Lin Li , Pu Xu , Qihan Li , Runyuan Zheng , Xiaoming Xu , Jiafeng Wu , Baiyan He , Jiaji Bao , Dapeng Tan
{"title":"微流控芯片的 LBM-LES-DEM 粒子流耦合建模和基于超声波的粒子聚集控制方法","authors":"Lin Li , Pu Xu , Qihan Li , Runyuan Zheng , Xiaoming Xu , Jiafeng Wu , Baiyan He , Jiaji Bao , Dapeng Tan","doi":"10.1016/j.apm.2025.116025","DOIUrl":null,"url":null,"abstract":"<div><div>Microfluidic chips present considerable potential in biomedical analysis and high-throughput cell separation, owing to their efficient and precise microscale flow control capabilities. In microscale channels, the highly nonlinear mechanics of vortex mixing and flow pattern evolution pose challenges to solid-liquid mass transfer modeling and particle cluster control. To address the above challenge, this paper proposes a two-phase particle flow modeling and ultrasonic-based particle aggregation control method for serpentine bionic microchannels in microfluidic chips. The particle flow dynamics model is established by coupling the lattice Boltzmann method (LBM) with the discrete element method (DEM), and integrating it with the large eddy simulation (LES) model. The LBM-LES-DEM model reveals the mixing and mass transfer mechanisms and particle distribution patterns in the serpentine channel under varying flow and particle conditions. Finally, utilizing an ultrasonic excitation strategy, the dispersion of particle distribution within the microchannels is significantly improved, and the fractal geometric dimension theory is used for quantitative characterization of the dispersion. This study demonstrates that the proposed modeling approach, combined with the ultrasonic excitation suppression strategy, effectively elucidates the mechanisms of flow field-particle mixing and mass transfer, as well as the evolution of particle flow patterns. The enhancement of turbulent characteristics in the flow field through ultrasonic excitation improves particle dispersion within the microchannels, effectively preventing particle deposition and agglomeration. Relevant results provide valuable insights into interphase interactions, cross-scale mass transfer, and particle distribution in microchannel flows, while providing technical support for optimizing mixing efficiency and dynamic processes in microfluidic chips.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"143 ","pages":"Article 116025"},"PeriodicalIF":4.4000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A coupled LBM-LES-DEM particle flow modeling for microfluidic chip and ultrasonic-based particle aggregation control method\",\"authors\":\"Lin Li , Pu Xu , Qihan Li , Runyuan Zheng , Xiaoming Xu , Jiafeng Wu , Baiyan He , Jiaji Bao , Dapeng Tan\",\"doi\":\"10.1016/j.apm.2025.116025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Microfluidic chips present considerable potential in biomedical analysis and high-throughput cell separation, owing to their efficient and precise microscale flow control capabilities. In microscale channels, the highly nonlinear mechanics of vortex mixing and flow pattern evolution pose challenges to solid-liquid mass transfer modeling and particle cluster control. To address the above challenge, this paper proposes a two-phase particle flow modeling and ultrasonic-based particle aggregation control method for serpentine bionic microchannels in microfluidic chips. The particle flow dynamics model is established by coupling the lattice Boltzmann method (LBM) with the discrete element method (DEM), and integrating it with the large eddy simulation (LES) model. The LBM-LES-DEM model reveals the mixing and mass transfer mechanisms and particle distribution patterns in the serpentine channel under varying flow and particle conditions. Finally, utilizing an ultrasonic excitation strategy, the dispersion of particle distribution within the microchannels is significantly improved, and the fractal geometric dimension theory is used for quantitative characterization of the dispersion. This study demonstrates that the proposed modeling approach, combined with the ultrasonic excitation suppression strategy, effectively elucidates the mechanisms of flow field-particle mixing and mass transfer, as well as the evolution of particle flow patterns. The enhancement of turbulent characteristics in the flow field through ultrasonic excitation improves particle dispersion within the microchannels, effectively preventing particle deposition and agglomeration. Relevant results provide valuable insights into interphase interactions, cross-scale mass transfer, and particle distribution in microchannel flows, while providing technical support for optimizing mixing efficiency and dynamic processes in microfluidic chips.</div></div>\",\"PeriodicalId\":50980,\"journal\":{\"name\":\"Applied Mathematical Modelling\",\"volume\":\"143 \",\"pages\":\"Article 116025\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematical Modelling\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0307904X25001003\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25001003","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A coupled LBM-LES-DEM particle flow modeling for microfluidic chip and ultrasonic-based particle aggregation control method
Microfluidic chips present considerable potential in biomedical analysis and high-throughput cell separation, owing to their efficient and precise microscale flow control capabilities. In microscale channels, the highly nonlinear mechanics of vortex mixing and flow pattern evolution pose challenges to solid-liquid mass transfer modeling and particle cluster control. To address the above challenge, this paper proposes a two-phase particle flow modeling and ultrasonic-based particle aggregation control method for serpentine bionic microchannels in microfluidic chips. The particle flow dynamics model is established by coupling the lattice Boltzmann method (LBM) with the discrete element method (DEM), and integrating it with the large eddy simulation (LES) model. The LBM-LES-DEM model reveals the mixing and mass transfer mechanisms and particle distribution patterns in the serpentine channel under varying flow and particle conditions. Finally, utilizing an ultrasonic excitation strategy, the dispersion of particle distribution within the microchannels is significantly improved, and the fractal geometric dimension theory is used for quantitative characterization of the dispersion. This study demonstrates that the proposed modeling approach, combined with the ultrasonic excitation suppression strategy, effectively elucidates the mechanisms of flow field-particle mixing and mass transfer, as well as the evolution of particle flow patterns. The enhancement of turbulent characteristics in the flow field through ultrasonic excitation improves particle dispersion within the microchannels, effectively preventing particle deposition and agglomeration. Relevant results provide valuable insights into interphase interactions, cross-scale mass transfer, and particle distribution in microchannel flows, while providing technical support for optimizing mixing efficiency and dynamic processes in microfluidic chips.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.