论文标题
微型流动中的普遍自我缩放
Universal self-scalings in a micro-co-flowing
论文作者
论文摘要
关于在锥形矩形PMMA微通道中自我缩放的共同流量的假设，用于产生单分散的液体细胞时，在自相似性框架下发现了所有液体脱离机制的通用尺度。通过机器学习分类，清楚地计算出泛滴和泛滥的制度，以大约$ 1 $的韦伯数量计算到边界，毛细管数量约为0.28美元。不同流动型的液体细胞的尺寸以及脱离频率的行为以相同的方式行为并服从相同的法律，并且从未报道过这种高度一致的行为在流动方案中破坏了物理障碍。
On hypothesis of self-scaling co-flows in tapered rectanglar PMMA micro-channels for producing mono-dispersed liquid cells, universal scalings through all liquid detaching regimes are found under a self-similarity frame. Pan-dripping and Pan-jetting regimes are calculated clearly to border at the Weber number approximately $1$ and the capillary number approximately $0.28$ by machine learning classification. The sizes, as well as detaching frequencies, of liquid cells in different flow regimes behave at the same manner and submit to the same law, and such highly consistent behaviors breaking through physical barriers among flow regimes have never been reported.
