AI 中文总结
本文开发了能捕捉界面流与电动力学相互作用的格子玻尔兹曼方案，结合模拟与解析计算建立了微柱LIS上电场驱动液滴的力的定量模型，可准确捕捉液滴动力学，有望实现液滴的精确控制。
AI 中文摘要
电场（EF）作为一种非接触控制方法，可用于驱动润滑剂浸润表面（LIS）上的液滴动力学，在药物制造、3D打印等领域具有众多潜在应用。然而，人们对由此产生的液滴动力学仍知之甚少，尤其是液滴在LIS上存在多种可能的润滑状态。本文开发了一种格子玻尔兹曼方案，该方案能完全捕捉界面流与电动力学之间的相互作用，并利用该方案研究微柱LIS上电场驱动的液滴。结合模拟与解析计算，我们建立了作用于运动液滴的阻力和电场力的定量表达式。我们证明这些模型能准确捕捉可编程操纵过程中的液滴动力学，包括周期性运动和长距离输运。这种可靠的理论模型有望通过消除对反复试验的依赖，变革液滴动力学的精确控制。
英文摘要
As a non-contact control approach, electric field (EF) can be utilised to drive droplet dynamics on a lubricant-infused surface (LIS), with numerous potential applications ranging from drug manufacturing to 3D printing. However, the resulting droplet dynamics remain poorly understood, especially as there are several possible droplet lubrication states on LIS. Here, we develop a lattice Boltzmann scheme that fully captures the interplay between the interfacial flows and electrohydrodynamics and harness it to investigate EF driven droplets on micropillar LIS. Combining simulations and analytical calculations, we establish quantitative expressions for the drag force and the electric force acting on a moving droplet. We demonstrate that the models can accurately capture droplet dynamics during programmable manipulation, including periodic motion and long-distance transport. Such reliable theoretical models can potentially transform precision control of droplet dynamics by removing the reliance on trial and error tests.
