论文标题
通过竞争铁动力学控制和调节液滴汽化速率
Control and modulation of droplet vaporization rates via competing ferro- and electro-hydrodynamics
论文作者
论文摘要
对微流体液滴的汽化动力学的修改和控制可能在几种科学和技术应用中具有强大的功利主义意义。文章报告了对竞争性内水力动力学和铁水力动力学对流的影响,对吊滴的蒸发动力学的控制。进行实验和理论研究,并使用正交电和磁性刺激建立了电导导电和顺磁性流体液滴的蒸发动力学的变形。对观察结果的分析表明,与磁场相比,电场具有巨大的影响。虽然磁场被发现有助于蒸发速率,但观察到电场减速相同。蒸气扩散既不主导动力学,也不能诱导修饰的表面张力来解释观察到的蒸发行为。液滴内的速度法显示出很大变化的内部铁血和电水动力对流,这被认为是改良汽化速率的机制的症结。提出了数学处理,并考虑了Hartmann,电水动力学,相互作用,热和溶质Marangoni以及Electro和Electro和Magneto Prandtl和Schmidt数字的作用。可以观察到,电磁相互作用数对热和溶质的Marangoni数的变形在变形的动力学方面起着主要作用。该模型能够准确预测内部对流速度。这些发现可能对微水力动力学运输范式中的智能控制和调整蒸发动力学的调整具有巨大的希望。
Modification and control over the vaporization kinetics of microfluidic droplets may have strong utilitarian implications in several scientific and technological applications. The article reports the control over the vaporization kinetics of pendent droplets under the influence of competing internal electrohydrodynamic and ferrohydrodynamic advection. Experimental and theoretical studies are performed and the morphing of vaporization kinetics of electrically conducting and paramagnetic fluid droplets using orthogonal electric and magnetic stimuli is established. Analysis of the observations reveals that the electric field has a domineering influence compared to the magnetic field. While the magnetic field is noted to aid the vaporization rates, the electric field is observed to decelerate the same. Neither the vapour diffusion dominated kinetics nor the field induced modified surface tension can explain the observed vaporization behaviours. Velocimetry within the droplet shows largely modified internal ferro and electrohydrodynamic advection, which is noted to be the crux of the mechanism towards modified vaporization rates. A mathematical treatment is proposed and takes into account the roles played by the governing Hartmann, electrohydrodynamic, interaction, the thermal and solutal Marangoni, and the electro and magneto Prandtl and Schmidt numbers. It is observed that the morphing of the thermal and solutal Marangoni numbers by the electromagnetic interaction number plays the dominant role towards morphing the advection dynamics. The model is able to predict the internal advection velocities accurately. The findings may hold significant promise towards smart control and tuning of vaporization kinetics in microhydrodynamics transport paradigms.