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 (4/4 displayed)

  • 2023Remnant Magnetisation State Control for Positioning of a Hybrid Tunable Magnet Actuatorcitations
  • 2020Comparison of dynamic characteristics of active sensing methods of Ionic Polymer Metal Composite (IPMC)citations
  • 2019Sensing and self-sensing actuation methods for Ionic Polymer–Metal Composite (IPMC)58citations
  • 2018IPMC Kirigami5citations

Places of action

Chart of shared publication
Ronaes, E. P.
1 / 1 shared
Hunt, Andres
4 / 5 shared
Esfahani, Peyman Mohajerin
1 / 1 shared
Freriks, Mirte
1 / 2 shared
Sasso, Luigi
1 / 9 shared
Chart of publication period
2023
2020
2019
2018

Co-Authors (by relevance)

  • Ronaes, E. P.
  • Hunt, Andres
  • Esfahani, Peyman Mohajerin
  • Freriks, Mirte
  • Sasso, Luigi
OrganizationsLocationPeople

document

Sensing and self-sensing actuation methods for Ionic Polymer–Metal Composite (IPMC)

  • Hosseinnia, S. Hassan
  • Hunt, Andres
Abstract

Ionic polymer–metal composites (IPMC) are smart material transducers that bend in response to low-voltage stimuli and generate voltage in response to bending. IPMCs are mechanically compliant, simple in construction, and easy to cut into desired shape. This allows the designing of novel sensing and actuation systems, e.g., for soft and bio-inspired robotics. IPMC sensing can be implemented in multiple ways, resulting in significantly different sensing characteristics. This paper will review the methods and research efforts to use IPMCs as deformation sensors. We will address efforts to model the IPMC sensing phenomenon, and implementation and characteristics of different IPMC sensing methods. Proposed sensing methods are divided into active sensing, passive sensing, and self-sensing actuation (SSA), whereas the active sensing methods measure one of IPMC-generated voltage, charge, or current; passive methods measure variations in IPMC impedances, or use it in capacitive sensor element circuit, and SSA methods implement simultaneous sensing and actuation on the same IPMC sample. Frequency ranges for reliable sensing vary among the methods, and no single method has been demonstrated to be effective for sensing in the full spectrum of IPMC actuation capabilities, i.e., from DC to ∼100 Hz. However, this limitation can be overcome by combining several sensing methods.

Topics
  • polymer
  • composite