The modelling-based design of microfluidic devices leads to highly efficient process intensification, which provides insights into different temporal and spatial scales at which processes in various fields of application could be performed. This requires not only an understanding of the underlying mechanisms of different processes at the micro scale, but also the development of relevant computational tools. The macroscopic models are often unable to produce conclusive evidence for a given mechanism in systems with the complexity characterizing almost all chemical and biochemical processes. By contrast, mesoscale methods possess the unique ability to model relatively large physical systems, and, at the same time, effectively capture the essential features of the micro- and nanoscale structure, architecture, and relevant interactions. We demonstrate the feasibility and usefulness of this novel tool by considering a movement of neutrally buoyant particles in straight microchannels. The two-dimensional lattice Boltzmann method with immersed boundary conditions was used to study the influence of Reynolds number and particle diameter ratio on formation of particle trains. It was shown that an increase in particle diameter ratio leads to a less stable final particle configuration. An increase in Reynolds number was not found to significantly influence the train stability in the tested range.

基于模型的微流控设备设计可导致高效的过程强化，从而提供对不同时空尺度的洞察力，在不同时空尺度上可以执行各种应用领域的过程。这不仅需要从微观上理解不同过程的潜在机制，还需要开发相关的计算工具。宏观模型通常无法为系统中给定的机理提供确凿的证据，其复杂性几乎表征了所有化学和生化过程。相比之下，中尺度方法具有对相对较大的物理系统进行建模的独特能力，并且可以同时有效地捕获微尺度和纳米尺度结构，体系结构以及相关相互作用的基本特征。我们通过考虑中性浮力粒子在笔直的微通道中的运动，证明了这种新颖工具的可行性和实用性。利用二维边界条件下的格子Boltzmann方法研究了雷诺数和粒径比对粒子列形成的影响。结果表明，粒径比的增加导致最终颗粒构型的稳定性降低。在测试范围内，未发现雷诺数的增加会显着影响列车的稳定性。利用二维边界条件下的格子Boltzmann方法研究了雷诺数和粒径比对粒子列形成的影响。结果表明，粒径比的增加导致最终颗粒构型的稳定性降低。在测试范围内，未发现雷诺数的增加会显着影响列车的稳定性。利用二维边界条件下的格子Boltzmann方法研究了雷诺数和粒径比对粒子列形成的影响。结果表明，粒径比的增加导致最终颗粒构型的稳定性降低。在测试范围内，未发现雷诺数的增加会显着影响列车的稳定性。