Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Non-monotonic sensor behavior of carbon particle-filled textile strain sensors3citations

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Cherif, Chokri
1 / 112 shared
Gerlach, G.
1 / 19 shared
Nocke, Andreas
1 / 34 shared
Mersch, Johannes
1 / 9 shared
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2021

Co-Authors (by relevance)

  • Cherif, Chokri
  • Gerlach, G.
  • Nocke, Andreas
  • Mersch, Johannes
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article

Non-monotonic sensor behavior of carbon particle-filled textile strain sensors

  • Cherif, Chokri
  • Probst, H.
  • Gerlach, G.
  • Nocke, Andreas
  • Mersch, Johannes
Abstract

<p>Carbon particle-filled elastomers are a widely researched option to be used as piezoresistive strain sensors for soft robotics or human motion monitoring. Therefore, various polymers can be compounded with carbon black (CB), carbon nanotubes (CNT) or graphene. However, in many studies, the electrical resistance strain response of the carbon particle-filled elastomers is non-monotonic in dynamic evaluation scenarios. The non-monotonic material behavior is also called shoulder phenomenon or secondary peak. Until today, the underlying cause is not sufficiently well understood. In this study, several influencing test parameters on the shoulder phenomena are explored, such as strain level, strain rate and strain history. Moreover, material parameters such as CNT content and anisotropy are varied in melt-spun CNT filled thermoplastic polyurethane (TPU) filament yarns, and their non-monotonic sensor response is evaluated. Additionally, a theoretical concept for the underlying mechanism and thereupon-based model is presented. An equivalent circuit model is used, which incorporates the visco-elastic properties and the characteristic of the percolation network formed by the conductive filler material. The simulation results are in good agreement when compared to the experimental results.</p>

Topics
  • impedance spectroscopy
  • Carbon
  • nanotube
  • simulation
  • melt
  • thermoplastic
  • elastomer