Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗

Toshio Takayama; Takayuki Akai; Chia-Hung Tsai; Makoto Kaneko

doi:10.1109/CBS.2018.8612202

Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗

Toshio Takayama^*, Takayuki Akai, Chia-Hung Tsai, Makoto Kaneko

^*Corresponding author for this work

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a new concept of 'Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber'. We search the streamlines from the target chamber to the point in the cross-section at the entrance, so that we can find an optimum medicine injection point. The optimum condition is that all streamlines in target chamber start from the smallest cross-sectional area for a given microfluidic chip. The idea is enhanced by designing the microfluidic channel with the desirable streamline mapping between the target chamber and the cross-section at the entrance. We show that the liquid supplied at a particular point can fully cover the chamber in both simulations and experiments.

Original language	English
Title of host publication	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	84-87
Number of pages	4
ISBN (Electronic)	9781538673553
DOIs	https://doi.org/10.1109/CBS.2018.8612202
State	Published - 14 Jan 2019
Event	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018 - Shenzhen, China Duration: 25 Oct 2018 → 27 Oct 2018

Publication series

Name	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018

Conference

Conference	2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Country	China
City	Shenzhen
Period	25/10/18 → 27/10/18

Access to Document

10.1109/CBS.2018.8612202

Link to publication in Scopus

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Takayama, T., Akai, T., Tsai, C-H., & Kaneko, M. (2019). Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗. In 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018 (pp. 84-87). [8612202] (2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBS.2018.8612202

Takayama, Toshio ; Akai, Takayuki ; Tsai, Chia-Hung ; Kaneko, Makoto. / Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗. 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 84-87 (2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018).

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title = "Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗",

abstract = "This paper proposes a new concept of 'Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber'. We search the streamlines from the target chamber to the point in the cross-section at the entrance, so that we can find an optimum medicine injection point. The optimum condition is that all streamlines in target chamber start from the smallest cross-sectional area for a given microfluidic chip. The idea is enhanced by designing the microfluidic channel with the desirable streamline mapping between the target chamber and the cross-section at the entrance. We show that the liquid supplied at a particular point can fully cover the chamber in both simulations and experiments.",

author = "Toshio Takayama and Takayuki Akai and Chia-Hung Tsai and Makoto Kaneko",

year = "2019",

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doi = "10.1109/CBS.2018.8612202",

language = "English",

series = "2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "null ; Conference date: 25-10-2018 Through 27-10-2018",

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Takayama, T, Akai, T, Tsai, C-H & Kaneko, M 2019, Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗. in 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018., 8612202, 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 84-87, 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018, Shenzhen, China, 25/10/18. https://doi.org/10.1109/CBS.2018.8612202

Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗. / Takayama, Toshio; Akai, Takayuki; Tsai, Chia-Hung; Kaneko, Makoto.

2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 84-87 8612202 (2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper proposes a new concept of 'Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber'. We search the streamlines from the target chamber to the point in the cross-section at the entrance, so that we can find an optimum medicine injection point. The optimum condition is that all streamlines in target chamber start from the smallest cross-sectional area for a given microfluidic chip. The idea is enhanced by designing the microfluidic channel with the desirable streamline mapping between the target chamber and the cross-section at the entrance. We show that the liquid supplied at a particular point can fully cover the chamber in both simulations and experiments.

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Takayama T, Akai T, Tsai C-H, Kaneko M. Inverse Streamline Mapping for Finding an Optimum Medicine Injection Point in Micro Chamber∗. In 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 84-87. 8612202. (2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018). https://doi.org/10.1109/CBS.2018.8612202