Machine learning assisted fast prediction of inertial lift in microchannels
文献类型：期刊论文
| 作者 | Su, Jinghong2,3,4; Chen, Xiaodong1; Zhu, Yongzheng2,3; Hu, Guoqing4; Chen XD(陈晓东) ; Zhu YZ(朱勇铮); Hu GQ(胡国庆); Hu GQ(胡国庆); Chen XD(陈晓东); Zhu YZ(朱勇铮)
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| 刊名 | LAB ON A CHIP
 |
| 出版日期 | 2021-05-11 |
| 页码 | 13 |
| ISSN号 | 1473-0197 |
| DOI | 10.1039/d1lc00225b |
| 通讯作者 | Hu, Guoqing(ghu@zju.edu.cn) |
| 英文摘要 | Inertial effect has been extensively used in manipulating both engineered particles and biocolloids in microfluidic platforms. The design of inertial microfluidic devices largely relies on precise prediction of particle migration that is determined by the inertial lift acting on the particle. In spite of being the only means to accurately obtain the lift forces, direct numerical simulation (DNS) often consumes high computational cost and even becomes impractical when applied to microchannels with complex geometries. Herein, we proposed a fast numerical algorithm in conjunction with machine learning techniques for the analysis and design of inertial microfluidic devices. A database of inertial lift forces was first generated by conducting DNS over a wide range of operating parameters in straight microchannels with three types of cross-sectional shapes, including rectangular, triangular and semicircular shapes. A machine learning assisted model was then developed to gain the inertial lift distribution, by simply specifying the cross-sectional shape, Reynolds number and particle blockage ratio. The resultant inertial lift was integrated into the Lagrangian tracking method to quickly predict the particle trajectories in two types of microchannels in practical devices and yield good agreement with experimental observations. Our database and the associated codes allow researchers to expedite the development of the inertial microfluidic devices for particle manipulation. |
| WOS关键词 | SPHERICAL-PARTICLE ; SPIRAL MICROCHANNEL ; CELL-SEPARATION ; POISEUILLE FLOW ; CROSS-SECTION ; MIGRATION ; MICROFLUIDICS ; MANIPULATION ; NETWORKS |
| 资助项目 | Natural Science Foundation of China[11832017] ; Natural Science Foundation of China[11772343] ; Chinese Academy of Sciences Key Research Program of Frontier Sciences[QYZDB-SSW-JSC036] ; Chinese Academy of Sciences Strategic Priority Research Program[XDB22040403] ; Beijing Institute of Technology Research Fund Program for Young Scholars |
| WOS研究方向 | Biochemistry & Molecular Biology ; Chemistry ; Science & Technology - Other Topics ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000651138000001 |
| 资助机构 | Natural Science Foundation of China ; Chinese Academy of Sciences Key Research Program of Frontier Sciences ; Chinese Academy of Sciences Strategic Priority Research Program ; Beijing Institute of Technology Research Fund Program for Young Scholars |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/86611]  |
| 专题 | 力学研究所_非线性力学国家重点实验室 |
| 通讯作者 | Hu, Guoqing |
| 作者单位 | 1.Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech LNM, Beijing 100190, Peoples R China 4.Zhejiang Univ, Dept Engn Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China |
| 推荐引用方式 GB/T 7714 | Su, Jinghong,Chen, Xiaodong,Zhu, Yongzheng,et al. Machine learning assisted fast prediction of inertial lift in microchannels[J]. LAB ON A CHIP,2021:13. |
| APA | Su, Jinghong.,Chen, Xiaodong.,Zhu, Yongzheng.,Hu, Guoqing.,陈晓东.,...&Zhu YZ.(2021).Machine learning assisted fast prediction of inertial lift in microchannels.LAB ON A CHIP,13. |
| MLA | Su, Jinghong,et al."Machine learning assisted fast prediction of inertial lift in microchannels".LAB ON A CHIP (2021):13. |
入库方式： OAI收割
来源：力学研究所
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