Neural network–enabled, all-electronic control of non-Newtonian fluid flow

Real-time, all-electronic control of non-Newtonian fluid flow through a microscale channel is crucial for various applications in manufacturing and healthcare. However, existing methods lack the sensitivity required for accurate measurement and the real-time responsiveness necessary for effective adjustment. Here, we demonstrate an all-electronic system that enables closed-loop, real-time, high-sensitivity control of various waveforms of non-Newtonian fluid flow (0.76 <i>μ</i>l min<sup>-1</sup>) through a micro-sized outlet. Our approach combines a contactless, cuff-like flow sensor with a neural-network control program. This system offers a simple, miniaturized, versatile, yet high-performance solution for non-Newtonian fluid flow control, easily integrated into existing setups.

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Publication Details

Journal
Applied Physics Letters
Published
2024-10-14
DOI
https://doi.org/10.1063/5.0226525
Citations
1
Primary Topic
Microfluidic and Capillary Electrophoresis Applications
Type
article
Field-Weighted Citation Impact
0.18

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article

Neural network–enabled, all-electronic control of non-Newtonian fluid flow

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Applied Physics Letters
Microfluidic and Capillary Electrophoresis Applications
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article

Neural network–enabled, all-electronic control of non-Newtonian fluid flow

Xin Hai Zhang, Xiao Fan, Huilu Bao, Jinglei Ping, J. William Boley, Xiaoyu Zhang
article en
1 citations

Abstract

Real-time, all-electronic control of non-Newtonian fluid flow through a microscale channel is crucial for various applications in manufacturing and healthcare. However, existing methods lack the sensitivity required for accurate measurement and the real-time responsiveness necessary for effective adjustment. Here, we demonstrate an all-electronic system that enables closed-loop, real-time, high-sensitivity control of various waveforms of non-Newtonian fluid flow (0.76 <i>μ</i>l min<sup>-1</sup>) through a micro-sized outlet. Our approach combines a contactless, cuff-like flow sensor with a neural-network control program. This system offers a simple, miniaturized, versatile, yet high-performance solution for non-Newtonian fluid flow control, easily integrated into existing setups.

Applied Physics LettersVol. 125(16)
Boston University (US), University of Massachusetts Amherst (US)
National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences, Division of Civil, Mechanical and Manufacturing Innovation, Air Force Office of Scientific Research
Openalex Percentile: Top 52%
Microfluidic and Capillary Electrophoresis Applications
0.18
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