Loading and Surface Energy Design of Conductive Networks.

Authors:  Sean P Ogilvie; Matthew J Large; Marcus A O'Mara; Anne C Sehnal; Aline Amorim Graf; Peter J Lynch; Adam J Cass; Jonathan P Salvage; Marco Alfonso; Philippe Poulin; Alice A K King; Alan B Dalton
Journal:  ACS Nano       Date:  2022-02-02       Impact factor: 15.881

  3 in total

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