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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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (16/16 displayed)

  • 2022Piezoresistive 3D graphene-PDMS spongy pressure sensors for IoT enabled wearables and smart products29citations
  • 20213D Printed Graphene-Coated Flexible Lattice as Piezoresistive Pressure Sensor15citations
  • 2021Optimizing harbor seal whisker morphology for developing 3D-printed flow sensor10citations
  • 2021Optimizing harbor seal whisker morphology for developing 3D-printed flow sensor10citations
  • 2021Biomimetic Soft Polymer Microstructures and Piezoresistive Graphene MEMS Sensors using Sacrificial Metal 3D Printing48citations
  • 2021Fabrication of polymeric microstructurescitations
  • 2021Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding36citations
  • 2021Bioinspired PDMS-graphene cantilever flow sensors using 3D printing and replica moulding36citations
  • 2020PDMS Flow Sensors With Graphene Piezoresistors Using 3D Printing and Soft Lithography5citations
  • 2019Bioinspired Cilia Sensors with Graphene Sensing Elements Fabricated Using 3D Printing and Casting64citations
  • 2019Fish-inspired flow sensing for biomedical applicationscitations
  • 2019Laser-Sustained Plasma (LSP) Nitriding of Titanium: A Review49citations
  • 2019Laser-sustained plasma (LSP) nitriding of titanium:A review49citations
  • 2017A two-step laser-sustained plasma nitriding process for deep-case hardening of commercially pure titanium23citations
  • 2017Enhancement of CP-titanum wear resistance using a two-step CO2 laser-sustained plasma nitriding process20citations
  • 2016Effect of CO 2 Laser-Sustained Nitrogen Plasma on Heat and Mass Transfer During Laser-Nitriding of Commercially-Pure Titanium8citations

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Chart of shared publication
Sengupta, Debarun
1 / 4 shared
Kottapalli, Ajay Giri Prakash
11 / 21 shared
Jayawardhana, Bayu
5 / 10 shared
Smit, Quinten
1 / 1 shared
Zheng, Xingwen
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Harish, Vinayak Sagar
2 / 2 shared
Cao, Ming
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Pei, Yutao T.
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Todd, Judith A.
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Copley, Stephen M.
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Segall, Albert E.
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Co-Authors (by relevance)

  • Sengupta, Debarun
  • Kottapalli, Ajay Giri Prakash
  • Jayawardhana, Bayu
  • Smit, Quinten
  • Zheng, Xingwen
  • Harish, Vinayak Sagar
  • Cao, Ming
  • Pei, Yutao T.
  • Todd, Judith A.
  • Copley, Stephen M.
  • Segall, Albert E.
OrganizationsLocationPeople

article

Bioinspired Cilia Sensors with Graphene Sensing Elements Fabricated Using 3D Printing and Casting

  • Kottapalli, Ajay Giri Prakash
  • Pei, Yutao T.
  • Kamat, Amar M.
Abstract

Sensor designs found in nature are optimal due to their evolution over millions of years, making them well-suited for sensing applications. However, replicating these complex, three-dimensional (3D), biomimetic designs in artificial and flexible sensors using conventional techniques such as lithography is challenging. In this paper, we introduce a new processing paradigm for the simplified fabrication of flexible sensors featuring complex and bioinspired structures. The proposed fabrication workflow entailed 3D-printing a metallic mold with complex and intricate 3D features such as a micropillar and a microchannel, casting polydimethylsiloxane (PDMS) inside the mold to obtain the desired structure, and drop-casting piezoresistive graphene nanoplatelets into the predesigned microchannel to form a flexible strain gauge. The graphene-on-PDMS strain gauge showed a high gauge factor of 37 as measured via cyclical tension-compression tests. The processing workflow was used to fabricate a flow sensor inspired by hair-like ‘cilia’ sensors found in nature, which comprised a cilia-inspired pillar and a cantilever with a microchannel that housed the graphene strain gauge. The sensor showed good sensitivity against both tactile and water flow stimuli, with detection thresholds as low as 12 µm in the former and 58 mm/s in the latter, demonstrating the feasibility of our method in developing flexible flow sensors.

Topics
  • impedance spectroscopy
  • compression test
  • casting
  • lithography