惯性粒子微流体应用的晶格-玻尔兹曼建模-教程综述

IF 7.7 2区物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY

Advances in Physics: X Pub Date : 2023-09-24 DOI:10.1080/23746149.2023.2246704

Benjamin Owen, Konstantinos Kechagidis, Sajad Razavi Bazaz, Romain Enjalbert, Erich Essmann, Calum Mallorie, Fatemehsadat Mirghaderi, Christian Schaaf, Krishnaveni Thota, Rohan Vernekar, Qi Zhou, Majid Ebrahimi Warkiani, Holger Stark, Timm Krüger

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引用次数: 0

摘要

惯性微粒微流控技术是一种用于微粒和生物细胞的操作和分离的新兴技术。由于IPMF的流动物理是复杂的，实验研究往往是耗时或昂贵的，计算机模拟可以提供补充的见解。在本教程综述中，我们为正在探索晶格-玻尔兹曼(LB)方法在模拟IPMF应用中的潜力的研究人员提供了指南。我们首先回顾了现有文献，以建立基于lb的IPMF模型的最新状态。在总结了IPMF的物理特性之后，我们介绍了用于IPMF的LB模型的相关方法，并展示了一系列IPMF场景下LB模拟的几个案例研究。最后，对本文的研究进行了展望，并提出了今后的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Lattice-Boltzmann modelling for inertial particle microfluidics applications - a tutorial review

Inertial particle microfluidics (IPMF) is an emerging technology for the manipulation and separation of microparticles and biological cells. Since the flow physics of IPMF is complex and experimental studies are often time-consuming or costly, computer simulations can offer complementary insights. In this tutorial review, we provide a guide for researchers who are exploring the potential of the lattice-Boltzmann (LB) method for simulating IPMF applications. We first review the existing literature to establish the state of the art of LB-based IPMF modelling. After summarising the physics of IPMF, we then present related methods used in LB models for IPMF and show several case studies of LB simulations for a range of IPMF scenarios. Finally, we conclude with an outlook and several proposed research directions.

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来源期刊

Advances in Physics: X Physics and Astronomy-General Physics and Astronomy

CiteScore

13.60

自引率

0.00%

发文量

审稿时长

13 weeks

期刊介绍： Advances in Physics: X is a fully open-access journal that promotes the centrality of physics and physical measurement to modern science and technology. Advances in Physics: X aims to demonstrate the interconnectivity of physics, meaning the intellectual relationships that exist between one branch of physics and another, as well as the influence of physics across (hence the “X”) traditional boundaries into other disciplines including: Chemistry Materials Science Engineering Biology Medicine