Source data for the publication: Metachronal actuation of microscopic magnetic artificial cilia generates strong microfluidic pumping (dataset)

Source data for the publication: Metachronal actuation of microscopic magnetic artificial cilia generates strong microfluidic pumping

doi: 10.4121/19915450.v1

The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19915450

Datacite citation style:

Toonder, den, Jaap (2022): Source data for the publication: Metachronal actuation of microscopic magnetic artificial cilia generates strong microfluidic pumping. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19915450.v1

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Dataset

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1114

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categories

Mechanical Engineering

keywords

Artificial Cilia, Magnetic Actuation, Metachrony, Microfluidic pumping

licence

CC BY-NC 4.0

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by Jaap den Toonder

This data set contains the source data of the publication: Zhang, S., Cui, Z., Wang, Y. & Toonder, J.M.J. den (2020). Metachronal actuation of microscopic magnetic artificial cilia generates strong microfluidic pumping. Lab Chip 20, 3569-3581. DOI: https://dx.doi.org/10.1039/D0LC00610F. This study experimentally demonstrates that microscopic magnetic artificial cilia performing a metachronal motion can generate strong microfluidic flows, with velocities of up to 3000 um/s in water. The pumping performance of the metachronal microMAC outperforms all previously reported microscopic artificial cilia, and is competitive with that of most of the existing microfluidic pumping methods. The data are experimentally obtained with methods described in the publication.

history

2022-05-30 first online, published, posted

publisher

4TU.ResearchData

format

Publication: .pdf Data: both in .xlsx, and .csv

associated peer-reviewed publication

Metachronal actuation of microscopic magnetic artificial cilia generates strong microfluidic pumping

funding

Bio-Inspired Microfluidics Platform for Biomechanical Analysis (grant code 833214) [more info...] European Research Council

organizations

TU Eindhoven, Department of Mechanical Engineering

DATA

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