Grey Relationship optimization based structural design Inspired by Cantor fractals for micromixers in nanoliposome preparation
文献类型： 外文期刊
作者： Zhou, Wei 1 ; Zhang, Wenqiang 1 ; Liang, Chao 2 ; Deng, Xue 3 ; Xu, Wentao 4 ;
作者机构： 1.China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
2.Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China
3.Chinese Acad Agr Mechanizat Sci Grp Co, Beijing 100083, Peoples R China
4.China Agr Univ, Inst Nutr & Hlth, Dept Nutr & Hlth, Minist Educ,Key Lab Precis Nutr & Qual Control Foo, Beijing 100083, Peoples R China
关键词： Microfluidic chips; Cantor fractal theory; Fluid control; Mixing; Nanoliposome Preparation
期刊名称：CHEMICAL ENGINEERING SCIENCE （ 影响因子：4.3； 五年影响因子：4.3 ）
ISSN： 0009-2509
年卷期： 2025 年 308 卷
页码：
收录情况： SCI
摘要： Efficient fluid blending in small-volume flow channels with high throughput is essential for the preparation of nanoliposomes. However, designing micromixer channel structures that optimize mixing efficiency while minimizing pressure drop remains a significant challenge. To address this, we developed a micromixer based on Cantor fractal theory, incorporating cantilevered baffles on both the side and bottom surfaces. The configuration was optimized using grey relational analysis. This micromixer achieved a mixing efficiency of 0.9960 and a Poiseuille number of 647.92, demonstrating superior mixing performance and operational safety. Laser engraving was utilized to fabricate the complex flow channel structure, producing nanoliposomes with a mean particle size of 128 nm and a polydispersity index of 0.23. Furthermore, our findings reveal that the channel's depth-to-width ratio significantly impacts both mixing efficiency and power consumption, underscoring its reliability and scalability for high-flow-rate applications.
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