Literature DB >> 34372015

The Influence of Local Strain Distribution on the Effective Electrical Resistance of Carbon Black Filled Natural Rubber.

E Harea1, S Datta1, M Stěnička1, J Maloch1, R Stoček1.   

Abstract

A monotonous relation between strain and measured electric resistance is highly appreciated in stretchable elastomer sensors. In real-life application the voids or technological holes of strained samples often induce non-homogeneous local strain. The present article focused on studying the effect of non-homogeneous local strain on measured direct current (DC) effective electric resistance (EER) on samples of natural rubber (NR), reinforced with 50, 60 and 70 phr of carbon black (CB). Samples were imparted geometrical inhomogeneities to obtain varied local strains. The resulting strain distribution was analyzed using Digital Image Correlation (DIC). EER exhibited a well-detectable influence of locations of inhomogeneities. Expectedly, the EER globally decreased with an increase in CB loading, but showed a steady increase as a function of strain for 50 and 60 phr over the complete testing protocol. Interestingly, for 70 phr of CB, under the same testing conditions, an alternating trend in EER was encountered. This newly observed behavior was explained through a novel hypothesis-"current propagation mode switching phenomenon". Finally, experimentally measured EERs were compared with the calculated ones, obtained by summing the global current flow through a diversity of strain dependent resistive domains.

Entities:  

Keywords:  conductive filler; digital image correlation; effective electrical resistance; elastomer sensors; local strain; natural rubber

Year:  2021        PMID: 34372015     DOI: 10.3390/polym13152411

Source DB:  PubMed          Journal:  Polymers (Basel)        ISSN: 2073-4360            Impact factor:   4.329


  1 in total

1.  Impact of 3D Printing Technique and TPE Material on the Endurance of Pneumatic Linear Peristaltic Actuators.

Authors:  Miranda Fateri; João Falcão Carneiro; Constantin Schuler; João Bravo Pinto; Fernando Gomes de Almeida; Udo Grabmeier; Tobias Walcher; Michael Salinas
Journal:  Micromachines (Basel)       Date:  2022-02-28       Impact factor: 2.891

  1 in total

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