支持神经网络,对非牛顿流体流量进行全电子控制
Huilu Bao1, Xin Zhang1, Xiaoyu Zhang1
1Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA.
概括
本研究引入了一种全电子系统,用于精确实时控制微通道中的非牛顿流体流量. 这种新的方法提高了制造业和医疗保健应用的灵敏度和响应能力.
科学领域:
- 流体动力学 流体动力学
- 微流体学 微流体学
- 控制系统工程 控制系统工程
背景情况:
- 精确控制微通道中的非牛顿流体流动对于先进的制造业和医疗保健至关重要.
- 目前的方法往往缺乏必要的灵敏度和实时响应能力,以有效调整流量.
- 挑战包括精确测量和微观复杂流体行为的动态控制.
研究的目的:
- 开发一种高灵敏度,实时,全电子系统,用于控制微尺度通道中的非牛顿流体流动.
- 解决现有技术在测量准确性和控制响应性方面的局限性.
- 提供微流体流量管理的多功能和综合解决方案.
主要方法:
- 集成一个非接触式,袖子状的流量传感器与基于神经网络的控制算法.
- 开发一种闭环系统,用于动态调节流体流动波形.
- 使用微尺度出口用于精确的流体输送 (0.76μl/分钟).
主要成果:
- 证明了各种非牛顿流体流动波形的闭环,实时控制.
- 在流量测量和控制中实现了高灵敏度.
- 该系统在微观流体操纵方面被证明是有效的.
结论:
- 开发的全电子系统为非牛顿流体流量控制提供了简单,小型化和高性能解决方案.
- 这项技术可以很容易地集成到现有的微流体装置中.
- 该系统提升了微尺度流体管理的能力,用于各种应用.
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