期刊
ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING
卷 15, 期 2, 页码 -出版社
WILEY
DOI: 10.1002/apj.2407
关键词
microfluidic; micromixer; mixing index; mixing performance; RGB model
资金
- Universiti Malaysia Sarawak [F02/CDRG/1827/2019]
Microfluidic mixing is a key process in miniaturized analysis system. Achieving adequate mixing performance is considerably difficult in microfluidic micromixer, as the flow is always associated with unfavorable laminar flow and dominated by molecular diffusion. The mixing performance of these micromixers are generally characterized as a function of mixing index based on dispersion (homogeneity) information, leading to either an overestimated or underestimated mixing index. This paper presents a new method for determining the mixing index of micromixers based on RGB color model by decoding mixing images to their respective red, green, and blue pixel intensities. Several digital composite images were used to perform initial benchmarking, and the proposed method accurately quantified the mixing index significantly better than previously adopted methods. The practicality of the method was further demonstrated by characterizing mixing of well-known micromixers, namely T- and Y- micromixers, at varying Reynolds numbers of 5 <= Re <= 100. The results show that the mixing index decreases with the increase in Reynolds number, whereas the mixing index of the T-micromixer was superior to that of Y-micromixer, both agreeing well with the literature. The mixing index of these micromixers at varying Reynolds numbers of 5 <= Re <= 100 calculated using other methods were also compared and discussed. The proposed method is foreseen handy and robust in characterizing mixing in real time for gradient mixing in networked microchannels and multivortex mixing for the manipulation of fluids, particles, and biological substances.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据