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Updated: Jan 22, 2026

Hybrid Printing for the Fabrication of Smart Sensors
Published on: January 31, 2019
Bioinspired Cilia Sensors with Graphene Sensing Elements Fabricated Using 3D Printing and Casting
Amar M Kamat1, Yutao Pei2, Ajay G P Kottapalli1,3
1Advanced Production Engineering Group, Engineering and Technology Institute Groningen, Faculty of Science and Engineering, University of Groningen, Nijenborgh 4, 9747AG Groningen, The Netherlands.
Researchers developed a novel 3D printing method to create flexible, bioinspired sensors. This technique simplifies the fabrication of complex structures, enabling sensitive detection of tactile and flow stimuli using graphene nanoplatelets.
Area of Science:
- Materials Science
- Biomimetics
- Sensor Technology
Background:
- Nature-inspired sensor designs offer optimal performance due to evolutionary refinement.
- Conventional fabrication methods struggle to replicate complex 3D biomimetic sensor structures.
Purpose of the Study:
- To introduce a simplified fabrication workflow for flexible sensors with intricate, bioinspired designs.
- To demonstrate the feasibility of creating high-performance flexible sensors using a novel processing paradigm.
Main Methods:
- Fabrication involved 3D printing a metallic mold with microfeatures.
- Polydimethylsiloxane (PDMS) was cast in the mold, followed by drop-casting piezoresistive graphene nanoplatelets.
- A flow sensor inspired by natural cilia was constructed using this method.
Main Results:
- A graphene-on-PDMS strain gauge achieved a high gauge factor of 37.
- The fabricated cilia-inspired flow sensor demonstrated sensitivity to tactile stimuli (detection threshold 12 µm).
- The sensor also showed sensitivity to water flow stimuli (detection threshold 58 mm/s).
Conclusions:
- The proposed 3D printing and casting workflow enables simplified fabrication of complex, flexible, bioinspired sensors.
- This method is effective for developing sensitive flow sensors with applications in various fields.
- The study highlights the potential of biomimetic designs and advanced materials for next-generation sensing technologies.
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