2015 ◽  
Vol 9 (3) ◽  
pp. 034105 ◽  
Author(s):  
Chia-Yuan Chen ◽  
Ling-Ying Cheng ◽  
Chun-Chieh Hsu ◽  
Karthick Mani

2019 ◽  
Vol 285 ◽  
pp. 234-240 ◽  
Author(s):  
Chang-Hung Lu ◽  
Chien-Hsin Tang ◽  
Neha Ghayal ◽  
Bivas Panigrahi ◽  
Chia-Yuan Chen ◽  
...  
Keyword(s):  

2013 ◽  
Vol 10 (78) ◽  
pp. 20120666 ◽  
Author(s):  
Sina Sareh ◽  
Jonathan Rossiter ◽  
Andrew Conn ◽  
Knut Drescher ◽  
Raymond E. Goldstein

Cilia are used effectively in a wide variety of biological systems from fluid transport to thrust generation. Here, we present the design and implementation of artificial cilia, based on a biomimetic planar actuator using soft-smart materials. This actuator is modelled on the cilia movement of the alga Volvox , and represents the cilium as a piecewise constant-curvature robotic actuator that enables the subsequent direct translation of natural articulation into a multi-segment ionic polymer metal composite actuator. It is demonstrated how the combination of optimal segmentation pattern and biologically derived per-segment driving signals reproduce natural ciliary motion. The amenability of the artificial cilia to scaling is also demonstrated through the comparison of the Reynolds number achieved with that of natural cilia.


RSC Advances ◽  
2013 ◽  
Vol 3 (31) ◽  
pp. 12735 ◽  
Author(s):  
Syed Khaderi ◽  
Jeanette Hussong ◽  
Jerry Westerweel ◽  
Jaap den Toonder ◽  
Patrick Onck

2015 ◽  
pp. 1-78 ◽  
Author(s):  
Syed N. Khaderi ◽  
Jaap M.J. den Toonder ◽  
Patrick R. Onck
Keyword(s):  

Nanomaterials ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 211 ◽  
Author(s):  
Debarun Sengupta ◽  
Duco Trap ◽  
Ajay Giri Prakash Kottapalli

Evolving over millions of years, hair-like natural flow sensors called cilia, which are found in fish, crickets, spiders, and inner ear cochlea, have achieved high resolution and sensitivity in flow sensing. In the pursuit of achieving such exceptional flow sensing performance in artificial sensors, researchers in the past have attempted to mimic the material, morphological, and functional properties of biological cilia sensors, to develop MEMS-based artificial cilia flow sensors. However, the fabrication of bio-inspired artificial cilia sensors involves complex and cumbersome micromachining techniques that lay constraints on the choice of materials, and prolongs the time taken to research, design, and fabricate new and novel designs, subsequently increasing the time-to-market. In this work, we establish a novel process flow for fabricating inexpensive, yet highly sensitive, cilia-inspired flow sensors. The artificial cilia flow sensor presented here, features a cilia-inspired high-aspect-ratio titanium pillar on an electrospun carbon nanofiber (CNF) sensing membrane. Tip displacement response calibration experiments conducted on the artificial cilia flow sensor demonstrated a lower detection threshold of 50 µm. Furthermore, flow calibration experiments conducted on the sensor revealed a steady-state airflow sensitivity of 6.16 mV/(m s−1) and an oscillatory flow sensitivity of 26 mV/(m s−1), with a lower detection threshold limit of 12.1 mm/s in the case of oscillatory flows. The flow sensing calibration experiments establish the feasibility of the proposed method for developing inexpensive, yet sensitive, flow sensors; which will be useful for applications involving precise flow monitoring in microfluidic devices, precise air/oxygen intake monitoring for hypoxic patients, and other biomedical devices tailored for intravenous drip/urine flow monitoring. In addition, this work also establishes the applicability of CNFs as novel sensing elements in MEMS devices and flexible sensors.


Lab on a Chip ◽  
2017 ◽  
Vol 17 (18) ◽  
pp. 3138-3145 ◽  
Author(s):  
Srinivas Hanasoge ◽  
Matthew Ballard ◽  
Peter J. Hesketh ◽  
Alexander Alexeev

We demonstrate magnetically actuated synthetic cilia that exhibit biomimetic asymmetric beating.


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